#wikiloops

[m4nicfx4ti0n5]

new

[flommcast-blog]

FLoMMCAST welcome to an art world you’ve yet to discover

FLoMMCAST is hosted weekly by alley scheffki episode 9 +「 die sondos, la musique et le texto libérés 」

deets: www.flomm.us/flommcastseason1finale featuring :   a. alley scheffki sacramento california voice acting @iamthebluerose   b. daniel scheffki sacramento california performing : a minor movement guitar/ multi instrumentalist/ composer can be found on wikiloops.com   c. syd scanlon sacramento california @sydvicious161   d. midoru france playing diamond eyes multi instrumentalist/ composer can be found on wikiloops.com e. devon parks-cloutier oakland california poetry reading : i have been awed www.parkscloutier.com f. tom manion arizona performing : blues #46 singer/ guitar/ multi instrumentalist/ composer can be found on wikiloops.com g. melony ppenosyne sacramento california poetry reading : celebrity author/ writer/ improv comedian www.flomm.us/author/melony-ppenosyne h. anne cozean california performing : shoo shoo bop singer/ songwriter can be found on wikiloops.com   i. jeremiah jacobs sacramento california performing : the heart break time machine facebook.com/heartbreaktimemachine   j. kay scheffki accompanied by daniel scheffki sacramento california performing : skyfall young child with artist aspirations/ pianist   k. shi shoni england performing : sweet child singer/ songwriter can be found on wikiloops.com l. mariola sacramento california spoken word the jedheart media foundation m. bryan herndon sacramento california rap : dreamscape n. lindsay gene henderson chicago voice acting actor/ voice talent lindsaygenehenderson[at]gmail.com o. robert joly canada performing : le dormeur du val acoustic guitar/ composer p. melony ppenosyne sacramento california reading : monolog of sublime dissonance author/ writer/ improv comedian www.flomm.us/author/melony-ppenosyne q. emilio “the mils” edition performing : what happened to us @themilsedition www.themilsedition.com r. emilio “the mils” edition voice acting as james earl jones poetry reading : first sights @themilsedition www.themilsedition.com s. stefano troncarelli italy performing : shinning star hammond organ/ keyboards can be found on wikiloops.com t. christian alvarez sacramento california spoken word : gloom june u. emilio “the mils” edition voice acting as cleveland brown rapping @themilsedition www.themilsedition.com v. franco quadroni italy performing : breakfast at rosalba’s guitarist/ composer can be found on wikiloops.com w. bryan herndon sacramento california rap : lemonade x. bryan herndon sacramento california poetry reading : the mantra makes the man y. aaron morehead southern illinois performing : maestro guitar/ multi instrumentalist/ composer can be found on wikiloops.com   wikiloops.com is a collaborative online community of home recording musicians, it is a free platform with over 30,000 members

FLoMMCAST on itunes on google play on tunein on stitcher

FLOMM website

[riichardwilson]

Google now uses BERT to match stories with fact checks

Google announced and summarized a lot of the changes and updates the company made to Google Search over the past year. This announcement covers changes to Google Search, Google News, autocomplete, fact checking, through BERT and language processing.

At a high level, Google is aiming to provide search results that are not just as relevant as possible, but also as reliable as possible. And in some cases, like in the YMYL, your money your life sector, reliability is of a higher concern to Google, especially with the U.S. presidential election around the corner and health being of top concern during the pandemic.

What has changed? Pandu Nayak, Google Fellow and Vice President of Google Search, said today’s announcement was more about the ongoing changes Google has made over the years rather than a new product or feature launching. Here are recent tweaks and changes the company highlighted from the past year:

Auto-complete policy change around elections, specifically being more conservative and showing less vs more in this area.

Google BERT being used in full coverage news stories to better match fact checks with stories.

Fact check labels has been shown over 4 billion times in 2020.

Google works closer with Wikipedia to detect and remove vandalism that Google may use in knowledge panels.

Google is now able to detect breaking news queries in a few minutes versus 40+ minutes.

BERT and full coverage. Google is now leveraging BERT, one of its language AI models, to better understand if stories in the Google News full coverage area are reliable in terms of the facts on the web. So Google in a sense can see the connections between the articles and fact check database to better match fact checks with stories. In a sense help with understanding if the fact check is related to the main topic of stories.

Pandu wrote, “we also just launched an update using our ​BERT language understanding models​ to improve the matching between news stories and available fact checks. These systems can better understand whether a fact check claim is related to the central topic of a story, and surface those fact checks more prominently in Full Coverage — a News feature that provides a complete picture of how a story is reported from a variety of sources. ​With just a tap, Full Coverage lets you see top headlines from different sources, videos, local news reports, FAQs, social commentary, and a timeline for stories that have played out over time.”

Breaking news. Google said it can now detect breaking news queries within a few minutes of the news breaking. While in the past, it could take Google over 40 minutes. These types of breaking news queries in the past would sometimes surface inaccurate information. So now Google can detect breaking news queries much faster and thus turn up the lever on what types of sites it wants to show for those queries early on – in this case, more authoritative results that match on the E-A-T.

You should expect more accurate and reliable information from Google around breaking news topics.

Auto-complete policy changes. David Graff, Senior Director, Trust & Safety at Google, said around the elections specifically but also around some other areas, Google is going to take a more conservative approach with what suggestions it shows in auto-complete. Google rather not show a suggestion in auto-complete than show an inaccurate suggestion. So around elections and some other areas, Google may show less suggestions than more.

Pandu explained that Google has “expanded Autocomplete policies related to elections, and we will remove predictions that could be interpreted as claims for or against any candidate or political party.” “We will also remove predictions that could be interpreted as a claim about participation in the election—like statements about voting methods, requirements, or the status of voting locations—or the integrity or legitimacy of electoral processes, such as the security of the election,” he explained. One example given by David Graff was that a query like [you can vote by mail by texas], if that is true or not, might not be shown. One important note is that “whether or not a prediction appears, you can still search for whatever you’d like and find results,” David explained.

Fact check label shown 4 billion times. Google said that so far in 2020, the fact check label has been shown over 4 billion times in search. Google said this is already more than how many times Google showed this fact-check label in all of 2019. Google has expanded the fact check label across news, search, images and other areas over the past few years.

Knowledge graph and Wikipedia. Google has been investing a lot along side Wikipedia to detect and reduce vandalism within Wikipedia. Since Google sources Wikipedia very often for its knowledge panels and featured snippets, Google has an incentive to ensure those Wikipedia entries are reliable and accurate. Most issues are corrected within Wikipedia within minutes, Google said.

“To complement Wikipedia’s systems, we’ve added additional protections and detection systems to prevent potentially inaccurate information from appearing in knowledge panels. On rare occasions, instances of vandalism on Wikipedia can slip through. Only a small proportion of edits from Wikipedia are potential vandalism, and we’ve improved our systems to now detect 99 percent of those cases. If these issues do appear, we have policies that allow us to take action quickly to address them. To further support the Wikipedia community,​ we created the WikiLoop program last year that hosts several editor tools focused on content quality. This includes WikiLoop DoubleCheck​, one of a number tools Wikipedia editors and users can use to track changes on a page and flag potential issues. We contribute data from our own detection systems, which members of the community can use to uncover new insights,” Google wrote.

Search quality raters and guidelines. Google explained that a lot of the benchmarks and criteria is listed in its Search Quality Raters Guidelines. Google clearly documents in there their goals for the search results, which types of queries require a higher level of authoritative and reliable sources, and which do not. In fact, Pandu explained that Google trains its query classifiers to understand if a query pertains to the YMYL category (we know this).  So when new issues arise, Google’s systems are ready to handle those queries he said.

To understand what is reliable, particularly in areas of health and elections.  Google had to define what reliable and high quality directly their search quality raters guidelines. Google uses the feedback from the quality raters guidelines and feeds this into machine learning models to send this feedback back to their engineers to improve search overall. Again, Google does not use these raters directly in search and these rating to not directly influence the search rankings of individual queries or sites.

Google has more than 10,000 raters around the world, including one in every single state in order to get a representative view of all searchers.  These raters rate the search results based on those quality raters guidelines.  Raters look at side by side experiments, Google did over 60,000 side-by-side experiments and almost 400,000 search quality tests, with over 1M over the past four years – that is about 1,000 tests per day.

Why we care. Google is constantly tweaking Google Search to improve search quality, relevancy, reliability and accuracy. That means that you need to constantly improve your web site to ensure you have the highest quality, more relevant, more reliable and accurate content and user experience.  

Nothing specific is changing today with Google Search, but think about these changes in the long term and keep improving your web site.

About The Author

Barry Schwartz a Contributing Editor to Search Engine Land and a member of the programming team for SMX events. He owns RustyBrick, a NY based web consulting firm. He also runs Search Engine Roundtable, a popular search blog on very advanced SEM topics. Barry’s personal blog is named Cartoon Barry and he can be followed on Twitter here.

Website Design & SEO Delray Beach by DBL07.co

Delray Beach SEO

source http://www.scpie.org/google-now-uses-bert-to-match-stories-with-fact-checks/ source https://scpie.tumblr.com/post/628960043439718400

[scpie]

Google now uses BERT to match stories with fact checks

Google announced and summarized a lot of the changes and updates the company made to Google Search over the past year. This announcement covers changes to Google Search, Google News, autocomplete, fact checking, through BERT and language processing.

At a high level, Google is aiming to provide search results that are not just as relevant as possible, but also as reliable as possible. And in some cases, like in the YMYL, your money your life sector, reliability is of a higher concern to Google, especially with the U.S. presidential election around the corner and health being of top concern during the pandemic.

What has changed? Pandu Nayak, Google Fellow and Vice President of Google Search, said today’s announcement was more about the ongoing changes Google has made over the years rather than a new product or feature launching. Here are recent tweaks and changes the company highlighted from the past year:

Auto-complete policy change around elections, specifically being more conservative and showing less vs more in this area.

Google BERT being used in full coverage news stories to better match fact checks with stories.

Fact check labels has been shown over 4 billion times in 2020.

Google works closer with Wikipedia to detect and remove vandalism that Google may use in knowledge panels.

Google is now able to detect breaking news queries in a few minutes versus 40+ minutes.

BERT and full coverage. Google is now leveraging BERT, one of its language AI models, to better understand if stories in the Google News full coverage area are reliable in terms of the facts on the web. So Google in a sense can see the connections between the articles and fact check database to better match fact checks with stories. In a sense help with understanding if the fact check is related to the main topic of stories.

Pandu wrote, “we also just launched an update using our ​BERT language understanding models​ to improve the matching between news stories and available fact checks. These systems can better understand whether a fact check claim is related to the central topic of a story, and surface those fact checks more prominently in Full Coverage — a News feature that provides a complete picture of how a story is reported from a variety of sources. ​With just a tap, Full Coverage lets you see top headlines from different sources, videos, local news reports, FAQs, social commentary, and a timeline for stories that have played out over time.”

Breaking news. Google said it can now detect breaking news queries within a few minutes of the news breaking. While in the past, it could take Google over 40 minutes. These types of breaking news queries in the past would sometimes surface inaccurate information. So now Google can detect breaking news queries much faster and thus turn up the lever on what types of sites it wants to show for those queries early on – in this case, more authoritative results that match on the E-A-T.

You should expect more accurate and reliable information from Google around breaking news topics.

Auto-complete policy changes. David Graff, Senior Director, Trust & Safety at Google, said around the elections specifically but also around some other areas, Google is going to take a more conservative approach with what suggestions it shows in auto-complete. Google rather not show a suggestion in auto-complete than show an inaccurate suggestion. So around elections and some other areas, Google may show less suggestions than more.

Pandu explained that Google has “expanded Autocomplete policies related to elections, and we will remove predictions that could be interpreted as claims for or against any candidate or political party.” “We will also remove predictions that could be interpreted as a claim about participation in the election—like statements about voting methods, requirements, or the status of voting locations—or the integrity or legitimacy of electoral processes, such as the security of the election,” he explained. One example given by David Graff was that a query like [you can vote by mail by texas], if that is true or not, might not be shown. One important note is that “whether or not a prediction appears, you can still search for whatever you’d like and find results,” David explained.

Fact check label shown 4 billion times. Google said that so far in 2020, the fact check label has been shown over 4 billion times in search. Google said this is already more than how many times Google showed this fact-check label in all of 2019. Google has expanded the fact check label across news, search, images and other areas over the past few years.

Knowledge graph and Wikipedia. Google has been investing a lot along side Wikipedia to detect and reduce vandalism within Wikipedia. Since Google sources Wikipedia very often for its knowledge panels and featured snippets, Google has an incentive to ensure those Wikipedia entries are reliable and accurate. Most issues are corrected within Wikipedia within minutes, Google said.

“To complement Wikipedia’s systems, we’ve added additional protections and detection systems to prevent potentially inaccurate information from appearing in knowledge panels. On rare occasions, instances of vandalism on Wikipedia can slip through. Only a small proportion of edits from Wikipedia are potential vandalism, and we’ve improved our systems to now detect 99 percent of those cases. If these issues do appear, we have policies that allow us to take action quickly to address them. To further support the Wikipedia community,​ we created the WikiLoop program last year that hosts several editor tools focused on content quality. This includes WikiLoop DoubleCheck​, one of a number tools Wikipedia editors and users can use to track changes on a page and flag potential issues. We contribute data from our own detection systems, which members of the community can use to uncover new insights,” Google wrote.

Search quality raters and guidelines. Google explained that a lot of the benchmarks and criteria is listed in its Search Quality Raters Guidelines. Google clearly documents in there their goals for the search results, which types of queries require a higher level of authoritative and reliable sources, and which do not. In fact, Pandu explained that Google trains its query classifiers to understand if a query pertains to the YMYL category (we know this).  So when new issues arise, Google’s systems are ready to handle those queries he said.

To understand what is reliable, particularly in areas of health and elections.  Google had to define what reliable and high quality directly their search quality raters guidelines. Google uses the feedback from the quality raters guidelines and feeds this into machine learning models to send this feedback back to their engineers to improve search overall. Again, Google does not use these raters directly in search and these rating to not directly influence the search rankings of individual queries or sites.

Google has more than 10,000 raters around the world, including one in every single state in order to get a representative view of all searchers.  These raters rate the search results based on those quality raters guidelines.  Raters look at side by side experiments, Google did over 60,000 side-by-side experiments and almost 400,000 search quality tests, with over 1M over the past four years – that is about 1,000 tests per day.

Why we care. Google is constantly tweaking Google Search to improve search quality, relevancy, reliability and accuracy. That means that you need to constantly improve your web site to ensure you have the highest quality, more relevant, more reliable and accurate content and user experience.  

Nothing specific is changing today with Google Search, but think about these changes in the long term and keep improving your web site.

About The Author

Barry Schwartz a Contributing Editor to Search Engine Land and a member of the programming team for SMX events. He owns RustyBrick, a NY based web consulting firm. He also runs Search Engine Roundtable, a popular search blog on very advanced SEM topics. Barry’s personal blog is named Cartoon Barry and he can be followed on Twitter here.

Website Design & SEO Delray Beach by DBL07.co

Delray Beach SEO

source http://www.scpie.org/google-now-uses-bert-to-match-stories-with-fact-checks/

[laurelkrugerr]

Google now uses BERT to match stories with fact checks

Google announced and summarized a lot of the changes and updates the company made to Google Search over the past year. This announcement covers changes to Google Search, Google News, autocomplete, fact checking, through BERT and language processing.

At a high level, Google is aiming to provide search results that are not just as relevant as possible, but also as reliable as possible. And in some cases, like in the YMYL, your money your life sector, reliability is of a higher concern to Google, especially with the U.S. presidential election around the corner and health being of top concern during the pandemic.

What has changed? Pandu Nayak, Google Fellow and Vice President of Google Search, said today’s announcement was more about the ongoing changes Google has made over the years rather than a new product or feature launching. Here are recent tweaks and changes the company highlighted from the past year:

Auto-complete policy change around elections, specifically being more conservative and showing less vs more in this area.

Google BERT being used in full coverage news stories to better match fact checks with stories.

Fact check labels has been shown over 4 billion times in 2020.

Google works closer with Wikipedia to detect and remove vandalism that Google may use in knowledge panels.

Google is now able to detect breaking news queries in a few minutes versus 40+ minutes.

BERT and full coverage. Google is now leveraging BERT, one of its language AI models, to better understand if stories in the Google News full coverage area are reliable in terms of the facts on the web. So Google in a sense can see the connections between the articles and fact check database to better match fact checks with stories. In a sense help with understanding if the fact check is related to the main topic of stories.

Pandu wrote, “we also just launched an update using our ​BERT language understanding models​ to improve the matching between news stories and available fact checks. These systems can better understand whether a fact check claim is related to the central topic of a story, and surface those fact checks more prominently in Full Coverage — a News feature that provides a complete picture of how a story is reported from a variety of sources. ​With just a tap, Full Coverage lets you see top headlines from different sources, videos, local news reports, FAQs, social commentary, and a timeline for stories that have played out over time.”

Breaking news. Google said it can now detect breaking news queries within a few minutes of the news breaking. While in the past, it could take Google over 40 minutes. These types of breaking news queries in the past would sometimes surface inaccurate information. So now Google can detect breaking news queries much faster and thus turn up the lever on what types of sites it wants to show for those queries early on – in this case, more authoritative results that match on the E-A-T.

You should expect more accurate and reliable information from Google around breaking news topics.

Auto-complete policy changes. David Graff, Senior Director, Trust & Safety at Google, said around the elections specifically but also around some other areas, Google is going to take a more conservative approach with what suggestions it shows in auto-complete. Google rather not show a suggestion in auto-complete than show an inaccurate suggestion. So around elections and some other areas, Google may show less suggestions than more.

Pandu explained that Google has “expanded Autocomplete policies related to elections, and we will remove predictions that could be interpreted as claims for or against any candidate or political party.” “We will also remove predictions that could be interpreted as a claim about participation in the election—like statements about voting methods, requirements, or the status of voting locations—or the integrity or legitimacy of electoral processes, such as the security of the election,” he explained. One example given by David Graff was that a query like [you can vote by mail by texas], if that is true or not, might not be shown. One important note is that “whether or not a prediction appears, you can still search for whatever you’d like and find results,” David explained.

Fact check label shown 4 billion times. Google said that so far in 2020, the fact check label has been shown over 4 billion times in search. Google said this is already more than how many times Google showed this fact-check label in all of 2019. Google has expanded the fact check label across news, search, images and other areas over the past few years.

Knowledge graph and Wikipedia. Google has been investing a lot along side Wikipedia to detect and reduce vandalism within Wikipedia. Since Google sources Wikipedia very often for its knowledge panels and featured snippets, Google has an incentive to ensure those Wikipedia entries are reliable and accurate. Most issues are corrected within Wikipedia within minutes, Google said.

“To complement Wikipedia’s systems, we’ve added additional protections and detection systems to prevent potentially inaccurate information from appearing in knowledge panels. On rare occasions, instances of vandalism on Wikipedia can slip through. Only a small proportion of edits from Wikipedia are potential vandalism, and we’ve improved our systems to now detect 99 percent of those cases. If these issues do appear, we have policies that allow us to take action quickly to address them. To further support the Wikipedia community,​ we created the WikiLoop program last year that hosts several editor tools focused on content quality. This includes WikiLoop DoubleCheck​, one of a number tools Wikipedia editors and users can use to track changes on a page and flag potential issues. We contribute data from our own detection systems, which members of the community can use to uncover new insights,” Google wrote.

Search quality raters and guidelines. Google explained that a lot of the benchmarks and criteria is listed in its Search Quality Raters Guidelines. Google clearly documents in there their goals for the search results, which types of queries require a higher level of authoritative and reliable sources, and which do not. In fact, Pandu explained that Google trains its query classifiers to understand if a query pertains to the YMYL category (we know this).  So when new issues arise, Google’s systems are ready to handle those queries he said.

To understand what is reliable, particularly in areas of health and elections.  Google had to define what reliable and high quality directly their search quality raters guidelines. Google uses the feedback from the quality raters guidelines and feeds this into machine learning models to send this feedback back to their engineers to improve search overall. Again, Google does not use these raters directly in search and these rating to not directly influence the search rankings of individual queries or sites.

Google has more than 10,000 raters around the world, including one in every single state in order to get a representative view of all searchers.  These raters rate the search results based on those quality raters guidelines.  Raters look at side by side experiments, Google did over 60,000 side-by-side experiments and almost 400,000 search quality tests, with over 1M over the past four years – that is about 1,000 tests per day.

Why we care. Google is constantly tweaking Google Search to improve search quality, relevancy, reliability and accuracy. That means that you need to constantly improve your web site to ensure you have the highest quality, more relevant, more reliable and accurate content and user experience.  

Nothing specific is changing today with Google Search, but think about these changes in the long term and keep improving your web site.

About The Author

Barry Schwartz a Contributing Editor to Search Engine Land and a member of the programming team for SMX events. He owns RustyBrick, a NY based web consulting firm. He also runs Search Engine Roundtable, a popular search blog on very advanced SEM topics. Barry’s personal blog is named Cartoon Barry and he can be followed on Twitter here.

Website Design & SEO Delray Beach by DBL07.co

Delray Beach SEO

source http://www.scpie.org/google-now-uses-bert-to-match-stories-with-fact-checks/ source https://scpie1.blogspot.com/2020/09/google-now-uses-bert-to-match-stories.html

[android-for-life]

"Our latest investments in information quality in Search and News"

Delivering high-quality results is what has always set Google apart from other search engines, even in our earliest days. Over the years as the product and user experience have evolved, our investments in quality have accelerated. 

We conduct extensive testing to ensure that Search is as helpful as it can be—from the quality of information we deliver, to the overall experience. Since 2017, we’ve done more than 1 million search quality tests, and we now average more than 1,000 tests per day. 

In addition to investing in the overall Search experience, we also focus on providing reliable information for people everywhere. We’ve highlighted our fundamental approach and ongoing investment in this area, but we also wanted to share some of the new improvements we’ve made to continue to deliver high quality information.

In a year when access to reliable information is more critical than ever—from COVID-19 to natural disasters to important moments of civic participation around the world—our longstanding commitment to quality remains at the core of our mission to make the world’s information accessible and useful. 

New insights from our Intelligence Desk

With new things happening around the world every day, the information landscape can change quickly. To understand how our systems are performing when news breaks, we’ve developed an Intelligence Desk, which actively monitors and identifies potential information threats. 

This effort grew out of our Crisis Response team, which for years has done real-time tracking of events around the world, launching SOS Alerts in Search and Maps to help people get vital information quickly. Over the years, we’ve monitored thousands of events and launched hundreds of alerts to help keep people safe.

Crisis events monitored (green) and SOS Alerts launched (red), 2016 - 2020.

The Intelligence Desk is a global team of analysts monitoring news events 24/7, spanning natural disasters and crises, breaking news moments and the latest developments in ongoing topics like COVID. When events occur, our analysts collect data about how our systems are responding and compile reports about narratives that are emerging, like new claims about COVID treatments. Our product teams use these data sets and reports from the Intelligence Desk to run more robust quality tests and ensure that our systems are working as intended for the wide range of topics people Search for.

Improving our systems for breaking news and crises

As news is developing, the freshest information published to the web isn’t always the most accurate or trustworthy, and people’s need for information can accelerate faster than facts can materialize. 

Over the past few years, we’ve improved our systems to automatically recognize breaking news around crisis moments like natural disasters and ensure we’re returning the most authoritative information available. We’ve also made significant strides in our overall ability to accurately identify breaking news moments, and do so more quickly. We’ve improved our detection time from up to 40 minutes just a few years ago, to now within just a few minutes of news breaking.

Our improvements in detecting crisis events expands on our work in 2017 to improve the quality of results for topics that might be susceptible to hateful, offensive and misleading information. Those improvements remain fundamental to how we handle low-quality information in Search and News products, and since then, we’ve continuously updated our systems to be able to detect topic areas that may be at risk for misinformation. We’re continuing to train and test our systems to ensure that whatever people are searching for, they can find reliable information.

Providing accurate information from the Knowledge Graph

In Search, features like knowledge panels that display information from the Google Knowledge Graph help you get quick access to the facts from sources across the web. To deliver high-quality information in these features, we’ve deepened our partnerships with government agencies, health organizations and Wikipedia to ensure reliable, accurate information is available, and protect against potential vandalism.

For COVID-19, we worked with health organizations around the world to provide local guidance and information to keep people safe. To respond to emerging information needs, like the surge we saw in people searching for unemployment benefits, we provide easy access to information right from government agencies in the U.S. and other countries. For elections information, we work with non-partisan civic organizations that provide authoritative information about voting methods, candidates, election results and more.

Information in knowledge panels comes from hundreds of sources, and one of the most comprehensive knowledge bases is Wikipedia. Volunteer Wikipedia editors around the world have created robust systems to guard for neutrality and accuracy. They use machine learning tools paired with intricate human oversight to spot and address vandalism. Most vandalism on Wikipedia is reverted within a matter of minutes.

To complement Wikipedia’s systems, we’ve added additional protections and detection systems to prevent potentially inaccurate information from appearing in knowledge panels. On rare occasions, instances of vandalism on Wikipedia can slip through. Only a small proportion of edits from Wikipedia are potential vandalism, and we’ve improved our systems to now detect 99 percent of those cases. If these issues do appear, we have policies that allow us to take action quickly to address them.

To further support the Wikipedia community, we created the WikiLoop program last year that hosts several editor tools focused on content quality. This includes WikiLoop DoubleCheck, one of a number tools Wikipedia editors and users can use to track changes on a page and flag potential issues. We contribute data from our own detection systems, which members of the community can use to uncover new insights.  

Helpful context from fact checks and Full Coverage

We design Search and News to help you see the full picture, by helping you easily understand the context behind information you might find online. We make it easy to spot fact checks in Search, News and, most recently, Google Images by displaying fact check labels. These fact checks and labels come from publishers that use ClaimReview schemato mark up fact checks they have created. This year to date, people have seen fact checks on Search and News more than 4 billion times, which is more than all of 2019 combined. 

We understand the importance of the fact checking ecosystem in debunking misleading information, which is why we recently donated an additional $6.5 million to help fact checking organizations and nonprofits focus on misinformation about the pandemic.

We also just launched an update using our BERT language understanding models to improve the matching between news stories and available fact checks. These systems can better understand whether a fact check claim is related to the central topic of a story, and surface those fact checks more prominently in Full Coverage—a News feature that provides a complete picture of how a story is reported from a variety of sources. With just a tap, Full Coverage lets you see top headlines from different sources, videos, local news reports, FAQs, social commentary, and a timeline for stories that have played out over time.

Expanded protections for Search features

We have policies for what can appear in Search features like featured snippets, lists or  video previews that uniquely highlight information on the search results page. One notable example is Autocomplete, which helps you complete your search more quickly.

We have long-standing policies to protect against hateful and inappropriate predictions from appearing in Autocomplete. We design our systems to approximate those policies automatically, and have improved our automated systems to not show predictions if we detect that the query may not lead to reliable content. These systems are not perfect or precise, so we enforce our policies if predictions slip through.

We expanded our Autocomplete policies related to elections, and we will remove predictions that could be interpreted as claims for or against any candidate or political party. We will also remove predictions that could be interpreted as a claim about participation in the election—like statements about voting methods, requirements, or the status of voting locations—or the integrity or legitimacy of electoral processes, such as the security of the election. What this means in practice is that predictions like “you can vote by phone” as well as “you can't vote by phone,” or a prediction that says “donate to” any party or candidate, should not appear in Autocomplete. Whether or not a prediction appears, you can still search for whatever you’d like and find results. 

Information online is constantly changing—as are the things people search for—so continuing to deliver high-quality information is an area of ongoing investment. We’ve made great strides and built upon successful improvements to our systems, and we’ll continue to look for new ways to make Search and News as reliable and helpful as possible, no matter what you’re looking for.

Source : The Official Google Blog via Source information

[abarero]

Mall!AU has a vague outline now. Mostly figuring out some major events, but also Yuuri’s ballet seasons. Which of course resulted in me getting in a wikiloop on various ballets that completely tanked my chances of writing last night, but has educated me far more on ballet than I previously knew. So yay research.

[aliceleonz]

Writing music, and arranging vocal, or build backing vocal have it’s own pleasure, it always takes me to my wonderland. I work as a session singer/ songwriter, If you need my services check out my website

I also love to jamming and collaborating with other musicians, and I’m part of some musician online community: Indaba, Kompoz, Wikiloops, Procollabs, etc

Some of my showcase

[portallatrorecords]

Wikiloops Declassified Release - Knower

[arapa-music]

ARAPA Music at 89 years old #heidimariearapa #arapamusic #electronicmusicproducer #composer #remixer #producer #australianclassicalmusiccharts #musician #artist #soundcloud #reverbnation #wikiloops #sydney #australia (at Sydney, Australia) https://www.instagram.com/p/B3klR47HzRr/?igshid=iefi33a9xfb2

[keitona]

Milk, Bread, and Honey Jump

Check it out !!!

http://www.wikiloops.com/backingtrack-jam-35070.php

[arapa-music]

#wikiloops #collaboration #screenshot # (at Sydney, Australia) https://www.instagram.com/p/CHVwAWRHMWe/?igshid=8j7wba1zlij6

[arapa-music]

#newcollaboration #wikiloops #arapamusic #originalvocals #originallyrics #attheendoftheday #womeninmusicproduction #producer #singer #lyricist #sydney #australia #heidimariearapa #itsnotwhatyouhave (at Sydney, Australia) https://www.instagram.com/p/CHVvTuWnl9O/?igshid=n8gjdvmscw30