two years ago, Twitter launched what is perhaps the tech industry’s most ambitious attempt at algorithmic transparency. Its researchers wrote papers showing that Twitter’s AI system for cropping images in tweets favored white faces and women, and that posts from the political right in several countries, including the US, UK, and France, received a bigger algorithmic boost than those from the left.
By early October last year, as Elon Musk faced a court deadline to complete his $44 billion acquisition of Twitter, the company’s newest research was almost ready. It showed that a machine-learning program incorrectly demoted some tweets mentioning any of 350 terms related to identity,
→ Continue reading at WIRED
