polarization

On social network X (formerly Twitter), when users select the ‘for you’ option, the algorithm tends to steer them towards more conservative political options, according to research conducted with nearly 5,000 participants in the United States in 2023. The authors randomly assigned users to either an algorithmic or chronological feed for seven weeks. The switch from chronological to algorithmic feed increased engagement and shifted political opinion towards more conservative positions, especially on political priorities, perceptions of criminal investigations into Donald Trump, and opinions on the war in Ukraine. Conversely, switching from the algorithmic feed to the chronological feed had no comparable effects. ‘Initial exposure to X's algorithm has persistent effects on users' current political attitudes,’ say the authors of the study, published in Nature.

Two research teams, with some authors in common, have shown in two separate studies that interaction with chatbots using artificial intelligence (AI) can significantly change a voter's opinion about a presidential candidate or a policy proposal. One of the studies, published in Nature, was conducted in three countries (the US, Canada, and Poland), while the other, developed in the UK, is published in Science. Both studies reach the same conclusion: the persuasive power of these tools stems less from psychological manipulation than from the accumulation of fact-based claims that support their position. However, this information is not always accurate, and the greater the persuasive power, the greater the inaccuracy and fabrication.