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This is an archive article published on August 29, 2016

Facebook fires editorial staff of Trending Topics section: Report

Facebook is letting go of the entire team that was handling Trending Topics on the website.

Facebook, Facebook Trending topics, Facebook trending topics controversy, Facebook fires staff, Facebook fires Trending staff, Facebook bias, Facebook trending bias, social media, technology, technology news Facebook Trending Topics will be more automated and will no longer require people to write descriptions.

Facebook Trending Topics will be more automated and will no longer require people to write descriptions, the company announced in a blog post on Friday. Now, a report on Quartz says the social media giant has fired close to 18 editors who worked for Facebook’s Trending section. According to the site, the editorial staff was hired through third-party.

“According to sources, the Trending team’s editorial staff were alerted at 4pm that they were being fired—as the news of Facebook’s switch to algorithms first broke—and were asked to leave the building by 5pm,” the Quartz report said. It adds the editors completed just over a year before being fired by Facebook.

Facebook changed its Trending Topics feature to make it AI driven. Though Facebook has made Trending feature more algorithmically driven, there still are people involved in this process. Facebook made these changes to its Trending Topics feature after it faced criticism earlier this year over claims the service was suppressing conservative views. A Gizmodo report published in May had claimed that links to ‘conservative articles’ in the ‘Trending’ Topics Section were suppressed, a charge Facebook had denied. Zuckerberg had then met conservative leaders in the US in order to address concerns raised by the report.

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Facebook said at the time it had looked into these claims, and found no evidence of systematic bias. Post changes, Trending Topics section now shows the name of the trending topic along with the number of users talking about it, which is similar to how Twitter displays results around a Hashtag. Earlier, the trending topics appeared with a short description only.

Also read: Facebook to make ‘Trending Topics’ more automated

However, Facebook’s increased reliability on AI comes with its own shortcomings. A study published by Princeton University and the University of Bath says addressing bias in machine learning is harder. “Unfortunately, our work points to several additional reasons why addressing bias in machine learning will be harder than one might expect,” the study says. “Our results suggest that word embeddings don’t merely pick up specific, enumerable biases such as gender stereotypes, but rather the entire spectrum of human biases reflected in language,” it adds.

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