Independent research shows that X's (Twitter's) algorithm can influence political polarisation
A US research team has devised a method that uses a browser extension to alter the algorithm of X (formerly Twitter) to study its impact on user behaviour. In a 10-day experiment with 1,256 volunteers during the 2024 US presidential campaign, they used the method to vary the content expressing anti-democratic attitudes and partisan hostility. According to the authors, the results—published in Science—provide causal evidence that greater or lesser exposure to this type of content alters polarisation in the same way. Their conclusions contradict previous research published in the same journal, which found no such relationship on Facebook or Instagram. In that case, the study was conducted in collaboration with and funded by Meta.