This study analyzes the evolution of Twitter's news media landscape during the 2016 and 2020 US presidential elections using nearly a billion tweets. It measures the volume of politically biased content and identifies influential users. While the fraction of fake and extremely biased content decreased, the study reveals increasing echo chamber behaviors and latent ideological polarization at both user and influencer levels.
Publisher
Nature Human Behaviour
Published On
Jun 01, 2023
Authors
James Flamino, Alessandro Galeazzi, Stuart Feldman, Michael W. Macy, Brendan Cross, Zhenkun Zhou, Matteo Serafino, Alexandre Bovet, Hernán A. Makse, Bolesław K. Szymański
Tags
Twitter
US presidential elections
political bias
echo chambers
ideological polarization
social media analysis
influential users
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