Let the Hunger Games Begin!
To stop "fake news and disinformation" Twitter's new CEO: Parag Agrawal (in 2019) purchased "Fabula AI." FabulaAI relies on data from third-party fact-checkers like Snopes and PolitiFact.
That's all you need to know.
https://twitter.com/No__Fear__/status/1465370007140024321?s=20
Americans rate fake news as a bigger problem than terrorism. Can Twitter solve the problem?
Twitter is investing in artificial intelligence to solve its fake news problem. The social media company bought London-based startup Fabula AI, Twitter's chief technology officer, Parag Agrawal, announced in a June 3 blog post.
By Erica Evans@Erica_Lee_Evans Jun 11, 2019, 10:00pm MDT
Now, Twitter is turning to artificial intelligence to help solve the problem. (They trained leftist AI's that have no ability to distinguish fact from fiction)
The social media company bought Fabula AI, a London-based startup that uses artificial intelligence to automatically detect fake news, Twitter's chief technology officer, Parag Agrawal, announced in a June 3 blog post. The financial terms of the deal between Twitter and Fabula have not been disclosed.
"This strategic investment … will be a key driver as we work to help people feel safe on Twitter and help them see relevant information," Agrawal wrote.
The acquisition comes at a time when fake news and disinformation are frequently being deployed as weapons in political warfare. The U.S. government concluded that Russians led a systematic campaign to interfere with the 2016 presidential election using fake social media posts, advertising and videos that seized on divisive issues like race relations, immigration and gun rights. More recently, an edited video made House Speaker Nancy Pelosi appear impaired or drunk, a doctored image suggested Sen. Elizabeth Warren had a racist doll decorating her kitchen cabinet, and false stories have circulated claiming Sen. Kamala Harris had an affair with a married man and accusing South Bend, Indiana, Mayor Pete Buttigieg of sexual assault.
“The impact of made-up news goes beyond exposure to it and confusion about what is factual,” Amy Mitchell, director of journalism research at Pew Research Center, told the Guardian. It could be an article with one inaccurate sentence or an article with no truths at all.
Two years ago, Facebook founder Mark Zuckerberg wrote an open letter that said ending the spread of "fake news" would take "many years" because it would require the development of artificial intelligence "that can read and understand news."Fabula, however, has taken a different approach, one that Agrawal calls "novel." The company's algorithms analyze how fake news spreads rather than the content itself.
"There is … a mounting amount of evidence that shows that fake news and real news spread differently,” Fabula co-founder and computing professor at Imperial College London, Michael Bronstein, told TechCrunch. He pointed to a 2018 study by researchers at Massachusetts Institute of Technology that found false news spreads "farther, faster, deeper and more broadly" than true news. Another Fabula co-founder, Damon Mannion, defines fake news as "stories published on social media containing intentionally false information." To check for accuracy, Fabula relied on data from third-party fact-checkers like Snopes and PolitiFact.
Using machine learning — or computer programs that don't rely on explicit instructions but rather make inferences by analyzing patterns in data — Fabula can detect 93 percent of fake news within hours of dissemination, Bronstein told TechCrunch. And in contrast to traditional machine learning techniques, Fabula's patented technology works on datasets that are extremely large and complex — think millions of tweets, likes and retweets every single day.
"Our initial focus when Fabula joins the Twitter team will be to improve the health of the conversation, with expanding applications to stop spam and abuse and other strategic priorities in the future," Agrawal wrote.
https://www.deseret.com/2019/6/12/20675453/americans-rate-fake-news-as-a-bigger-problem-than-terrorism-can-twitter-solve-the-problem#computer-screens-display-the-fake-tweets-that-online-users-could-self-generate-at-a-chinese-website-in-beijing-china-thursday-jan-26-2017-online-users-were-flocking-to-a-new-chinese-website-that-lets-them-generate-images-of-fake-tweets-that-look-just-like-those-sent-by-president-donald-trumps-distinctive-personal-twitter-account-replete-with-his-avatar-and-a-real-time-timestamp