Fake news may not have played as big a role in the French election as it did in the U.S., but that doesn't mean Facebook has solved the problem.

Facebook intends to use its collection of reviewer ratings of photos and videos to improve the accuracy of its machine-learning model in detecting misinformation in these media formats.

A new study from UT Austin’s McCombs School of Business found that people aren’t as good at detecting fake news on Facebook as they think they are. Skip to content. KXAN Austin.

Facebook's promise to fight fake news is finally starting to work. Well, sort of. It depends on where you look. Almost two years after the company vowed to start taking its fake news problem ...

Facebook was then criticized for fake stories becoming trends, and the New York Times reports “The Trending Topics episode paralyzed Facebook’s willingness to make any serious changes to its ...

Facebook is still perfecting its technology for detecting deepfakes, but says “this work will give researchers and practitioners tools to better investigate incidents of coordinated ...

The fake news dilemma dates back centuries, ... A Survey," looks at the challenges associated with detecting fake news, ... Fact-checking fake news on Facebook works - just too slowly. Oct 16, ...

In 2016, Facebook began using third-party fact-checkers to place warnings on stories with “disputed” accuracy. However, the study found the "disputed" tag basically “had no effect.” ...

Deepfakes are becoming so convincing that it's hard to tell them from real videos. And that could soon spell disaster, eroding trust in what we see online. That's why Facebook is teaming up with a ...

In early 2017, the NATO Strategic Communications Centre of Excellence held a one-day event inviting participants to come up with ideas to detect fake news. The gathering in Riga (Latvia) attracted ...

As Facebook continues to roil over the idea that fake news on the social network could have had any effect on the U.S. presidential election, one Chrome extension is stepping in. . The "B.S ...

In 2019, Facebook took down on average close to 2 billion fake accounts per quarter. Fraudsters use these fake accounts to spread spam, phishing links, or malware. It’s a lucrative business that ...