Shifting Polarization and Twitter News Influencers between two U.S. Presidential Elections
James Flamino, Alessandro Galezzi, Stuart Feldman, Michael W. Macy,, Brendan Cross, Zhenkun Zhou, Matteo Serafino, Alexandre Bovet, Hernan A., Makse, Boleslaw K. Szymanski

TL;DR
This study examines how polarization and influential Twitter users shifted between the 2016 and 2020 U.S. presidential elections, revealing increased polarization and changes in influencer composition.
Contribution
It provides a detailed analysis of the evolution of political influence and polarization on Twitter across two major U.S. elections, highlighting the changing landscape of influencers.
Findings
Increased polarization among influencers and their audiences from 2016 to 2020.
Most top influencers remained media-affiliated, but new influential groups emerged.
75% of top influencers in 2020 were new compared to 2016.
Abstract
Social media are decentralized, interactive, and transformative, empowering users to produce and spread information to influence others. This has changed the dynamics of political communication that were previously dominated by traditional corporate news media. Having hundreds of millions of tweets collected over the 2016 and 2020 U.S. presidential elections gave us a unique opportunity to measure the change in polarization and the diffusion of political information. We analyze the diffusion of political information among Twitter users and investigate the change of polarization between these elections and how this change affected the composition and polarization of influencers and their retweeters. We identify "influencers" by their ability to spread information and classify them into those affiliated with a media organization, a political organization, or unaffiliated. Most of the top…
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Taxonomy
TopicsSocial Media and Politics · Misinformation and Its Impacts · Opinion Dynamics and Social Influence
