Department of Sociology and Criminology, Pennsylvania State University, University Park, PA, United States of America.
PLoS One. 2024 Mar 21;19(3):e0289041. doi: 10.1371/journal.pone.0289041. eCollection 2024.
Social movements and their respective countermovements have evolved to use online social media platforms to recruit followers, share pertinent information, discuss relevant issues, and draw the attention of political figures. Movements' strategic use of Twitter has increasingly been studied, though there are relatively few studies that compare social movements and their corresponding countermovements simultaneously. We examine engagement in the #DefundthePolice social movement and #DefendthePolice countermovement in a Twitter network comprised of retweets using both hashtags from August 2020 to January 2021. Text and sentiment analysis as well as a content analysis of a random sample of retweets in the network's 20 largest subgroups reveal four key patterns. First, information commonly communicated in historical social movements is communicated in the online, Twitter network. Second, the use of movement and countermovement hashtags to criticize is common, suggesting Twitter engagement with the movement/countermovement is not a sufficient indicator of support for the movement. Third, social movements are inextricably embedded in politics, with political discourse present in all the 20 largest subgroups. Finally, though we do not include geo-tagged tweets in the analysis, physical geography is key theme in multiple subgroups. Broadly, our findings demonstrate the breadth of topics communicated within movement networks and highlight the importance of qualitatively examining Twitter data in the study of social movements.
社会运动及其各自的对立面已经发展到利用在线社交媒体平台来招募追随者、分享相关信息、讨论相关问题,并引起政治人物的关注。虽然有越来越多的研究关注运动在 Twitter 上的战略运用,但同时比较社会运动及其对应对立面的研究相对较少。我们研究了 2020 年 8 月至 2021 年 1 月期间在一个包含转发使用两个标签的 Twitter 网络中,#取消警察经费#社会运动和#保卫警察#反运动的参与情况。对网络中 20 个最大子群中的随机样本的转发进行文本和情感分析以及内容分析,揭示了四个关键模式。首先,历史社会运动中常见的信息在在线 Twitter 网络中得到了传达。其次,共同使用运动和反运动标签进行批评很常见,这表明在 Twitter 上参与运动/反运动并不足以作为支持运动的指标。第三,社会运动与政治密不可分,所有 20 个最大的子群都存在政治话语。最后,尽管我们在分析中不包括带有地理标签的推文,但地理位置是多个子群的关键主题。总的来说,我们的研究结果展示了运动网络中传达的广泛主题,并强调了在社会运动研究中定性分析 Twitter 数据的重要性。