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Who supports Bernie? Analyzing identity and ideological variation on Twitter during the 2020 democratic primaries.
Shuster, Stef M; Campos-Castillo, Celeste; Madani, Navid; Joseph, Kenneth.
Afiliación
  • Shuster SM; Lyman Briggs College and Department of Sociology, Michigan State University, East Lansing, MI, United States of America.
  • Campos-Castillo C; Department of Media & Information, Michigan State University, East Lansing, MI, United States of America.
  • Madani N; Computer Science and Engineering Department, University at Buffalo, Buffalo, NY, United States of America.
  • Joseph K; Computer Science and Engineering Department, University at Buffalo, Buffalo, NY, United States of America.
PLoS One ; 19(4): e0294735, 2024.
Article en En | MEDLINE | ID: mdl-38603640
ABSTRACT
Using a novel dataset of 590M messages by 21M users, we present the first large-scale examination of the behavior of likely Bernie supporters on Twitter during the 2020 U.S. Democratic primaries and presidential election. We use these data to dispel empirically the notion of a unified, stereotypical Bernie supporter (e.g., the "Bernie Bro"). Instead, our work uncovers significant variation in the identities and ideologies of Bernie supporters who were active on Twitter. Our work makes three contributions to the literature on social media and social movements. Methodologically, we present a novel mixed methods approach to surface identity and ideological variation within a movement via use of patterns in who retweets whom (i.e. who retweets which other users) and who retweets what (i.e. who retweets which specific tweets). Substantively, documentation of these variations challenges a trend in the social movement literature to assume actors within a particular movement are unified in their ideology, identity, and values.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Medios de Comunicación Sociales Límite: Humans Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Estados Unidos