Meta AI, the artificial intelligence unit of Meta Platforms has developed what it believes is a machine learning model that can simultaneously scan hundreds of thousands of Wikipedia citations to check their accuracy. While the Wikimedia Foundation, which runs Wikipedia, already uses bots, Meta’s proposal would be more extensive than anything currently deployed. Trained using a dataset of 4 million Wikipedia citations, the new Meta AI tool analyzes the linked references, verifying corroboration. With more than 17,000 new Wikipedia articles added each month, this is no small feat. Continue reading Meta Developing a Neural Network to Turbocharge Wikipedia

Meta Platforms has unveiled Sphere, an AI-powered tool designed to verify open web content. “Building on Meta AI’s research and advancements, we’ve developed the first model capable of automatically scanning hundreds of thousands of citations at once to check whether they truly support the corresponding claims,” Meta says, noting that Sphere has “a dataset of 134 million public webpages — an order of magnitude larger and significantly more intricate than ever used for this sort of research.” Sphere is open sourced, which means third parties may be able to tailor its fact-checking algorithms for specialized use, such as legal, medical and architectural. Continue reading Meta’s New Sphere AI Tool Filters Web Content for Accuracy

Wikimedia Enterprise has announced Google and the Internet Archive as its first customers. The Wikimedia Foundation launched the enterprise unit last year as a paid service for clients that source and reuse Wikipedia data at high volume. Google has been using Wikipedia content to fuel its search engine results. Wikimedia Enterprise clients have access to custom APIs that allow it to scrape and utilize data more efficiently and at greater scale. The service also provides guaranteed uptime and real-time content updates, minimizing outdated or inaccurate information. Continue reading Google Is the First Paying Customer of Wikimedia Enterprise

ProPublica journalist Julia Angwin has worked with programmers and data scientists to uncover the algorithms used by big tech companies such as Facebook and how these tools can be used to promote scams, racial bias and extremist content. Now, with a $20 million gift from Craigslist founder Craig Newmark, Angwin and data journalist Jeff Larson are starting The Markup, a new site focused on investigating technology and its impact on society. Wikimedia Foundation former head Sue Gardner will be executive director. Continue reading Journalists Unveil The Markup to Investigate Tech Algorithms

The European Parliament adopted a draft copyright bill to require tech platforms to pay more for music and news produced by media companies. If the law passes, EU countries will have two years to comply. Tech companies continue to fight against the bill’s final adoption; EDiMA, a trade group representing Amazon, Apple, Facebook and Google among others, stated that the EU “decided to support the filtering of the Internet to the benefit of big businesses in the music and publishing industries despite huge public outcry.” Continue reading European Parliament Advances Copyright Bill Despite Critics

Under pressure from lawmakers, regulators, and some of its two billion monthly active users to fight misinformation, Facebook is tweaking how information is presented on its News Feed. Users in the U.S. will now be able to easily see a news publisher’s Wikipedia page along with a given story and can see how frequently it’s been shared on the social network. Facebook is under renewed criticism following reports that Cambridge Analytica “improperly accessed data on millions of Facebook users,” reports The Wall Street Journal.

Continue reading Changes to Facebook News Feed Plan to Curb Misinformation