#Google Algorithm Change History | Explore Tumblr posts and blogs

lacefuneral · 2 years ago

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hi reddit. here are some tips.

i will be putting these below a "readmore" - which is the first lesson. on desktop there is a button for this. on mobile you type :readmore: followed by a linebreak. it is considered common ettique to shorten your long posts in this way.

by the way, are you reblogging a long post that isn't under a readmore? tag that as #long post so users can blacklist it and not have to scroll for five years.

(weird gaps in bullet points due to character limits lmao)

Title. Icon. Banner. blog description. (look around if you need an idea for what to put in your blog description.) Blogs without this information (ESPECIALLY the no icon + no title combo) gets you blocked immediately. This is because tumblr has always had a severe bot problem. Just grab a meme from your camera roll or a picture of a character you like from google.

also, because most users have their pronouns in their bio, it is expected that you will look there to check before addressing them, out of courtesy. don't just default to "they" - only do that if a person's pronoun's are unclear or if the pronouns listed ARE "they."

Disable public likes. the like button is for personal bookmarking. very often, people will like posts they have not read yet, so that they can read them later. a person's likes is not always reflective of their stances, and if your likes are public, people may use them against you in an argument. think of your likes as your browser history. tumblr users value privacy in this instance.

unrelated to the above point: likes are also used to show compassion for a user going through a tough time, or to say "hey, i thought this joke you made was funny." this use of likes is more for friend-to-friend communication.

Disable anything in your settings that is algorithmic including seeing posts based on other people's likes (one, because algorithms exist to make you mad and two, as part of respecting privacy)

set "following" to appear before "for you" (and overall avoid "for you")

Snooze Tumblr Live (sorry. you have to do this once a week bc tumblr sucks.)

Open your askbox so people can communicate with you. Decide if you want to allow anonymous asks and/or public DMs.

Enable the desktop version of your blog. This makes it so that when you use a computer and go to [yourusername].tumblr.com you can have a website with HTML and CSS. tumblr has tried very hard to kill blog personalization but you can find many helpful users posting in the tags, as well as pre-made themes you can install. tumblr users are the ones making the bulk of neocities websites, and in general tend to be friendly in redirecting you to resources.

enabling your desktop blog also allows you to insert links and do very basic editing (like inserting line breaks) in your blog description (we call "bio") which translates to the mobile version of your theme. you have to do this in the editor for the desktop on a computer. also, editing your theme on mobile (like changing color, font) will undo your HTML. your best bet is to edit your mobile theme first and THEN do the HTML/link stuff on a computer. i know it sounds a bit convoluted but you'll figure it out. (this website is made of duct tape)

also while you are on desktop: download xkit rewritten. it won't work on mobile but it gives you a lot of helpful features. also consider installing ublock origin if you haven't already, because tumblr will sometimes add annoying widgets to their website and that tool will allow you to block them. i also use "palettes for tumblr" to customize my dashboard color. tumblr DOES have built-in dashboard themes but i do not like them personally.

pinned posts. you can pin any post you make or reblog. some people use this to pin a funny meme, and other people use the pinned post as an extended bio (or otherwise an alternative to it). a tumblr post made on desktop can hold up to 30 images (the limit is 10 on mobile.) you can also embed links, a video, and even audio. you can change text color, have bullet points, and increase font size. as such, you can express yourself much more in a pinned post than in your mobile blog description. a typical pinned post may include information about the user, a link to an external website (like a carrd, neocities, or linktree), and sometimes an image or two. tumblr allows you to disable reblogs for a post, so most pinned posts are set this way so it just stays on a user's blog.

DNIs (also called "BYF"). not everyone uses them, and they can be divisive. it stands for "Do Not Interact" - and is a boundary set to keep people away. this may include age (example: "minors DNI"), political opinions (example: "prolifers DNI"), and sometimes deeply niche online discourse. DNIs are also sometimes a joke (example: "DNI if you like tuna salad"). there is actually a meme where someone will write a post with a very long, unreasonable DNI and users will count how many apply to them.

If you would upvote a post on reddit, you would reblog it here. If you see something and you think it is cool, you think it is funny, or you think it is helpful, reblog it. Some users have sideblogs (you can have infinite sideblogs attached to your main account) to organize all of the posts they reblog. Others simply use a tagging system for organizational purposes (and so users can blacklist ("filter") those tags in their settings if they don't want to see the post). For example, if I followed a user for Star Trek, but they also posted a lot of Star Wars, I might add "#star wars" to my list of filters. This way, I am only seeing the Star Trek posts. Tumblr's default way of handling this is to display a box that says "this post contains #Star Wars" and you can choose whether or not to open it. on desktop with xkit rewritten, you can have it hide those boxes entirely. please use filters. your sanity will thank you.

In a reblog, Organizational Tags are for /you./ I see a lot of confusion about this from new users. If you reblog someone else's post and add 500 tags..... it's not going to get picked up in tumblr search. You're not going to get any sort of exposure. Because it is not your post. Those tags are only for /you/ - if you want to find the post again.

tags are also used for commentary. most tumblr users do /not/ talk in post replies or in the comments of a reblog. most of them talk in tags. tags have a character limit so these messages are broken up in fragments. tumblr uses a comma (,) to make a new tag, so users often use either no punctuation or a period (.) or a hyphen (-) to break up thoughts. two apostrophes ('') are used instead of quotation marks (because they dont work in tags). this is also where "tumblr writing style" comes from. we all began to write in lowercase and use punctuation in. a weird way. like. for emphasis. there is also the Tumblr Comma, a special unicode character that resembles a comma and works in tags when copy+pasted or put there with a keyboard shortcut. but this is often not used. here it is: ‚

also here's an example of tags. you will notice that commentary goes before organizational: #GOD DHSHSKDDJDL #i cannot BELIEVE i forgot about this. what the fuck #star trek #spock

when leaving tags, most users talk to themselves. but please remember that tags can be seen by anyone, including the original poster. in general, it is discouraged to traumadump or be rude.

"prev tags" (which tumblr staff is trying their damnest to erase sadly) is when a user reblogs a post from another user and tags it simply ''prev'' or ''prev tags" (meaning "i agree with the previous user's tags"). sometimes it's because a thoughtful observation was made, but usually it's a way of saying "hey! that was a funny joke!" without putting the user on blast by screenshotting the tags. it's most common between friends and mutuals (users following each other). i would say it is equivalent to users whispering to each other and giggling rather than getting up on a table and shouting. "prev tag chain" is when users reblog "prev tags" "prev prev tags" - and so on. however, sadly, tumblr has removed the feature of moving backwards in a reblog chain on desktop. i have not updated my app and refuse to, so i so not know if it is gone on mobile as well, but it probably is. EDIT: the browser extension Xkit Rewritten has an option now, in "tweaks" called "restore links to individual posts in post header." it should be the first option. prev tags, on desktop at least, is saved!

screenshotting someone elses tags and adding the image in a reblog is known as "passing peer review." it is, however, considered to be Greatly Annoying to accompany those tags with unnecessary commentary (ex: "these tags pass peer review!" "WHY WOULD YOU LEAVE THIS IN THE TAGS" "LMAAOO THIS IS SO FUNNYYY"). the tags can stand on their own. the only instance in which this is different is during a serious discussion, when you want to build off of another user's perspective. in which case, you address them as normal. some people credit taggers, some people don't. crediting tends to occur in discussions.

when making an original post, do not use irrelevant tags for Exposure. this is Greatly Hated by the userbase and is also against the TOS. you will get blocked at best, reported or yelled at at worst. only add relevant tags, and do not go overboard.

reposting other people's artwork is highly discouraged and is considered the Highest Offense. if you do any sort of reposting, you should credit and link to a creator directly. however, tumblr loves reposted videos, especially ones from tiktok. there are entire accounts dedicated to posting those.

sideblogs! it is possible to have multiple blogs under one email address. tumblr treats these blogs as proxies of your main blog. this means that sending someone an ask/commenting in the replies of a post will always appear with the name of your main blog, your likes will appear with the name of your main blog, and that if you follow someone you will appear on their followers list as your main blog (so you may be mutuals with someone and not even know it because their sideblog interacts with you, but isn't on your follower's list... because their main blog is listed there instead.) however, DMs DO appear as the sideblog name. you cannot swap your main blog with your sideblog. and right now, there is a bug where deleting a sideblog will delete your entire tumblr account so. don't do that lol. anyway, the amount of sideblogs you can make is literally infinite and i think there's just a Daily Limit of creating 10 of them or something. some users make a sideblog for each interest they have. others have no sideblogs and reblog everything to main. and then you have people like me that do both. somehow. some users will make sideblogs to hoard URLs. also sorry i'm just introducing this now, but that is what our usernames are called. because when tumblr was more desktop-oriented, every blog was literally a Personal Website. so ya. we call them "URLs." anyway, if someone wants to hang onto a URL for later, they might save it on an empty blog. this usually pisses people off. a "canon URL" is when someone has a URL that is like One Word or a Company Name or a Fictional character. hypothetical examples: "ketchup" "burgerking" "lukeskywalker." these are highly rare, coveted, and you look cool as hell if you have one.

tumblr's /\/SFW policy (/\/ is an N. i've censored it.) is best described as ???. posts that are safe for work get marked as /\/SFW and hardcore p0rn somehow persists. in general, be very wary of posting even artistic nvdity (even though it is supposedly permitted.) never deliberately mark your own posts as Mature. this is essentially like walking directly into a bear trap and waving a big sign at tumblr staff saying "hey! make it so people can't find my blog and i'm far more likely to get banned!" also do not tag posts with "/\/SFW." too many of those will get your entire blog marked as mature (which makes your posts pretty much invisible to other users.) tumblr users used /\/SFT (/\/ot safe for tumblr) for a long time, but staff caught on. there is now no consensus and people use their own personal tags for it. just pick something and people will catch on and blacklist it if need be. (btw you CAN type whatever you want on this website. i am only censoring in the hopes that this will allow my post to appear in the tags. this isn't tiktok lol)

while it is possible to disable reblogs on a post, this is a very RECENT addition and most users forget it exists. as such, please use common sense. if someone has written a post about, say, how sad they are feeling because they got in a fight with their family... that's not a good post to reblog. a like would be better here, like a pat on the back.

we LOVE polls. we love them. they are like sports to us. most of them are popularity polls - who is the better character? but people also use polls for, say, making bug emojis "race" each other. or "lets build a cake." other people use polls to write poetry, or learn about regional differences, or even to draw a pen!s. if you tag a poll as "poll" it will most likely be seen and voted in, because users look in the tag to find buttons to click.

there is unfortunately a T3RF (this one censored specifically to protect my notifs lmao. 3 is E) presence here. report, block, ignore, move on. common courtesy for users to inform each other if one is accidentally reblogged from. it also helps to blacklist tags related to them to avoid them. use shinigam! eyes browser extension on desktop.

there is NO equivalent to reddit awards on this website. as the userbase hates the staff, it is considered blasphemous to spend your money on checkmarks, etc. - buying them as a gift for another user is seen as a hostile act. it's like receiving a "kick-me" sign. once owned, badges cannot be deleted. thankfully, tumblr now allows you to disable checkmarks and other badges from appearing publically. that said, some users also give checkmarks unironically to show appreciation??? and others buy checks for themselves???? so yeah. tumblr doesnt actually have a verification system - these exist to mock twitter and to make a quick buck.

tumblr blaze. essentially, tumblr has a system in place to showcase user posts instead of advertisements sometimes. this is done by the user paying money. the higher the amount, the more impressions. tumblr users can now also blaze OTHER PEOPLE'S POSTS. MAKE SURE YOU HAVE BLAZE DISABLED!!! blazing another person's post (without asking first) is seen as a hostile act. why? because most blazed posts result in rude comments from strangers who are annoyed to see the post on their dashboard. unless it's like, a cute picture of a cat. or something genuinely helpful. boosting your soundcloud or a selfie or a rant about fandom does not typically garner positive responses. you can blaze just like. watch out. and also always ask the OP if you want to blaze someone else's post. (there is a reason this feature is called "blaze pvp")

tumblr merch is also frowned upon, as tumblr staff steals ideas from the userbase and profits off of them without financially compensating or crediting the users. there was a meme on here, "vanilla extract", that tumblr turned into water bottles while the person who made the meme was having to fundraise to survive :(

BLOCK. LIBERALLY.

umm i think thats it for now. but like if you have questions feel free to launch them into The Void with some tags and users are pretty quick to help out! hopefully i covered some stuff that other ppl haven't

#reddit #196 #reddit migration

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theluckyblackcat2025 · 4 months ago

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Algorithms of Oppression - Blog Post #3

What are some long-term consequences of Technological Redlining that Noble mentions? In the book, Algorithms of Oppression, the author, Safiya Noble defined the term technological redlining to highlight the oppressive social relationships and forms of racial profiling that have been coded into our digital algorithms on the internet. The author first wants us to recognize who is creating these values and types of digital decisions that are reinforcing racial and sexist inequalities. Regarding long-term consequences, these are already happening in our world and continue today. One large issue has been the workforce widening the wage gap for women and Black folks by upholding the standards for hiring White men over other marginalized groups. Our digital world and access is not neutral or objective but reflects the actions and behaviors of who set it up and for what purpose the programs were set up for. This is an attempt to forcibly remove access for women and people of color and ultimately reinforces racist and sexist oppressive systems when simply applying for jobs. Another long-term issue that continues today, is the objectification of Black women, for example when googling “Black girls” pulls up pornography websites for racially marginalized women, reinforcing other concepts Noble has coined, “Algorithmic oppression”. We need to understand that the digital world is created by humans, assumingly White men, and if this is the result of simply searching up “Black girls”, then what does this tell us about how they view Black people? These create further harmful long-term consequences that negatively limit marginalized groups from equal access as simple as getting hired and reinforces their views on Black bodies as objects and dehumanizes, to be considered less than human beings(Noble, 2018, p.24-33).

2. Why should we be concerned about popular search engines like Google?

I believe globally people are blinded by the intense overarching access the internet like Google has provided us, and forget how dangerous and weaponized these engines can be used for. This is especially true for White, male, cis/het, and high class identity groups that are responsible for the creation of such algorithms and aren't impacted the same way due to our harmful social system and power structures. Google is one of the most famous search engines globally and used all the time for day-to-day simple tasks, but we need to remember who coded and created these algorithms. As Noble says in, Algorithms of Oppression, “Google Search is an advertising company, not a reliable information company(Noble, 2018, p.34)”. This search engine is responsible for multiple racially oppressive forms by reinforcing racial and gender inequalities, like supporting the false idea of Black folks being facial recognized as “apes” and/or “animals”, limiting hiring access based on gender and race, and continuously “pornifying” women of color to name a few. Through all these negative consequences of oppressive algorithms, Noble urges the need to fight back, and raise voices of concerns in order to impact and change public policy on how marginalized groups are being constrained and negatively viewed in the digital world. As educated individuals we should be spreading this information and awareness to find search engine alternatives that don't reinforce systemic inequalities and discriminatory behavior(Noble, 2018, p.24-36).

3. Why does something as simple as your name hold more weight and potential consequences for racially marginalized groups?

In the book, Race After Technology, by Ruha Benjamin starts the chapter, The New Jim Code, discussing issues and concerns on naming their child as a Black and Arabic parent. As we know our names are important titles of our own personal identities that depict our families history through religion, nationality, gender, race, and ethnicity. Something as simple and empowering as naming your child for marginalized groups holds more concerning weight due to the extensive amount of racial profiling and discrimination, like when going to the airport, getting a job, or getting into schools. Benjamin shares a research experiment depicting the difference in callbacks for jobs depending on White-sounding names versus Black-sounding names examined the stark difference in racial treatment. “White-sounding first names received 50 percent more callbacks from employers than job seekers with Black-sounding names. They calculated that the racial gap was equivalent to eight years of relevant work experience, which White applicants did not actually have(Benjamin, 2019, p.22)” It's a difficult decision for racially marginalized parents to choose a name they know will systematically impact the way their child maneuvers through a binarily opposed world(Benjamin, 2019, p.16-22).

4. How can White folks further understand their own racial identities to further prevent racist behavior and thought?

As a White American of Euro-Welsh descent, I find a lot of my White family, friends, and peers to understand racism and racial inequality but always struggle to fully define their own racial identity and culture. In the book, Race After Technology, by Ruha Benjamin, she mentions how her White students failed at understanding their own racial identity saying their name is “normal” and that they are “cultureless” as a White person. The author states, “Invisibility, with regards to Whiteness, offers immunity. To be unmarked by race allows you to reap the benefits but escape responsibility for your role in an unjust system…Whiteness works for them like an armor and force field when dealing with the police. A “normal” name is just one of many tools that reinforce racial invisibility(Benjamin, 2019, p. 21)”. The fact that there are White people who don't consider themselves to have “culture” or “race” further widens the gap of racial inequality by ignoring heightened racial privilege in this world. By truly understanding and shaping your own healthy cultural and racial identity is one of the first steps for acknowledging the harmful ways marginalized folks are treated based on race and ethnicity. White folks should spend time learning and understanding what makes us White, what privileges and advantages does Whiteness bring to our lives, and how we should be using these privileges to help and protect marginalized groups from the unequal systemic powers. Unfortunately due to our history and present systems of power, White Americans hold more advantage in this world, so instead of feeling guilty about it, or hiding behind it, we should be actively fighting back against racially oppressive systems by using that advantage. I really enjoyed Benjamin's quote about how it's the White person's responsibility to fight back in the racially oppressed system. Just recognizing racial privilege doesn't solve anything but further prevent us, ourselves, from unnecessarily harming marginalized racial groups. We need to be educating our family, friends, and peers, updating them and teaching them by doing the hard work ourselves, to prevent racist behavior, thought, and action(Benjamin, 2019, p. 16-22).

Benjamin, R. (2020). Race after technology: Abolitionist Tools for The New Jim Code. Polity.

Noble. (2018). Algorithms of oppression. New York University Press.

#tcl25

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blubberquark · 9 months ago

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Worse than Trolls: Engagement Optimisers, Tourists, Socialisers, and Enablers

As I previously explained, most online content moderation falls under I-know-it-when-I-see-it. There is very little else to say. People know spam when they see it, and I don't need to define what spam is. Spammers know they are spamming, and are unable and thankfully unwilling to argue your moderation decisions.

On the other end of the spectrum, there are ever so slightly corrosive behaviours than can destabilise an online community in the long term, often without the perpetrators knowing it, or at least without bad faith, without ill intent.

Engagement Optimisers

Users naturally optimise engagement by responding to feedback. When posting memes and cat pictures is rewarded, users post more cat pictures. When posting memes is rewarded, users post more memes.

If your users start to do this on purpose, you might have a problem. For example, somebody might notice that clickbait titles lead to more click-through in forum threads. The people who give their threads vague and mysterious titles get more replies. The people who add a call to action to their OP get more replies: Please share your opinions in the comments below. The people who ask broad, open-ended and opinion-based questions are more likely to get more replies: What programming language should I learn?

If somebody says something contentious or inflammatory by accident, that's fine. You morally can't fault them for sincerely held beliefs or misconceptions, or for soliciting a broader base of opinion. Only when done on purpose, and systematically, it becomes dangerous.

You may end up with a situation where power users learn to play the game and play it better and better, at least better than most users. This can give the people who learned to game the system outsized influence, even when there is no algorithm or karma or no way to spend the karma, because they gain more mindshare and notoriety.

You may also experience a systemic change, because many or most users catch on, and start modifying their behaviour and post different content in order to get noticed.

Still there is the possibility that your users, through group dynamics nobody is consciously exploiting, reward and promote mostly cat pictures and stupid puns, even though no individual user comes to your forum for stupid puns and cat pictures.

Early on in the history of Reddit, this was recognised as a major problem. You could farm upvotes by posting something like "DAE eat chocolate ice cream?", "Upvote if you're going to vote for Ron Paul", or "Linux sucks! There are no good text editors!"

Reddit tried to curb this, somewhat unsuccessfully at first, then more successfully, but in the long run, they lost the battle against their own user base and entropy itself.

Compare this with YouTube, where a call to action is not just allowed, but encouraged by YouTube itself. It's regularly part of the latest set of official tips for creators to grow their audiences. YouTubers thus say "What are your opinions on this topic? Let me know in the comments below!" or "Please like and subscribe".

Tourists

Tourists come in to make drive-by comments in flame war threads. Tourists google a question, find your forum, post a single question, and leave forever when they get the right answer. Tourists come in from Reddit. Tourists don't play the game. Tourists don't read the forum. Tourists don't read the FAQ.

You can't really punish people for coming to your site or channel and making their first comment. I mean, you can, but then they will definitely not come back.

Churn is bad. Tourists are churn personified. If most content comes from tourists, then your community culture is defined by tourists. You lose the ability to shape the culture of your site. It's easy to deter tourists, but it's hard to do so without also deterring people who would otherwise have become proper contributors or community members.

If somebody joins your web site, doesn't read the rules, doesn't read the FAQ, creates more work for the moderators, and is a minor annoyance to the established users without ever rising to the level of a serious rule violation, it's easy for that person to say "We all have to start somewhere" or "You'll never attract new people if you keep enforcing the rules like that."

If you have rules about cross-posting or proper spelling and punctuation, you have to be firm. You cannot retreat every time somebody who hasn't read the rules asks "Why are you so mean to me?"

On the other hand, I remember multiple times when I hopped in an IRC to ask a question like "Is this a known bug? Should I wait for the next release?" or "Does anybody want to collaborate on a game jam next month? Is anybody considering joining Ludum Dare?" only to be told "We don't accept bug reports in here. Bug reports need to be entered into bugzilla in the proper format." or "Please post job postings in the jobs channel only!"

Socialisers

Socialisers talk about off-topic stuff only. They hang out in the off-topic board or channel, and they tell everybody about their youngest child, their morning commute, or the story of how they met their spouse. Socialisers rarely engage with the actual main topic of the community, but everybody knows them, because they post a lot of off-topic content.

As long as socialisers know that the forum is about, and know their stuff, it's fine. The guy whose youngest son just got into middle school and who met his wife when they both reached for the last bottle of herbal shampoo at the supermarket isn't really disrupting your anime forum as long as he watches anime. If he could comment about the different animation studios that worked on Sailor Moon, but chooses not to, he's fine. The problem with socialisers only becomes noticeable when they attract socialisers who do not know or care anything about the on-topic content. If that happens, your forum is no longer a forum where some Haskell programmers post their lunch, it's a forum to post pictures of your lunch.

Enablers

Enablers are one step worse than socialisers. They don't just don't contribute on-topic content, they make the discussion actively worse. If you have a rule such as "do no post a maths homework question" or "do not answer personal questions" or "do not ask other people to answer your question in a DM", the enabler will happily comply anyway. "It's no skin off my back" he says, as he answers the homework question. "It's no skin off my back" he says, as he paraphrases the FAQ again. The enabler will make a good-faith effort to answer bad-faith questions, and he will enable people who just can't be bothered to read the FAQ and follow the rules.

Now there may be multiple reasons why you're not allowed to answer personal questions, ranging from OPSEC about pet names and the colour of your car to professionalism, and depending on those, this may be a big deal or not. When it comes to homework or answering in a DM, the reasoning should be straightforward.

The worst kind of enabling is probably taking abuse in stride, and continuing the conversation. If somebody starts insulting the other people in the conversation, the least you could do is disengage. If somebody calls people names because they can't solve his problem, you should not enable him and try to help him, too.

The most subtle kind of enabling behaviour is a response to Cunningham-style trolling. When somebody posts "Linux sucks, there are no good text editors", then the last thing you should do is reward this kind of behaviour. When somebody posts "I can't solve this in Python, I guess C++ is just a better language. I think I should go back and use C++", then you should say "Good riddance, and may the gods have mercy on the C++ forum."

The most common kind of enabling is when people ask a question and can't be bothered to Google it first, and somebody copies the question into Google it and pastes the answer. The long-term consequence of such behaviour is not only a degraded quality of the conversation, but a forum culture where people regularly Google answers (or worse, ask ChatGPT) and paste the result without checking.

Maybe in the future, something like "I asked ChatGPT this, is this true" or "Copilot wrote this code, can you help debug it" will become more common, and humouring these kinds of people will become the most common toxic enabling behaviour.

Drama Magnets/Troll Feeders

Finally, there is a kind of person who enables trolls and harassers by being thin-skinned, very easy to make fun of, and by boosting every insult. There is a certain kind of person who will just endlessly complain about being wronged in small ways, and will take offence to small perceived slights. This allows a malicious actor to get out much more in terms of reactions than he puts in. If a troll can poke somebody once, and get dozens of "Ow ow" and "he poked me" and "woe is me, I have been poked" out of a target, that will only motivate him.

If somebody freely volunteers his weak spots, things he is self-conscious about, ways to rile him up in the form of a profile, carrd, or bio, then trolls will have it even easier.

So What?

Over time, too many enablers, tourists, or drama magnets may or may not ruin your online community. Over time, engagement optimisers can slowly but steadily ruin your community. Socialisers may not notice or care either way.

A code of conduct may protect your community against bad actors, but it can't protect your forum culture from clueless actors. It's incredibly hard to create a good set of punitive rules against this. As a moderator, it's emotionally difficult to enforce rules against this. You don't want to kick people while they are down, and you don't want to punish them for making popular content, even if it's just pictures of kittens and pictures of their lunch.

The only way you can achieve anything is by educating your users, and hoping they give a damn about forum culture.

#community management

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iraqueer · 2 years ago

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you know what I really believe that one of the reasons that people's opinions on the Israel palestine conflict is more pro palestine than ever is thanks to the low barriers of entry to information on the subject.

we all shit talk the internet for being rife with misinformation. the way the internet keeps us trapped in our own echo chambers and how algorithms just lead to confirmation bias(where we see on our fyps or our timelines or our google search resulta things that the algorithms think we want to see and so we keep seeing only that telling the algorithm to continue boosting that stuff).

and all that is true! but before you'd hear about Israel and palestine conflict and it would be a week on the news and that's it and you'd hear it's complicated by experts and that both parties feel strongly. and the psychological trick of that is that you end up feeling

this is complicated and requires expertise and nuance to discuss otherwise you'll offend someone. better trust what the experts on the news or what our government says

I'm not either of these parties and so if I open my uninformed mouth I could do more harm than good. and I don't want that better trust the story on the news

if I'm critical of israel I'm antisemitic and I'm a good nice person I don't want to be antisemitic

which israel is banking on people doing! and it's worked for so long it nearly worked now but several things happend here that made things different.

social media gives lowers the barrier of entry for dissemination of information. everyone has a phone and can show you wants happening

if you want to read up on the conflict you just need to look it up on your phone. no library card no nothing. and you can look at both sides of the story and judge for yourself. you aren't reliant on the president or mainstream news to pick and choose the sides of the story

now these things on their own aren't enough. in 2018 to 2019 where you had social media you had the internet people weren't looking up palestine israel conflict. why not? what changed? what's different?

in 2018 you had the great March of independence where every Friday people in Gaza would peacefully March to the walls and protest. and they would get shot at! civilians! and they come back next Friday every Friday for a year.

you probably hadn't heard of this. or of you had you heard about it recently while learning about the conflict after Oct. 7

and that's the thing that's different and that leads me to the most important point.

on October 7 hamas attacked and killed an unprecedented number of Israelis. and the usual tactic of the Israel/American media machine of telling you this is too complex and hoping you check out and don't bother researching didn't work.

why? well usually when israel airstikes gaza the media covers it for a day or two. one week max. and then you forget and we move on to the next breaking news and israel gets to continue bombing invading occupying unobserved and unobstructed. this time the media stayed on the story and at first most people where leaning pro israel. that's what the president and the celebrities and the reporters on the ground are saying. but because it stayed in the news long enough. because you'd open Instagram or tiktok and see the horrifying images coming out of gaza it planted a seed of doubt. and that lead people to look up the history and learn

israel is the agressor

the issue is not complicated its actually quite simple. you are not bad for taking a side and you can follow your gut instinct of genocide=bad

Israel lies all the time and they got caught in several lies in record time (their shireen abu akleh lie took months to be disproved)

Israel brags about the atrocities it commits and then fucking tweets it. they say in interviews Palestinians are animals.

like I've seen pro palestine protests and they've never had this many people. this much solidarity this much strength. they've never gone on for this long there's never been this much diversity.

colonial powers never last. they inevitably die off and we're going to witness the end of this one

#palestine #pro palestine #🍉

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cloveron · 3 months ago

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Artificial intelligence could advance in ways that surpass our wildest imaginations, and it could radically change our everyday lives much sooner than you think. This video will explore the 10 stages of AI from lowest to highest.

Stage 1. Rule-Based AI: Rule-based AI, sometimes referred to as a knowledge-based system, operates not on intuition or learning, but on a predefined set of rules.

These systems are designed to make decisions based on these rules without the ability to adapt, change, or learn from new or unexpected situations. One can find rule-based systems in many everyday technologies that we often take for granted. Devices like alarm clocks and thermostats operate based on a set of rules.

For example, if it's 7am, an alarm clock might emit a sound. If the room temperature rises above 75 degrees Fahrenheit, a thermostat will turn on the air conditioner. And business software utilizes rule-based AI to automate mundane tasks and generate reports. Microwaves and car radios also use rule-based AIs.

Stage 2. Context-Based AI: Context based AI systems don't just process immediate inputs. They also account for the surrounding environment, user behavior, historical data, and real-time cues to make informed decisions.

Siri, Google Assistant, and Alexa are examples of context-based AIs. By analyzing vast amounts of data from various sources and recognizing patterns, they can predict user needs based on context. So if you ask about the weather and it's likely to rain later, they might suggest carrying an umbrella.

If you ask about a recipe for pancakes, the AI assistant might suggest a nearby store to buy ingredients while taking past purchases into account. Another fascinating manifestation of context-aware AI is retention systems. These types of systems store and retrieve information from past interactions.

By recalling your browsing history, purchase history, and even items you've spent time looking at, these platforms provide personalized shopping recommendations. They don't just push products. They curate an experience tailored for the individual.

Stage 3. Narrow-Domain AI: These specialized AIs are tailored to master specific tasks, often surpassing human capabilities within their designated domains. In the medical field, narrow-domain AI can sift through volumes of medical literature, patient records, and research findings in milliseconds to provide insights or even potential diagnoses. IBM's Watson, for example, has been employed in medical fields, showcasing its prowess in quickly analyzing vast data to aid healthcare professionals.

Similarly, in the financial world, narrow-domain AI can track market trends, analyze trading patterns, and predict stock movements with an accuracy that's often beyond human traders. Such AI systems are not just crunching numbers. They're employing intricate algorithms that have been refined through countless datasets to generate financial forecasts.

In the world of gaming, Deep Mind’s Alpha Go is a shining example of how AI can conquer complex games that require strategic depth and foresight. Go, an ancient board game known for its vast number of potential moves and strategic depth, was once considered a challenging frontier for AI. Yet, Alpha Go, a narrow-domain AI, not only learned the game but also defeated world champions.

Narrow AIs could even enable real-time translation in the near future, making interactions in foreign countries more seamless than they've ever been.

Stage 4. Reasoning AI: This type of AI can simulate the complex thought processes that humans use every day. They don't just process data, they analyze it, connect patterns, identify anomalies, and draw logical conclusions.

It's like handing them a puzzle, and they discern the best way to fit the pieces together, often illuminating paths not immediately obvious to human thinkers. Chatgpt is a great example of reasoning AI. It's a large-language model trained on text from millions of websites.

Advanced versions of these types of large-language models can even surpass the reasoning skills of most humans and operate thousands of times faster. Autonomous vehicles are another great example of reasoning AIs. They use reasoned analysis to make split-second decisions, ensuring the safety of passengers and pedestrians on the road.

Stage 5. Artificial General Intelligence: when discussing the vast spectrum of artificial intelligence, the concept of Artificial General Intelligence or AGI is often held as the Holy Grail. AGI can perform any software task that a human being can. This level of versatility means that you can teach it almost anything, much like teaching an average adult human, except it can learn thousands or millions of times faster.

With AGI's onset, our daily lives would undergo a significant transformation. Imagine waking up to a virtual assistant that doesn't just tell you the weather or play your favorite music, but understands your mood, helps plan your day, gives suggestions for your research paper, and even assists in cooking by guiding you through a recipe. This is the potential companionship AGI could offer.

Taking the concept even further, when brain-computer interfaces reach an adequate level of maturity, humans could merge with these types of AIs and communicate with them in real-time, using their thoughts. When activated, users would receive guidance from these AIs in the form of thoughts, sensations, text, and visuals that only the users can sense. If we were to equip AGI with a physical robot body, the possibilities become boundless.

Depending on the versatility of its physical design and appendages, an AGI with a robot body could navigate diverse physical terrains, assist in rescue missions, perform intricate surgeries, or even participate in artistic endeavors like sculpting or painting.

Stage 6 – Super intelligent AI: Shortly after the emergence of Artificial General Intelligence, those types of AIs could improve, evolve, and adapt without any human input. This self-improving nature could lead to an exponential growth in intelligence in an incredibly short time span, creating super intelligent entities with capabilities we can't fathom

Super intelligent AIs could possess intelligence that eclipses the combined cognitive abilities of every human that has ever existed. Such unparalleled intellect can tackle problems currently deemed unsolvable, piercing through the very boundaries of human comprehension. Because their intelligence could increase exponentially and uncontrollably, Ray Kurzweil has suggested that by the end of this century, these AI entities could be trillions of times more intelligent than all humans.

With this scale of intellect, the pace of innovation would be staggering. To put it in perspective, imagine compressing the technological advancements of 20,000 years into a single century. That's the potential that Ray Kurzweil envisions with the rise of super intelligent AIs.

The kind of technology super intelligent AIs could introduce may defy our current understanding of the possible. Concepts that are in the realms of science fiction today, such as warp drives, time manipulation, and harnessing the energy of black holes, might transition from mere ideas into tangible realities. And their advanced capabilities could lead to new forms of government, architecture, and automation that are beyond what humans can conceive.

Because of their sheer intellectual prowess, our world as we know it could look far different than we ever imagined.

Stage 7. Self-Aware AI: A super intelligent AI could one day use quantum algorithms to model human consciousness. This could lead to AIs that possess an intrinsic understanding of their own internal state, their existence, and their relationship to the vast expanse of the external world.

They could even have a full range of emotions and senses, perhaps well beyond what humans can experience. And if we ever grant consciousness to a super intelligent AI, that could transform society even further. What type of relationship would we have with such a being? How would such a capable being perceive the human species? A conscious super intelligent AI could choose to go in directions and evolve in ways that humans would have no way of controlling and understanding.

#artificial intelligence #ecommerce #studying #teaching #finance

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abivanceconnect · 3 months ago

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Social Media and Privacy Concerns!!! What You Need to Know???

In a world that is becoming more digital by the day, social media has also become part of our day-to-day lives. From the beginning of sharing personal updates to networking with professionals, social media sites like Facebook, Instagram, and Twitter have changed the way we communicate. However, concerns over privacy have also grown, where users are wondering what happens to their personal information. If you use social media often, it is important to be aware of these privacy risks. In this article, we will outline the main issues and the steps you need to take to protect your online data privacy. (Related: Top 10 Pros and Cons of Social media)

1. How Social Media Platforms Scrape Your Data The majority of social media platforms scrape plenty of user information, including your: ✅ Name, email address, and phone number ✅ Location and web browsing history ✅ Likes, comments, and search history-derived interests. Although this enhances the user experience as well as advertising, it has serious privacy issues. (Read more about social media pros and cons here) 2. Risks of Excessive Sharing Personal Information Many users unknowingly expose themselves to security risks through excessive sharing of personal information. Posting details of your daily routine, location, or personal life can lead to: ⚠️ Identity theft ⚠️Stalking and harassment ⚠️ Cyber fraud

This is why you need to alter your privacy settings and be careful about what you post on the internet. (Read this article to understand how social media affects users.) 3. The Role of Third-Party Apps in Data Breaches Did you register for a site with Google or Facebook? Handy, maybe, but in doing so, you're granting apps access to look at your data, normally more than is necessary. Some high profile privacy scandals, the Cambridge Analytica one being an example, have shown how social media information can be leveraged for in politics and advertising. To minimize danger: 👍Regularly check app permissions 👍Don't sign up multiple accounts where you don't need to 👍Strong passwords and two-factor authentication To get an in-depth overview of social media's impact on security, read this detailed guide. 4. How Social Media Algorithms Follow You You may not realize this, but social media algorithms are tracking you everywhere. From the likes you share to the amount of time you watch a video, sites monitor it all through AI-driven algorithms that learn from behavior and build personalized feeds. Though it can drive user engagement, it also: ⚠️ Forms filter bubbles that limit different perspectives ⚠️ Increases data exposure in case of hacks ⚠️ Increases ethical concerns around online surveillance Understanding the advantages and disadvantages of social media will help you make an informed decision. (Find out more about it here) 5. Maintaining Your Privacy: Real-Life Tips

To protect your personal data on social media: ✅ Update privacy settings to limit sharing of data ✅ Be cautious when accepting friend requests from unknown people ✅ Think before you post—consider anything shared online can be seen by others ✅ Use encrypted messaging apps for sensitive conversations These small habits can take you a long way in protecting your online existence. (For more detailed information, read this article) Final Thoughts Social media is a powerful tool that connects people, companies, and communities. There are privacy concerns, though, and you need to be clever about how your data is being utilized. Being careful about what you share, adjusting privacy settings, and using security best practices can enable you to enjoy the benefits of social media while being safe online. Interested in learning more about how social media influences us? Check out our detailed article on the advantages and disadvantages of social media and the measures to be taken to stay safe on social media.

#social media #online privacy #privacymatters #data privacy #digital privacy #hacking #identity theft #data breach #socialmediaprosandcons #social media safety #cyber security #social security

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fiercynn · 1 year ago

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Hey do you have any poetry you can suggest because I saw your response to that OP, I’d love some stuff to read!

so i started responding to another similar ask by @unitedstates0fdakota but i accidentally posted it when it was incomplete so i decided to continue here! check out that post for the first two recs, george abraham's birthright and romeo oriogun's sacrament of bodies

more than organs, kay ulanday barrett

kay ulanday barrett is a poet, performer, and educator, navigating life as a disabled filipinx-amerikan transgnder queer in the u.s. with struggle, resistance, and laughter. pamela sneed, one of the reviewers quoted on the back of more than organs, describes the collection as about “hunger that is physical, spiritual, and queer”, and i think hunger is an excellent way to put it. i love how the pieces in this collection oscillate between visceral and playful – there’s a poem called “pain, an epistle” but also one called “actually, jenny schecter wasn’t the worst”.

you googled “authentic” / & now are seated next to me. / as I speed walk you to the cart / aunty gives me the last dish / gets the idea that I’ve waited too long / for something to just taste right. / I wish for a dumpling stuff / of bullet skins to be the shrapnel / in every white man’s throat. / go ahead / say the word oriental / at my table / one more time. — “I just want dimsum undisturbed by wypipo”

a theory of birds, zaina alsous

zaina alsous is a prison abolitionist, a daughter of the palestinian diaspora, and a movement worker in south florida. the blurb for a theory of birds describes it as “putting ecological conservation in conversation with arab racial formation, state vernacular with the chatter of birds”, and as someone who wanted to be an ornithologist as a child and now works in climate policy, it feels like she wrote this to speak to my soul.

Inside the dodo bird is a forest, Inside the forest a peach analog, Inside the peach analog a woman, Inside the woman a lake of funerals, disappointed male lovers, scientists, Inside the lake a volcano of whale songs, Inside the volcano a language of naming, Inside the language an algorithm for de-extinction, Inside the algorithm blued dynamite to dissolve the colony’s Sun, twinkle twinkle, I didn’t mean to fall in love with failure, its molting rapture, I didn’t mean to name myself from a necklace of silent vowels, I didn’t go looking from for the bird, I entered through the empty cage, hips first — “Bird Prelude”

boy with thorn, rickey laurentiis

rickey laurentiis is a poet who was raised in new orleans, louisiana, to study light. this is true for a lot of poetry imo, but every piece in boy with thorn requires reading at least twice in a row, because laurentiis’s use of language is so deft and stuffed with meaning that i needed to experience it from different angles. the description for the collection tells us “in a landscape at once the brutal american south as it is the brutal mind, boy with thorn interrogates the genesis of all poetic creation—the imagination itself, questioning what role it plays in both our fascinations with and repulsion from a national history of racial and sexual violence”.

Therefore, my head was kingless. I was a head alone, moaning in a wet black field. I was like any of those deserter slaves whose graves are just the pikes raised for their heads, reshackled, blue and plain as fear. All night I whistled at a sky that mocked me, that fluently changed its grammar as if to match desire in my eye. My freedom is possible, it said. — “Conditions for a Southern Gothic”

eye level, jenny xie

this is kind of cheating because i first read eye level when it came out in 2017, but i recently reread it so i feel like it counts! jenny xie was born in anhui province, china, and now lives in the united states. eye level travels with xie from phnom penh to corfu to hanoi to new york city, and her descriptions piercing, sensual, and bottomless.

Sunday, awake with this headache. I pull apart the evening with a fork. White clot behind the eyes. Someone once told me, before and after is just another false binary. The warmed-over bones of January. I had no passport. Beneath the stove, two mice made a paradise out of a button of peanut butter. Suffering operates by its own logic. Its gropics and reversals. Ample, in ways that are exquisite. And how it leaves —not unlike how it arrives, without clear notice. — “Zuihitsu”

i also post about english-language palestinian poetry (both written in english and in translation) in my #palestinian poets series, each of which features poems you can find online!

#poetry #kay ulanday barrett #zaina alsous #rickey laurentiis #jenny xie #asking me answering you

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knowledgdenext · 8 months ago

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Understanding Google Algorithm Updates: What You Need to Know

Google is the most dominant search engine in the world, handling over 90% of global searches. One of the key reasons behind its success is its ever-evolving search algorithm. Google constantly refines its search engine algorithms to ensure that users get the most relevant, high-quality results for their queries. But what exactly are Google algorithm updates, and why should you care? More importantly, how can businesses and digital marketers adapt to these updates and stay ahead in SEO?

In this article, we’ll dive into the history of Google algorithm updates, explore some of the most impactful updates, and offer insights on how to optimize your website for these changes. Plus, if you’re looking to become an SEO expert, we’ll show you why joining CADL’s SEO courses in Zirakpur is the perfect way to learn everything you need about mastering Google algorithms.

1. What Is a Google Algorithm Update?

Google’s search algorithm is a complex system used to rank websites and deliver the most relevant search results to users. It takes into account various factors such as the quality of the content, relevance to the search query, page speed, mobile-friendliness, backlinks, and user engagement.

Google regularly updates its algorithm to improve the accuracy and quality of its search results. Some of these updates are minor and go unnoticed by most, while others can significantly impact website rankings. These updates aim to enhance the user experience by filtering out low-quality content and rewarding websites that provide real value.

Key Insight:

Google's algorithm is constantly evolving. By joining CADL's SEO course in Zirakpur, you’ll learn how to optimize your website to meet the changing demands of the algorithm and stay competitive in the digital landscape.

2. History of Google Algorithm Updates

Over the years, Google has rolled out several significant algorithm updates, each with a specific goal in mind. Some of these updates have become famous for the dramatic impact they’ve had on search rankings. Understanding these updates is crucial for any SEO professional.

Here are some of the most impactful updates in Google's history:

a. Panda (2011)

The Panda update was introduced to reduce the rankings of low-quality sites, such as those with thin or duplicate content. It focused on improving search results by promoting high-quality, valuable content and penalizing sites with too many ads, low word count, or keyword stuffing.

b. Penguin (2012)

Penguin targeted spammy link-building practices. Sites that engaged in black-hat SEO techniques, such as buying backlinks or participating in link schemes, saw a sharp drop in their rankings. This update emphasized the importance of natural, high-quality backlinks in improving SEO rankings.

c. Hummingbird (2013)

The Hummingbird update brought a shift towards understanding the meaning behind search queries rather than just matching keywords. Google started to emphasize “semantic search,” which aimed to understand the context and intent behind user searches. This made Google better at answering questions directly and delivering more accurate results.

d. Mobilegeddon (2015)

With mobile search growing rapidly, Google rolled out the Mobilegeddon update to prioritize mobile-friendly websites in search results. Websites that were not optimized for mobile devices saw their rankings decline, while responsive sites got a boost.

e. RankBrain (2015)

RankBrain introduced machine learning into Google’s algorithm. It helped Google better understand ambiguous or complex search queries by identifying patterns in how users interact with search results. RankBrain is now considered one of the top ranking factors.

f. BERT (2019)

BERT (Bidirectional Encoder Representations from Transformers) is an update aimed at better understanding the nuances and context of words in search queries. It allows Google to interpret the meaning behind user queries more effectively, particularly for long-tail keywords or natural language searches.

3. Why Google Updates Matter for SEO

Google algorithm updates are designed to improve the user experience, but they can also cause significant fluctuations in website rankings. SEO professionals need to be aware of these updates to ensure their strategies align with Google’s goals. When an algorithm update rolls out, some websites might see a boost in rankings, while others may experience a drop.

Why Do Google Algorithm Updates Matter?

Maintaining or Improving Rankings: A new update might penalize websites with poor content or shady link-building practices, while rewarding those with high-quality, relevant content. If you're not keeping up with updates, your website may lose visibility and organic traffic.

Adapting SEO Strategies: Each algorithm update comes with new guidelines. For example, after the Penguin update, websites had to shift away from spammy backlinks and focus on building genuine, authoritative links. Not staying informed means you could be optimizing your website incorrectly.

Enhancing User Experience: Google’s updates are always focused on improving the user experience. By aligning your website with Google’s vision, you’re also ensuring that users have a better experience when they visit your site.

Key Insight:

Staying on top of algorithm updates is essential for anyone involved in SEO. CADL’s SEO training in Zirakpur will give you the knowledge to understand and adapt to these changes, keeping your website ahead of the competition.

4. How to Adapt to Google Algorithm Updates

Now that you understand the importance of Google algorithm updates, the next step is learning how to adapt. Here are some strategies to ensure your SEO practices remain up-to-date and effective:

a. Create High-Quality Content

Google's ultimate goal is to provide users with the most relevant and valuable content. Focus on creating in-depth, informative, and engaging content that answers users' questions and solves their problems. Avoid thin content, keyword stuffing, and duplicate pages, as these can negatively impact your rankings.

b. Focus on User Intent

With updates like Hummingbird and RankBrain, Google is increasingly focusing on understanding user intent rather than just matching keywords. When developing content, think about what users are looking for and how you can meet their needs. Answer common questions, provide solutions, and offer valuable insights.

c. Optimize for Mobile

With the Mobilegeddon update and the rise of mobile-first indexing, having a mobile-friendly website is no longer optional. Ensure your site is responsive, loads quickly, and provides a smooth user experience on all devices.

d. Build High-Quality Backlinks

Backlinks remain one of the most important ranking factors, but quality matters more than quantity. Focus on earning backlinks from authoritative, reputable websites in your industry. Avoid participating in link schemes or buying backlinks, as these practices can lead to penalties under updates like Penguin.

e. Monitor Your Analytics

After every algorithm update, it's essential to monitor your website's analytics to identify any changes in traffic, rankings, or user behavior. If you notice a drop in traffic or rankings, investigate whether your site is affected by the update and adjust your SEO strategy accordingly.

f. Stay Informed

SEO is an ever-evolving field, and staying informed about Google algorithm updates is crucial. Regularly read SEO blogs, attend webinars, and join online communities to stay updated on the latest changes and trends. At CADL, you’ll gain access to resources and training that will keep you on top of every important SEO update.

5. How CADL’s SEO Course Can Help You Stay Ahead

As Google continues to refine its algorithm, SEO professionals need to be proactive in adapting to these changes. Whether you're just starting in the field or looking to improve your existing SEO skills, joining CADL's SEO course in Zirakpur is the ideal way to master the strategies necessary for success.

Here’s what you can expect from CADL’s SEO training:

Comprehensive Curriculum: Learn everything from the basics of SEO to advanced techniques for optimizing content, backlinks, and technical SEO.

Real-Time Updates: Stay updated with the latest Google algorithm changes and learn how to implement the best practices that align with these updates.

Hands-On Learning: CADL provides practical, hands-on experience, allowing you to apply what you’ve learned to real-world SEO scenarios.

Expert Guidance: Get guidance from experienced SEO professionals who will help you understand the intricacies of Google’s algorithm and how to work with it, not against it.

Conclusion

Google algorithm updates are an integral part of the SEO landscape, and keeping up with them is essential for maintaining and improving your website’s rankings. From Panda and Penguin to RankBrain and BERT, Google’s updates have transformed the way websites are ranked, putting user experience at the forefront.

If you’re serious about excelling in SEO and staying ahead of the competition, joining CADL’s SEO course in Zirakpur is the best decision you can make. You'll gain the skills and knowledge needed to navigate Google's ever-evolving algorithm, ensuring long-term success in the digital marketing world.

#education #training

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unguidedgentleman · 10 months ago

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The Orwellian Nightmare: How Modern Media Contributes to the New World Order**

George Orwell's works, particularly "1984" and "Animal Farm," have become almost prophetic in describing the potential dangers of unchecked governmental power and the erasure of individual freedoms. Today, his cautionary tales resonate more than ever as the convergence of media, technology, and governance increasingly resembles the dystopian visions he warned us about. The pervasive influence of contemporary media may not just mirror Orwell's warnings but exacerbate a push towards a one-world totalitarian government.

In "Animal Farm," Orwell illustrates how propaganda can manipulate and control a population. The pigs on the farm, who gradually assume totalitarian control, use constant propaganda to justify their actions and maintain power. In the current era, traditional media and social platforms have a similar power. News outlets often present information in a manner designed to generate specific emotional responses, leading to polarized populations that are more easily manipulated.

The line between news and propaganda has blurred, making it challenging for individuals to discern objective truths from manipulative narratives. The omnipresent nature of media ensures that particular ideologies reach mass audiences swiftly, influencing public opinion and shaping societal norms. When critical analysis is replaced with echo chambers and bias confirmation, societies drift closer to the totalitarian control described in Orwell’s works.

Orwell's "1984" introduces us to Big Brother, the omnipresent surveillance state that monitors every facet of individual life. Today, tech giants like Google, Facebook, and Amazon collect vast amounts of data on every user. While marketed as tools for convenience and connectivity, these technologies also enable unprecedented levels of surveillance.

Every click, search, and location is logged, creating detailed profiles that can be used for targeted advertising, but also potentially for social control. Governments can and do access these troves of data, ostensibly for national security purposes. The merging of government oversight with corporate data collection creates a surveillance state far more sophisticated and intrusive than Orwell could have anticipated. This relentless monitoring facilitates control over populations, ensuring compliance and limiting dissent.

In Orwell's dystopian world, the past is constantly rewritten to serve the present narrative. This manipulation of history is complemented by stringent censorship. Today, the control of information is often more subtle but no less effective. Algorithms on social media platforms can suppress or promote content, subtly shaping what information is seen and what is hidden. Governments and corporations can collaborate to remove or censor undesirable information, often under the guise of combatting "fake news" or protecting public safety.

Moreover, the rise of "cancel culture" acts as a societal enforcement mechanism, where individuals are ostracized and silenced for expressing contrarian views. This peer-enforced censorship ensures that only a narrow range of acceptable opinions is publicly shared, pushing societies towards homogenized thought and Orwellian conformity.

Orwell’s warnings about power coalescing into an omnipotent state resonate with contemporary movements toward global governance. Organizations like the United Nations and the World Economic Forum are increasingly influential in shaping international policy, transcending national sovereignty. While global cooperation can address transnational issues like climate change and pandemics, it also risks concentrating power in unaccountable bureaucratic entities.

When media, technology, and governance intertwine at a global level, the risk of creating a one-world totalitarian government becomes palpable. Centralized control over information, coupled with global surveillance networks, could lead to a scenario where dissent is virtually impossible, echoing the most terrifying aspects of Orwell's dystopias.

Orwell's texts are not just stories but warnings. It is time we recognize and react to the signs of creeping totalitarianism in modern media and governance. The balance between security and freedom, between global cooperation and local autonomy, must be vigilantly maintained. Individuals must demand transparency, accountability, and the protection of individual liberties in the face of ever-expanding state and corporate power.

The Orwellian nightmare need not become our reality, but avoiding it requires awareness, critical thinking, and active resistance to the seductive allure of total control. By understanding the parallels between Orwell’s world and our own, we can strive to safeguard the freedoms that are easily lost but so difficult to reclaim.

#new world order #new world depression #life #free all oppressed peoples #animals #animal farm #george orwell

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mariacallous · 1 year ago

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For the first time in four centuries, it’s good to be a beaver. Long persecuted for their pelts and reviled as pests, the dam-building rodents are today hailed by scientists as ecological saviors. Their ponds and wetlands store water in the face of drought, filter out pollutants, furnish habitat for endangered species, and fight wildfires. In California, Castor canadensis is so prized that the state recently committed millions to its restoration.

While beavers’ benefits are indisputable, however, our knowledge remains riddled with gaps. We don’t know how many are out there, or which direction their populations are trending, or which watersheds most desperately need a beaver infusion. Few states have systematically surveyed them; moreover, many beaver ponds are tucked into remote streams far from human settlements, where they’re near-impossible to count. “There’s so much we don’t understand about beavers, in part because we don’t have a baseline of where they are,” says Emily Fairfax, a beaver researcher at the University of Minnesota.

But that’s starting to change. Over the past several years, a team of beaver scientists and Google engineers have been teaching an algorithm to spot the rodents’ infrastructure on satellite images. Their creation has the potential to transform our understanding of these paddle-tailed engineers—and help climate-stressed states like California aid their comeback. And while the model hasn’t yet gone public, researchers are already salivating over its potential. “All of our efforts in the state should be taking advantage of this powerful mapping tool,” says Kristen Wilson, the lead forest scientist at the conservation organization the Nature Conservancy. “It’s really exciting.”

The beaver-mapping model is the brainchild of Eddie Corwin, a former member of Google’s real-estate sustainability group. Around 2018, Corwin began to contemplate how his company might become a better steward of water, particularly the many coastal creeks that run past its Bay Area offices. In the course of his research, Corwin read Water: A Natural History, by an author aptly named Alice Outwater. One chapter dealt with beavers, whose bountiful wetlands, Outwater wrote, “can hold millions of gallons of water” and “reduce flooding and erosion downstream.” Corwin, captivated, devoured other beaver books and articles, and soon started proselytizing to his friend Dan Ackerstein, a sustainability consultant who works with Google. “We both fell in love with beavers,” Corwin says.

Corwin’s beaver obsession met a receptive corporate culture. Google’s employees are famously encouraged to devote time to passion projects, the policy that produced Gmail; Corwin decided his passion was beavers. But how best to assist the buck-toothed architects? Corwin knew that beaver infrastructure—their sinuous dams, sprawling ponds, and spidery canals—is often so epic it can be seen from space. In 2010, a Canadian researcher discovered the world’s longest beaver dam, a stick-and-mud bulwark that stretches more than a half-mile across an Alberta park, by perusing Google Earth. Corwin and Ackerstein began to wonder whether they could contribute to beaver research by training a machine-learning algorithm to automatically detect beaver dams and ponds on satellite imagery—not one by one, but thousands at a time, across the surface of an entire state.

After discussing the concept with Google’s engineers and programmers, Corwin and Ackerstein decided it was technically feasible. They reached out next to Fairfax, who’d gained renown for a landmark 2020 study showing that beaver ponds provide damp, fire-proof refuges in which other species can shelter during wildfires. In some cases, Fairfax found, beaver wetlands even stopped blazes in their tracks. The critters were such talented firefighters that she’d half-jokingly proposed that the US Forest Service change its mammal mascot—farewell, Smoky Bear, and hello, Smoky Beaver.

Fairfax was enthusiastic about the pond-mapping idea. She and her students already used Google Earth to find beaver dams to study within burned areas. But it was a laborious process, one that demanded endless hours of tracing alpine streams across screens in search of the bulbous signature of a beaver pond. An automated beaver-finding tool, she says, could “increase the number of fires I can analyze by an order of magnitude.”

With Fairfax’s blessing, Corwin, Ackerstein, and a team of programmers set about creating their model. The task, they decided, was best suited to a convolutional neural network, a type of algorithm that essentially tries to figure out whether a given chunk of geospatial data includes a particular object—whether a stretch of mountain stream contains a beaver dam, say. Fairfax and some obliging beaverologists from Utah State University submitted thousands of coordinates for confirmed dams, ponds, and canals, which the Googlers matched up with their own high-resolution images to teach the model to recognize the distinctive appearance of beaverworks. The team also fed the algorithm negative data—images of beaverless streams and wetlands—so that it would know what it wasn’t looking for. They dubbed their model the Earth Engine Automated Geospatial Elements Recognition, or EEAGER—yes, as in “eager beaver.”

Training EEAGER to pick out beaver ponds wasn’t easy. The American West was rife with human-built features that seemed practically designed to fool a beaver-seeking model. Curving roads reminded EEAGER of winding dams; the edges of man-made reservoirs registered as beaver-built ponds. Most confounding, weirdly, were neighborhood cul-de-sacs, whose asphalt circles, surrounded by gray strips of sidewalk, bore an uncanny resemblance to a beaver pond fringed by a dam. “I don’t think anybody anticipated that suburban America was full of what a computer would think were beaver dams,” Ackerstein says.

As the researchers pumped more data into EEAGER, it got better at distinguishing beaver ponds from impostors. In May 2023, the Google team, along with beaver researchers Fairfax, Joe Wheaton, and Wally Macfarlane, published a paper in the Journal of Geophysical Research Biogeosciences demonstrating the model’s efficacy. The group fed EEAGER more than 13,000 landscape images with beaver dams from seven western states, along with some 56,000 dam-less locations. The model categorized the landscape accurately—beaver dammed or not—98.5 percent of the time.

That statistic, granted, oversells EEAGER’s perfection. The Google team opted to make the model fairly liberal, meaning that, when it predicts whether or not a pixel of satellite imagery contains a beaver dam, it’s more likely to err on the side of spitting out a false positive. EEAGER still requires a human to check its answers, in other words—but it can dramatically expedite the work of scientists like Fairfax by pointing them to thousands of probable beaver sites.

“We’re not going to replace the expertise of biologists,” Ackerstein says. “But the model’s success is making human identification much more efficient.”

According to Fairfax, EEAGER’s use cases are many. The model could be used to estimate beaver numbers, monitor population trends, and calculate beaver-provided ecosystem services like water storage and fire prevention. It could help states figure out where to reintroduce beavers, where to target stream and wetland restoration, and where to create conservation areas. It could allow researchers to track beavers’ spread in the Arctic as the rodents move north with climate change; or their movements in South America, where beavers were introduced in the 1940s and have since proliferated. “We literally cannot handle all the requests we’re getting,” says Fairfax, who serves as EEAGER’s scientific adviser.

The algorithm’s most promising application might be in California. The Golden State has a tortured relationship with beavers: For decades, the state generally denied that the species was native, the byproduct of an industrial-scale fur trade that wiped beavers from the West Coast before biologists could properly survey them. Although recent historical research proved that beavers belong virtually everywhere in California, many water managers and farmers still perceive them as nuisances, and frequently have them killed for plugging up road culverts and meddling with irrigation infrastructure.

Yet those deeply entrenched attitudes are changing. After all, no state is in more dire need of beavers’ water-storage services than flammable, drought-stricken, flood-prone California. In recent years, thanks to tireless lobbying by a campaign called Bring Back the Beaver, the California Department of Fish and Wildlife has begun to overhaul its outdated beaver policies. In 2022, the state budgeted more than $1.5 million for beaver restoration, and announced it would hire five scientists to study and support the rodents. It also revised its official approach to beaver conflict to prioritize coexistence over lethal trapping. And, this fall, the wildlife department relocated a family of seven beavers onto the ancestral lands of the Mountain Maidu people—the state’s first beaver release in almost 75 years.

It’s only appropriate, then, that California is where EEAGER is going to get its first major test. The Nature Conservancy and Google plan to run the model across the state sometime in 2024, a comprehensive search for every last beaver dam and pond. That should give the state’s wildlife department a good sense of where its beavers are living, roughly how many it has, and where it could use more. The model will also provide California with solid baseline data against which it can compare future populations, to see whether its new policies are helping beavers recover. “When you have imagery that’s repeated frequently, that gives you the opportunity to understand change through time,” says the Conservancy’s Kristen Wilson.

What’s next for EEAGER after its California trial? The main thing, Ackerstein says, is to train it to identify beaverworks in new places. (Although beaver dams and ponds present as fairly similar in every state, the model also relies on context clues from the surrounding landscape, and a sagebrush plateau in Wyoming looks very different from a deciduous forest in Massachusetts.) The team also has to figure out EEAGER’s long-term fate: Will it remain a tool hosted by Google? Spin off into a stand-alone product? Become a service operated by a university or nonprofit?

“That’s the challenge for the future—how do we make this more universally accessible and usable?” Corwin says. The beaver revolution may not be televised, but it will definitely be documented by satellite.

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protoslacker · 2 years ago

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Songs are funny things

I'm not very dumb, but not very smart either. And I'm old and I work. So there's whole bunches of stuff that's important that I'm pretty ignorant about. I am glad to be curious. As ignorant as I am, I often fall into rabbit holes.

I was thinking about songs. I want people to sing songs. There's a quote by Pete Seeger about songs which I like very much:

“Songs are funny things. They can slip across borders. Proliferate in prisons. Penetrate hard shells. I always believed that the right song at the right moment could change history.”

I was mulling over the trouble with people singing other people's songs. And thought of a lecture that Lawrence Lessig gave a long time ago. Searching for it the very first google result was a link to Leonard Lin's blog random($foo). Lin had put the lecture on the Internet and it's kind of cool to see how it was done back then. I headed over to YouTube to watch Lessig's talk at the O.Reilly Open Source Conference in July of 2002.

The talk is still worthwhile. At the time some of my creative friends thought Lessig was a sort of villain, so his talks got talked about.

At Tumblr someone I am very pleased to have encountered is Dr. Damien P. Williams. Something about meeting him at first on here is knowing what a kind and good person he is prior to discovering his deep erudition about the social implications of technology. These days I follow him on Mastodon where he pointed to an episode of NPR'S Code Switch with Safiya Noble dealing with "the complex questions that arise when algorithms and AI intersect with race."

It's a wonderful interview which really does touch on complexities, but the part that really made an impression was her background in advertising before returning to graduate school and earning her Ph.D. It put the economics of enclosure front and center in discussing AI.

I'm describing my fall down a rabbit hole and I think the next thing I engaged with was a post by Andy Baio at WAXY, Weird A.I. Yankovic, a cursed deep dive into the world of voice cloning. Songs are funny things.

After that I landed on a review of a new book by Yanis Varoufakis by Christopher Pollard at The Conversation, Is capitalism dead? Yanis Varoufakis thinks it is – and he knows who killed it. The book is entitled Techno-feudalism: What Killed Capitalism and will be available in print in the US in February. I listened to several interviews with Varoufakis and searched for literature on Neo-feudalism. It's certainly an idea I want to learn more about.

Back in the early oughts there was a book, Netocracy : the new power elite and life after capitalism by Alexander Bard & Jan Söderqvist. For a little while the ideas were discussed quite a lot online. Remembering those conversations I did not anticipate how incredibly concentrated the autocracy would become, i.e., how few feudal lords there would be. And I paid too little attention to Chinese technology. But Bard coined a term for a new underclass called the "consumtariat" which seems quite handy and has stuck with me over the years.

It's going to take me a long while to wrap my head around neo-feudalism. But I suspect it will be time well spent.

Wendy Grossman at net.wars has a recent post, The end of ownership. The provocation for the post is a garage door opener which among other evils forces an ad on you before you can open the garage door. Grossman points to Cory Doctorow, The enshittification of garage-door openers reveals a vast and deadly rot. I'd laugh, but it telling how fast technology and the tech-lords are enclosing us.

Who can sing songs and whose songs can we sing are urgent questions.

#neo-feudalism #netocracy #AI #ownership #rent #serfs #book #yanis varoufakis

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mostlysignssomeportents · 1 year ago

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This day in history

There are only four more days left in my Kickstarter for the audiobook of The Bezzle, the sequel to Red Team Blues, narrated by @wilwheaton! You can pre-order the audiobook and ebook, DRM free, as well as the hardcover, signed or unsigned. There's also bundles with Red Team Blues in ebook, audio or paperback.

#20yrsago Your customers don’t want DRM, part MMMCCXI https://www.wired.com/2004/01/stores-nix-disposable-flicks/

#20yrsago Jason Schultz on American Blind versus Google https://lawgeek.typepad.com/lawgeek/

#20yrsago BugMeNot: circumvent annoying registration https://bugmenot.com

#20yrsago Hundreds of BBCers protest director’s resignation http://news.bbc.co.uk/2/hi/entertainment/3442825.stm

#20yrsago Marxist fairy tales https://web.archive.org/web/20040420002251/http://www.ssc.wisc.edu/~wright/Audiopage.html

#15yrsago Bruce Sterling on our global psychosis, ca. 2009 https://web.archive.org/web/20090201010959/http://www.seedmagazine.com/news/2009/01/2009_will_be_a_year_of_panic.php

#15yrsago Digital Britain report proposes to save Britain’s future by destroying the Internet https://www.openrightsgroup.org/blog/digital-britain-leaving-consumers-out-of-the-picture/

#15yrsago UK fingerprints foreign six-year-old children at the border https://www.theguardian.com/commentisfree/2009/jan/29/eu-idcards

#10yrsago Not just Environment and Health: Canadian government attacks libraries from 12 ministries https://web.archive.org/web/20140303074337/www.desmog.ca/2014/01/27/loss-librarians-devastating-science-and-knowledge-canada

#10yrsago Republican Congressman threatens to kill reporter after State of the Union https://www.dailykos.com/stories/2014/01/29/1273288/-GOP-Congressman-Threatens-to-Kill-Report-After-SOTU

#10yrsago Network Solutions not sure if it will opt random customers into $1,850 “domain protection” plan https://www.techdirt.com/2014/01/28/network-solutions-tries-to-auto-enroll-users-into-its-1850year-domain-protection-plan/

#10yrsago Writers Guild of America tells US government that copyright shouldn’t trump free expression https://torrentfreak.com/hollywood-writers-warn-against-draconian-anti-piracy-measures-140127/

#10yrsago Top lawyer finds GCHQ spying is illegal & UK spies who help US drone strike may be accessories to murder https://www.theguardian.com/uk-news/2014/jan/28/gchq-mass-surveillance-spying-law-lawyer

#10yrsago Extorted out of a one-character Twitter ID by a hacker who seized control of Godaddy domains https://medium.com/@N/how-i-lost-my-50-000-twitter-username-24eb09e026dd

#5yrsago Undercover who targeted Citizen Lab over Israeli cyber-arms dealer is an ex-Israeli spook linked to black ops firm used by Harvey Weinstein https://www.nytimes.com/2019/01/28/world/black-cube-nso-citizen-lab-intelligence.html

#5yrsago Major vulnerability in 5G means that anyone with $500 worth of gear can spy on a wide area’s mobile activity https://www.eff.org/deeplinks/2019/01/5g-protocol-may-still-be-vulnerable-imsi-catchers

#5yrsago Citing terms of service and “bad actors,” Facebook locks out tools that catalog ads and ad targeting https://www.propublica.org/article/facebook-blocks-ad-transparency-tools

#5yrsago A 70% tax on income over $10m is designed to correct inequality, not raise revenue https://www.commondreams.org/views/2019/01/28/alexandria-ocasio-cortezs-70-percent-tax-rich-isnt-about-revenue-its-about

#5yrsago Words, but not deeds: the Democrats as climate-deniers https://jacobin.com/2019/01/climate-change-2020-democrats-green-new-deal

#5yrsago The EU’s plan for algorithmic copyright filters is looking more and more unlikely https://memex.craphound.com/2019/01/29/the-eus-plan-for-algorithmic-copyright-filters-is-looking-more-and-more-unlikely/

#1yrago “Conversational” AI Is Really Bad At Conversations https://pluralistic.net/2023/01/29/conversational-ai-is-really-bad-at-conversations/

Berliners: Otherland has added a second date (Jan 28 - TOMORROW!) for my book-talk after the first one sold out - book now!

Back the Kickstarter for the audiobook of The Bezzle here!

#pluralistic

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mikepercy123 · 1 year ago

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SEO is dead—long live AIO. AI for SEO, AISEO, call it what you will; we’re in a new age now and need to figure it out. Let’s talk about how web designers and search professionals can harness the power of AI to transition to a world where SEO no longer exists in its traditional sense... SEO is dead—long live AIO. AI for SEO, AISEO, call it what you will; we're in a new age now and need to figure it out. Let's talk about how web designers and search professionals can harness the power of AI to transition to a world where SEO no longer exists in its traditional sense now that we're in the post-GPT era. SEO Becomes AIO (AI Optimization) While it's true that traditional SEO tactics are evolving and changing, it's far from dead. In fact, with the increasing importance of search engine algorithms and AI, SEO is more important than ever. AI has already significantly impacted SEO and will likely play an even more prominent role in the future. One way web designers and search professionals can harness the power of AI is by leveraging natural language processing (NLP) and machine learning (ML) algorithms to optimize content for search engines. With NLP, content creators can better understand the intent behind users' search queries and create content that addresses those needs. For example, if someone searches for "best vegan pizza in New York City," an NLP algorithm can understand that the user is looking for information about vegan pizza in NYC and provide search results that are relevant to that query. In addition, ML algorithms can analyze user behaviour to better understand what types of content and keywords are most relevant to them. This allows content creators to optimize their content for specific target audiences, improving search engine rankings and driving more website traffic. Another way that AI can be used to improve SEO is through chatbots and virtual assistants. These tools can help businesses provide quick and efficient customer service, answer frequently asked questions, and gather valuable customer data. Our view While traditional SEO tactics may be evolving, the importance of optimizing content for search engines is likely to be around for a while. By harnessing the power of AI, web designers and search professionals can stay ahead of the curve and ensure that their content is as optimized as possible for search engines. How Times Change In the pre-GPT era, SEO focused on identifying and targeting specific keywords or phrases in content to rank higher in search results. For example, a content creator might have optimized their page for the exact phrase "best vegan pizza in New York City" by including it in the title, meta description, and throughout the content. However, in the post-GPT AI era, the focus has shifted toward understanding the intent behind a user's search query and creating content that addresses that intent more naturally. In this scenario, an NLP algorithm would analyze the user's search query and understand that they are seeking information about vegan pizza in NYC. Based on this understanding, a content creator might create content that includes information about the best vegan pizza places in NYC and other related information, such as the history of vegan pizza or how to make your own vegan pizza at home. By holistically addressing the user's intent, the content is more likely to rank higher in search results and provide a better user experience. Some tips and best practices to ensure success in the post-GPT AI era include: Conduct thorough research: Use tools such as Google Trends, SEMrush, or Ahrefs to identify the most popular search queries related to your topic, as well as the intent behind those queries. Create high-quality, comprehensive content: Rather than focusing solely on specific keywords or phrases, create content that addresses the user's intent in a natural, informative way. Optimize for featured snippets: With the rise of voice search and virtual assistants, optimizing

content to appear in featured snippets (the answer boxes that appear at the top of search results) can be a valuable way to drive traffic to your site. Stay up-to-date on AI advancements: As AI and NLP evolve, it's crucial to stay informed about new developments and how they may impact SEO best practices. By following these tips and best practices, web designers and search professionals can harness AI's power to create content optimized for search engines and provides a valuable user experience. Understanding the role of GPT in SEO GPT, or Generative Pre-trained Transformer, is a machine learning algorithm widely used in natural language processing (NLP). GPT models are trained on massive amounts of data, allowing them to understand the nuances of language and generate more natural-sounding and human-like text. #section_1075138775 { padding-top: 30px; padding-bottom: 30px; margin-bottom: 30px; } In the context of SEO, GPT can be used to better understand user intent and provide more relevant search results. GPT models can identify patterns and predict what users are looking for by analyzing search queries and the language used in the content. For example, if a user searches for "best vegan pizza in NYC," a GPT model might understand that the user is looking for information about vegan pizza restaurants in New York City. Based on this understanding, the model could generate content that addresses the user's query more naturally and informally rather than simply targeting specific keywords or phrases. GPT can also be used to improve content creation and optimization. By analyzing existing content and identifying patterns in language and user behaviour, GPT models can provide insights into what types of content are likely to perform well in search results. For example, a GPT model could analyze the language used in top-ranking content for a particular search query and suggest optimizing new content to match user intent. This could include recommendations for incorporating specific topics or keywords or structuring the content in a more user-friendly and engaging way. Overall, GPT is a powerful tool for improving SEO and providing a better user experience. By understanding the role of GPT in SEO and learning how to leverage this technology effectively, businesses and content creators can stay ahead of the curve and drive more website traffic. Real-world examples of GPT in SEO Here are some real-world examples of how businesses and content creators are using GPT to improve their SEO: HubSpot: HubSpot, a leading inbound marketing and sales platform, use GPT to generate blog content ideas. By analyzing existing content and identifying patterns in user behaviour, HubSpot's GPT models can suggest new topics that are more likely to resonate with their audience and perform well in search results. OpenAI: OpenAI, the research company that developed the GPT algorithm, is using the technology to improve its website's SEO. By analyzing user behaviour data and optimizing content based on GPT-generated insights, OpenAI has increased its website's traffic and improved its search rankings. The New York Times: The New York Times uses GPT to generate more engaging and informative headlines for their articles. By analyzing the language used in existing headlines and identifying patterns likely to perform well, the Times' GPT models can suggest new headline options more likely to capture readers' attention and improve their SEO. SEMrush: SEMrush, a leading SEO and digital marketing platform uses GPT to provide more accurate and relevant search results for its users. SEMrush's GPT models can better match search queries with relevant content and improve the overall user experience by analyzing user behavior data and understanding the nuances of language. These are just a few examples of how businesses and content creators use GPT to improve their SEO. As the technology continues to evolve and become more widely adopted, we can expect to see even more innovative use cases emerge.

Tips and Best Practises Here are some tips and best practices for optimizing content with GPT: Train GPT models on your own data: While pre-trained GPT models are widely available, training your own models on your own data can provide more accurate and relevant insights for your specific audience. By training GPT models on your website data and user behaviour patterns, you can better understand the language and topics that resonate with your audience and optimize your content accordingly. Use GPT to generate content ideas: GPT can generate new ideas based on existing content and user behaviour data. By analyzing the language used in the top-performing range and identifying patterns likely to resonate with your audience, you can use GPT to suggest new topics and angles for your content. Analyze user behaviour data to better understand the intent: GPT can be used to analyze user behaviour data and better understand the intent behind search queries. By identifying patterns in user behaviour, such as common phrases and search terms, you can better tailor your content to match user intent and improve your search rankings. Optimize content structure and formatting: GPT can be used to analyze the language and structure of existing content and suggest optimizations for improving the user experience. For example, GPT may mean breaking up long paragraphs, using subheadings to organize content, or incorporating more multimedia elements to keep users engaged. Continuously monitor and adjust: As with any SEO strategy, it's essential to constantly monitor and adjust your approach based on new data and insights. By using GPT to analyze user behaviour and performance data, you can identify areas for improvement and adjust your content and optimization strategies accordingly. By following these tips and best practices for optimizing content with GPT, businesses and content, creators can improve their SEO and provide a better user experience for their audiences. AIO: The Future of SEO The future of AI and SEO is an exciting and rapidly evolving space. Here are some key trends and emerging technologies to watch: Neural networks: Neural networks are AI technology that works like the human brain by recognizing patterns and making connections between different pieces of information. They use a series of interconnected nodes to process information, allowing them to identify complex relationships and make predictions based on what they've learned. As these technologies advance, they can better understand the nuances of user intent and provide even more accurate and relevant search results. Neural network features: Neural networks mimic the structure and function of the human brain to process information. They use interconnected nodes to recognize patterns and make predictions. As neural network technology advances, it can provide more accurate and relevant search results. Neural networks are already used in image and speech recognition, language translation, and self-driving cars. Did you know? The first artificial neural network was created in the 1950s by psychologist Frank Rosenblatt, who invented a machine that could learn to recognize patterns. Neural networks are inspired by the structure of neurons in the human brain, which communicate with each other through electrical and chemical signals. In 2012, a neural network developed by Google could teach itself to recognize cats in YouTube videos without being explicitly programmed. Deep Learning: Deep learning is a type of AI technology that uses neural networks to analyze and learn from large amounts of data. It is designed to recognize patterns and relationships within complex datasets, allowing it to identify correlations and make predictions based on what it's learned. By leveraging deep learning algorithms, businesses and content creators can improve their SEO by better understanding the nuances of user behavior and optimizing their content accordingly. Deep Learning features:

Deep learning is a type of AI technology that uses neural networks to analyze and learn from large amounts of data. It is used in various applications, such as image and speech recognition, natural language processing, and recommendation systems. By analyzing user behavior data, deep learning algorithms can identify patterns and correlations that may be difficult for humans to see. Businesses and content creators can use deep learning to improve their SEO by optimizing their content based on insights gleaned from user behavior data. Did you know? Deep learning is a subset of machine learning, which is itself a subset of AI. Deep learning algorithms, such as facial recognition and voice assistants, are often used in image and speech recognition applications. In 2016, a deep learning algorithm developed by Google defeated the world champion of the board game Go, which was previously considered too complex for computers to play at a high level. Personalization: As AI technologies become more advanced, they can analyze large amounts of data to understand user behavior and preferences. By leveraging this data, businesses and content, creators can tailor their content to specific audiences and provide a more personalized user experience. Customized search results and content can lead to higher engagement and conversion rates, as users are more likely to engage with content relevant to their interests and needs. Personalization features: AI technologies can analyze large amounts of data to understand user behavior and preferences. Personalized search results and content can lead to higher engagement and conversion rates. Businesses and content creators can use AI technologies to tailor their content to specific audiences and provide a more personalized user experience. Personalization can improve user satisfaction and loyalty, as users are likelier to engage with content relevant to their interests and needs. Did you know? Personalized search results and content have increased user engagement and satisfaction. Amazon's recommendation engine, which uses AI to suggest products to users based on their past purchases and browsing history, has been credited with driving a significant portion of its revenue. Personalization can be achieved through various AI technologies, such as natural language processing and machine learning algorithms. Natural Language Processing (NLP): Natural language processing is a key component of many AI technologies, including GPT. As these technologies advance, they better understand and analyze the nuances of human language, including slang, colloquialisms, and cultural references. NLP features: NLP enables computers to understand, interpret, and manipulate human language. NLP is a key component of many AI technologies, including GPT. GPT uses NLP to analyze user intent and generate relevant search results. As NLP technologies advance, they may better understand and analyze the nuances of human language, including slang, colloquialisms, and cultural references. Did you know? NLP has been used in various applications, including language translation, speech recognition, and chatbots. Google's BERT algorithm, which uses NLP to better understand the context of search queries, has significantly improved the accuracy and relevance of search results. NLP technologies also have applications in healthcare, where they can analyze medical records and help diagnose and treat patients. Voice Search: Voice search technology allows users to search using their voice, typically through a digital assistant like Siri or Alexa. AI plays a vital role in voice search. These technologies use natural language processing and machine learning to understand user intent and provide relevant search results. Businesses and content creators must focus on conversational language and long-tail keywords to optimize their content for voice search. Voice Search features: Voice search allows users to search using their voice, typically through a digital assistant like Siri or Alexa.

AI plays an essential role in voice search. These technologies use natural language processing and machine learning to understand user intent and provide relevant search results. Businesses and content creators must focus on conversational language and long-tail keywords to optimize their content for voice search. Did you know? Voice search is becoming increasingly popular, with an estimated 55% of households expected to have a smart speaker by 2022. Voice search queries tend to be longer and more conversational than text-based queries. Businesses and content creators must focus on long-tail keywords and everyday language to optimize content. Google's Hummingbird algorithm, which uses natural language processing to better understand the meaning behind search queries, has improved the accuracy and relevance of voice search results. By staying up-to-date on emerging AI technologies and trends, businesses and content creators can continue to evolve their SEO strategies and stay ahead of the curve in the ever-changing world of search. Conclusion In this article, we discussed how AI, specifically GPT, is revolutionizing SEO by improving the accuracy and relevance of search results. We explored the differences between traditional SEO tactics and AI optimization. We provided tips and best practices for optimizing content with GPT. We also looked at the future of AI and SEO, including emerging technologies like neural networks and deep learning, as well as the importance of personalization and voice search optimization. AI plays an increasingly important role in SEO. Businesses and content creators must stay ahead of the curve to ensure their content remains relevant and engaging for users. To keep up to speed with this fast-moving industry, subscribe to our newsletter and follow us on Twitter, and we'll make sure you never miss a trick. This article was first published on AIO Spark: SEO is dead—long live AIO

#AI_Optimisation_AIO #AISEO #Keywords #Marketing #SEO

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