Fearing the company’s new management, researchers frantically completed studies on misinformation and algorithmic bias, then rushed to publish them online.
At the time Yee studied it, Twitter’s marginal abuse system scored tweets for content considered insulting or malicious, or that encouraged dangerous behavior. The company trained it on a sample of tweets it hired people to rate.
The adjusted model wrongly flagged tweets less often for some of the terms without substantially worsening the system’s overall ability to predict whether something was actually problematic. Although the improvements were small and not universal, the team considered the adjusted model better and deployed it onto Twitter mid-2022. Yee says the update laid a foundation for future research and updates.
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