Dados Bibliográficos

AUTOR(ES) Y. Yang , M. MacDonald , B. Chen , J. Suk , Josephine Lukito , Marie-Annette Brown , Stephen Prochaska , Jason Greenfield , Wei Zhong , Ross Dahlke , Porismita Borah
AFILIAÇÃO(ÕES) Texas A&M University, USA, University of Kentucky, The University of Hong Kong, Hong Kong, University of Connecticut, USA, The University of Texas at Austin, University of Michigan, Ann Arbor, University of Washington School of Medicine, York University, University of Wisconsin-Madison, USA, Washington State University Pullman
ANO 2025
TIPO Artigo
PERIÓDICO Social Media + Society
ISSN 2056-3051
E-ISSN 2056-3051
DOI 10.1177/20563051251337541
ADICIONADO EM 2025-08-18

Resumo

In this multi-platform, comparative study, we analyze social media messages from political candidates ( N = 1,517) running for Congress during the 2022 U.S. Midterm election. We collect data from seven social media platforms: Facebook, Twitter, Truth Social, Gettr, Instagram, YouTube, and Rumble over the 4 weeks before and after election day. With this unique dataset of posts, we apply computational methods to identify messages that sought to mobilize individuals (online and offline) to donate money, vote, attend events, engage with the campaign online, and visit the campaign's content on other platforms. We find that Democrats were not on alt-tech platforms in 2022 and that both Republicans and Democrats use video-based platforms for multiple mobilization strategies. Mobilization messages varied for House and Senate candidates of both parties across platforms, before and after election day.

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