#Fake News Detection

[presswoodterryryan]

📰 Alice’s News Adventure: Understanding Current Events and How They Shape Our World! 🌍

By Alice Did you know my big sister, Ariel, isn’t just an artist, scientist, and engineer—she’s also a news analyst?! 🤯✨ Ever since she was young, she loved asking questions about the world, writing stories, and watching how events unfolded around her. She would often sit in front of the television, not just to enjoy the stories presented, but to dissect them, pondering the motivations behind…

[olivergisttv]

How to Identify Fake News Using AI Tools

In today’s digital age, the spread of fake news has become rampant, influencing public opinion and spreading misinformation at an alarming rate. However, AI tools have emerged as powerful allies in the battle against fake news, helping users and organizations detect and combat misinformation. Here’s how you can leverage AI tools to identify fake news:   1. Understand How AI Detects Fake News AI…

[amalasdraws]

https://www.tumblr.com/bigmammallama5/732632789726478336?source=share do you have any tips on how to detect ai and deepfakes?

Good question and I'm gonna be honest, it's not always easy and it will only get harder and harder. I'm just an artist who has spent their personal time to dive into this topic and study images. I'm still learning and there is a lot I don't know. But let me show what I know. This will be long, but I will make a summary at the end! So far, even with ai having become better and better there are still almost always some things wrong with an image, and they all have a very specific look to them. So let me try to show you some and point out some of them.

As we all know, a biggest struggle ai had were hands. And even though here and there we still see messed up hands, I say "had", because the hands is actual a good example on how ai is improving and will only get better. Still, looking at pictures that show more hands is always worth it, because somewhere in the back there will be most likely at least one messed up hand.

Another issue a lot of ai still has is hair though!

It's very obvious still in many ai "drawings" and in those otherwise well rendered portraits. Hair starts to blend with the ears a lot, or with the clothes.

There is also often this very odd look between something too sharp and way too blurry

There is often a very specific texture to the hair. I actually do not know the artistic or specific name for it. I can only describe it as this weird sharp feeling that makes it look oddly pixely, and then you have areas where it's very blurry. And the kind of loops and almost flame like looking hair we see in the last pic out of the three here is also something very common with ai.

As an artist I know we make mistakes too! The way I draw hair is flawed too! But it's not only that it's flawed here, but it's following always the same pattern and falls into the same issues over and over again, no matter who is "creating" the image. Those flame like loops are a common one, next to the odd blends and weird sharp and blurry textures.

But ai is getting better, and we not only have "art" and something that tries to be a drawing/painting, but photos too.

A lot of those "photos" have a very specific texture and look to them! Again, it's not always the mistakes, but the very specific optic too. A lot of the images are oddly smooth, too rendered, with always blurry backgrounds. And when you look closer at the background you will see the mistakes! The crowd behind Jesus is a hot mess once you look closer. Bob Marley's hair has the same issue than I described before. Lincoln is surrounded by people with messed up hands and don't even get me started on the faces behind Caesar.

So a lot of ai images look alright on a first and quick glance, but as more time you spend with them, as more mistakes you will notice. The wehre is Waldo of ai horror.

And those "photos" shared here are still very obvious. Not just the mistakes and messed up details but the very specific aesthetic too.

Those images get better and better and as less details you have, as less mistakes you have!

With photos like this it becomes harder and harder. There are not many details and no hands. Not many mistakes can be made. Also the very obvious plastic looking smoothness isn't so much here anymore. It kinda still is...but differently. And always the blurry background!! Sometimes the hair is still a giveaway. Collars and clothe straps are also often still a giveaway upon close look. As is jewelry. Earrings will be different and necklaces often don't go all the way around, just end, or blend with the hair or clothes.

Often details on jewelry is also blurry and not shown properly. This is a trick with many details. With jewelry, batches, hair, ears, text. So it's often blurred out and not shown properly because ai doesn't know what to really show here.

It's often really just the small details and when we scroll down quickly we will miss them. Like the wedding ring on the middle finger, the pens on top of a closed pocket, the batches that are always blurry, messed up faces that blend with a blurry background.

And sometimes it's so subtle that I could only really tell that right is the ai image in comparison to the real photo on the left. The real photo shows hands clearly and even when things are blurred out it doesn't feel that it's done to hide things. The ai image on the right hides the hands. There is also a very dead look in the eyes :D

And here I could only tell because the text in the back doesn't make sense. Even blurred out we should be able to make out something here

And after seeing a lot of ai images I recognize the kind of blurred out bg in combination with a very smooth and well rendered foreground/characters.

And here the only giveaway is a closer look at the backgrounds as well

To summarize it:

Ai and fake news rely on a fast living world. We are being bombarded with tons of information and messages daily and we scroll past quickly. But the best tool, for now, in detecting ai is taking our time! Those images get better and better but so far there are still always some things off!! Especially in the background!

Hair. Often weirdly smoothed out and oddly sharp at the same time

Hair often blends with the ears or the clothes

Details are blurred out.

Jewelry doesn't match (example earrings). Details on metal often blurred out and never shown. Necklaces blend with hair or the clothes, and don't go around the neck.

Background is always blurred out.

In this blurred mess there are often hidden very messed up faces and/or hands.

A very specific smooth and yet too sharp/too rendered aesthetic combines with an always blurry bg.

Text, especialyl in the background, is not legible and doesn't make sense.

Backgrounds are often (so far) the dead giveaway. Somewhere in the back things become muddled and messed up. This shows also very well in ai decor/architecture. There will be odd lines that don't align or align too well. Curtain poles that end in the furniture, a plant that is behind a lamp suddenly having leaves in front of the lamp. As longer you look as more you will notice.

Conclusion:

Take your time with images! Sit with them! Especially when it's framed as important and political news. Is it ai and propaganda, or did it really happen? Don't fall for the quick buzz and outrage! Some things are obvious right away but with others you have to take your time. And it's time you have! If you are still unsure if a pic is real or not, do some research on top. Image reverse search. Can you find it anywhere else? Are other news outlets sharing it? Does the image/message make sense? For example there is now a deepfake of Bella Hadid voicing support for Israel. Ask yourself, does this make sense? If it feels out of line compared to previous behavior, do some research! Media literacy is not just as being able to recognize a fake or real right away, but being able to do research. To question things! Don't just take every post online for face value. Even when shared by a mutual you trust. They might have been tricked!

There are so many information online and it's great to have access to so information, but it's also difficult to wade through all of it. Media and truth are a weapon and it's being twisted and bend used to manipulate. Always has! But ai and so many people being able to post and share things, it becomes bigger and bigger and more dangerous. So don't just take everything that is handed to you and share it further no questions asked. Media literacy and being able to think for ourselves and do the research is important!! And as research becomes harder and harder, as sources are being messed up with ai and other fake news, it's even more important to sit with the images and study them. See the flaws, the mistakes. Compare it to other news and images.

This got long, and I started to ramble at the end. Sorry But I hope this helped

[carebeardean]

Charles has always left Edwin little notes slipped between the pages of his favorite books, in his science equipment, places he knows Edwin loves. Just silly things—post its that say “hi Edwin :)”. doodles of Edwin with his nose stuck in a book. reminders to stock up on wolfsbane. but.

Then, post canon, Edwin tentatively starts dating people. And it’s ridiculous, because Edwin’s right there, all the time, but Charles..misses him a bit. And his heads a mess, and he can’t sort out what the hell he’s feeling most of the time, and whenever he tries to say any of it out loud it comes out rubbish.

So. He writes down some of the shit he can’t say right, and because he’s a coward, hides them so he doesn’t have to see Edwin’s face when he reads them.

then Edwin starts writing back.

Neat lilac blue little envelopes appear in Charles coat pockets. In his bag. Once, in his shoe? Some nights, Edwin will clear his throat and mention something from a letter, offhand, like they’re just picking up conversation, and Charles can pretend they are. That they always have talked about the basement, the belt, the nameless fear that chokes him every time Edwin walks out the door with someone else on his arm.

Sometimes he can’t. The words get stuck in his throat. Edwin’s not mad, he’s maddeningly, stubbornly kind about it, which is worse.

Some nights they trade. A secret for a secret. Charles learns about the novels Edwin used to hide under his mattress, about all the lonely years before Charles got there. About Simon.

Meanwhile, Edwin is losing his mind, because Charles has accidentally stumbled onto what was a fucking courting ritual in his time. Love letters were something engaged couples treasured for years, kept and reread over and over. (Edwin does. keep them in a special box, will take one out and trace the words, tuck it in his breast pocket for courage).

Edwin would rather have to reattach a limb again than lose Charles trust, all the dark and beautiful things he shares with Edwin only. He knows—knows Charles doesn’t mean to make him fall more in love with him.

[mickeyluggage]

His life is so crazy I could make a hundred more of those cards

[willowreadsgayfanfiction]

[the-rainbow-meme]

it's 1am and my hand slipped

[Edwin's boys gc (part 2)] [part 3]

[capricho42]

Сезон дождей

[thealogie]

David Tennant is never going to beat these allegations *beats them easily by never having said the thing* ah well nevertheless

[longclawislightbringer]

Save the Date

Rating: T

Relationships: Rosaline Capulet/Benvolio Montague, Helena/Princess Isabella, Livia Capulet/Count Paris, Rosaline Capulet/Prince Escalus (past)

Characters: Rosaline Capulet, Benvolio Montague, Prince Escalus, Livia Capulet, Count Paris, Princess Isabella, Helena, Stella

Summary: Rosaline Capulet runs into her ex at a coffee shop and accidentally tells him that she has date to his sister’s wedding. The only problem— the first name that pops into her head is her sarcastic partner at the Verona PD, Detective Benvolio Montague. Now she has to juggle a fake relationship on top of their murder investigation.

Read on AO3.

Read on Tumblr:

Accidental Boyfriends and Half-Baked Plans

The Plot Thickens

Murder Weapons and Practice Dates

The Bachelorette Party from Hell

The Bed and the Murder Board

The Wedding

Vindication

Justice is Served

[aghostuponthemoor]

If the anime still had that old style like the one you drew, I would still be watching it ❤️ I love how genuine it feels

Personal redraw challenge - Aquarium case

I really wanted to redraw a scene from the aquarium case because some of the Shinran frames in that episode were just not it.

I actually finished this one months ago but ended up never posting it because I wasn’t satisfied with the colors. I had decided to go for more traditional colors, outfits, and the simplicity that came with hand drawn tv shows. And I do think it looks good, but I feel that overall, it clashes with the fish in the background :p

[ctcnewsca]

🇨🇦 Ontario woman loses $26,820 to a fake CRA website scam, highlighting the dangers of spoofed sites targeting unsuspecting victims. 🇨🇦 Learn how to spot fake websites, protect your finances, and stay safe from cybercriminals 👇🏻

[goodwindetectives]

La importancia de la investigación privada de antecedentes #detectivesprivados #investigacionprivada #antecedentes #torremolinos #algeciras #tarifa #cadiz #malaga #granada #detectiveprivada #fakenews #investigation #goodwindetectives Llámenos al +34 644850956 o escríbanos a: info@goodwindetectives.com Visite nuestra web en: https://www.goodwindetectives.com

[ahrefsonline]

How AI is Fooling the World with Fake News – And How Data Can Fight It 

In an era where artificial intelligence (AI) is revolutionizing industries, one alarming consequence is the rise of AI-generated fake news. Deepfake videos, AI-written articles, and synthetic media are blurring the lines between reality and deception. A study by MIT found that fake news spreads six times faster than real news on Twitter (Sources & Citations: MIT, 2018).

This phenomenon poses a serious threat to democracy, businesses, and public trust. But while AI is fueling the fire, data and analytics are emerging as the ultimate weapon to combat misinformation.

AI fake news detection

[presswoodterryryan]

Alice Investigates: How to Tell What’s True (A Little Sister’s Guide Inspired by Ariel!)

By Alice Have you ever wondered if everything you read online is true? Well, Mr. Fluffernutter and I did some investigating, and the answer might surprise you! Let’s find out together! Hi everyone! It’s Alice, and guess what? My big sister Ariel wrote a super-duper important paper about figuring out if something is true or just somebody’s opinion. It’s such a cool paper that I think it will…

[jcmarchi]

Deepfakes and Navigating the New Era of Synthetic Media

New Post has been published on https://thedigitalinsider.com/deepfakes-and-navigating-the-new-era-of-synthetic-media/

Deepfakes and Navigating the New Era of Synthetic Media

Remember “fake news“? The term has been used (and abused) so extensively at this point that it can be hard to remember what it initially referred to. But the concept has a very specific origin. Ten years ago, journalists began sounding the alarm about an influx of purported “news” sites flinging false, often outlandish claims about politicians and celebrities. Many could instantly tell these sites were illegitimate.

But many more lacked the critical tools to recognize this. The result was the first stirrings of an epistemological crisis that is now coming to engulf the internet—one that has reached its most frightening manifestation with the rise of deepfakes.

Next to even a passable deepfake, the “fake news” websites of yore seem tame. Worse yet, even those who believe themselves to possess relatively high levels of media literacy are at risk of being fooled. Synthetic media created with the use of deep learning algorithms and generative AI have the potential to wreak havoc on the foundations of our society. According to Deloitte, this year alone they could cost businesses more than $250 million through phony transactions and other varieties of fraud. Meanwhile, the World Economic Forum has called deepfakes “one of the most worrying uses of AI,” pointing to the potential of “agenda-driven, real-time AI chatbots and avatars” to facilitate new strains of ultra-personalized (and ultra-effective) manipulation.

The WEF’s suggested response to this problem is a sensible one: they advocate a “zero-trust mindset,” one that brings a degree of skepticism to every encounter with digital media. If we want to distinguish between the authentic and synthetic moving forward—especially in immersive online environments—such a mindset will be increasingly essential.

Two approaches to combating the deepfake crisis

Combating rampant disinformation bred by synthetic media will require, in my opinion, two distinct approaches.

The first involves verification: providing a simple way for everyday internet users to determine whether the video they’re looking at is indeed authentic. Such tools are already widespread in industries like insurance, given the potential of bad actors to file false claims abetted by doctored videos, photographs and documents. Democratizing these tools—making them free and easy to access—is a crucial first step in this fight, and we are already seeing significant movement on this front.

The second step is less technological in nature, and thus more of a challenge: namely, raising awareness and fostering critical thinking skills. In the aftermath of the original “fake news” scandal, in 2015, nonprofits across the country drew up media literacy programs and worked to spread best practices, often pairing with local civic institutions to empower everyday citizens to spot falsehoods. Of course, old-school “fake news” is child’s play next to the most advanced deepfakes, which is why we need to redouble our efforts on this front and invest in education at every level.

Advanced deepfakes require advanced critical thinking

Of course, these educational initiatives were somewhat easier to undertake when the disinformation in question was text-based. With fake news sites, the telltale signs of fraudulence were often obvious: janky web design, rampant typos, bizarre sourcing. With deepfakes, the signs are much more subtle—and quite often impossible to notice at first glance.

Accordingly, internet users of every age need to effectively re-train themselves to scrutinize digital video for deepfake indicators. That means paying close attention to a number of factors. For video, that could mean unreal-seeming blurry areas and shadows; unnatural-looking facial movements and expressions; too-perfect skin tones; inconsistent patterns in clothing and in movements; lip sync errors; on and on. For audio, that could mean voices that are too-pristine sounding (or obviously digitized), a lack of a human-feeling emotional tone, odd speech patterns, or unusual phrasing.

In the short-term, this kind of self-training can be highly useful. By asking ourselves, over and over again, Does this look suspicious?, we sharpen not merely our ability to detect deepfakes but our critical thinking skills in general. That said, we are rapidly approaching a point at which not even the best-trained eye will be able to separate fact from fiction without outside assistance. The visual tells—the irregularities mentioned above—will be technologically smoothed over, such that wholly manufactured clips will be indistinguishable from the genuine article. What we will be left with is our situational intuition—our ability to ask ourselves questions like Would such-and-such a politician or celebrity really say that? Is the content of this video plausible?

It is in this context that AI-detection platforms become so essential. With the naked eye rendered irrelevant for deepfake detection purposes, these platforms can serve as definitive arbiters of reality—guardrails against the epistemological abyss. When a video looks real but somehow seems suspicious—as will occur more and more often in the coming months and years—these platforms can keep us grounded in the facts by confirming the baseline veracity of whatever we’re looking at. Ultimately, with technology this powerful, the only thing that can save us is AI itself. We need to fight fire with fire—which means using good AI to root out the technology’s worst abuses.

Really, the acquisition of these skills in no way needs to be a cynical or negative process. Fostering a zero-trust mindset can instead be thought of as an opportunity to sharpen your critical thinking, intuition, and awareness. By asking yourself, over and over again, certain key questions—Does this make sense? Is this suspicious?—you heighten your ability to confront not merely fake media but the world writ large. If there’s a silver lining to the deepfake era, this is it. We are being forced to think for ourselves and to become more empirical in our day-to-day lives—and that can only be a good thing.