Twitter has earned praise for transparency after it published “unflattering” research findings. The company analyzed “millions of Tweets” in an attempt to measure how its recommendation algorithms handle political content, and subsequently reported that it amplifies more content from right-wing politicians and media outlets than from left-wing sources. The findings, which were released in late October, were well-received at a time when social platforms are fast to tout positive findings, but quickly discredit critical data, as was the case with Facebook and whistleblower Frances Haugen. Continue reading Twitter Earns Praise for Transparency in Its Research Findings

Facebook’s internal experiments with turning off its News Feed algorithm revealed that users benefit from the often-controversial ranking system. Documents recently parsed by the news media indicate Facebook’s digital formula knows more about what users want than the users themselves when it comes to deciding which posts people see and in what order. The news comes as both the House of Representatives and Senate consider bills that would require social media platforms to offer users the option of disabling what’s known as “automated content recommendations.” The bills follow whistleblower allegations that Facebook’s News Feed is damaging to users. Continue reading Automated News Feed May Be Good for Facebook and Users