Facebook + the machine against fake
Facebook is upping its game against fake news. The social network says the fact-checking initiative it rolled out a few months ago is now up and running across 14 countries and is leaning on machine-learning tech to counter fake stories.
The company isn’t doing this alone, of course. In the US, for example, Facebook is working with the likes of Associated Press, Factcheck.org, and the Weekly Standard to do the job, while over in France its AFP and Libération, in Germany Corectiv.
Each fact-checking third party looks to verify the accuracy of the story and provide a rating below according to six options:
1 False The primary claim(s) in the article are factually inaccurate
2 Mixture The claim(s) in the article are a mix of accurate and inaccurate or the article is misleading or incomplete
3 True The primary claim(s) in the article are factually accurate
4 Not Rated The default state before fact-checking an article (so no action is taken based on the rating)
5 Not Eligible The information in the article is not eligible to be fact-checked
6 Prank Generator From websites that allow users to create their own prank news stories to share on social media sites.
The social network says its certified, independent fact-checkers have helped it reduce the distribution of stories rated as false by an average of 80%.
“Pages that repeatedly share false news see will their distribution reduced and their ability to monetize and advertise removed,” Facebook warns.
It adds that to help curb foreign interference in public discourse, “we are beginning to use machine learning to help identify and demote foreign pages that are likely to spread financially-motivated hoaxes to people in other countries.”