In this discussion, Tom Cheshire, a Data and Forensics correspondent, and Kaitlin Tosh, a Digital Investigations journalist, dive into how X's algorithm may be fostering a right-wing shift among users. They explore the implications of their investigation, highlighting that 62% of content served leans right, often featuring extreme language. The duo explains their innovative testing methods using AI on tweets and raises questions about algorithmic transparency, free speech, and the societal impacts of such biases in information dissemination.
