Who supports Bernie? Analyzing identity and ideological variation on Twitter during the 2020 democratic primaries

Author:

Shuster Stef M.,Campos-Castillo Celeste,Madani Navid,Joseph KennethORCID

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.

Funder

National Science Foundation

Office of Naval Research

Publisher

Public Library of Science (PLoS)

Reference83 articles.

1. Political Ideology: Its Structure, Functions, and Elective Affinities;JT Jost;Annual review of psychology,2009

2. What a Good Idea! Ideologies and Frames in Social Movement Research;P Oliver;Mobilization: An International Quarterly,2000

3. Value Resonance and Value Framing Effects on Voting Intentions in Direct-Democratic Campaigns;C Schemer;American Behavioral Scientist,2012

4. Frame Alignment Processes, Micromobilization, and Movement Participation;DA Snow;American sociological review,1986

5. Collective Identity and Social Movements;F Polletta;Annual review of Sociology,2001

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3