在线代表的不平等:谁在 Twitter 上关注自己的国会议员?

Stefan McCabe, Jon Green, Pranav Goel, D. Lazer
{"title":"在线代表的不平等:谁在 Twitter 上关注自己的国会议员?","authors":"Stefan McCabe, Jon Green, Pranav Goel, D. Lazer","doi":"10.51685/jqd.2023.021","DOIUrl":null,"url":null,"abstract":"Members of Congress increasingly rely on social media to communicate with their constituents and other members of the public in real time. However, despite their increased use, little is known about the composition of members' audiences in these online spaces. We address these questions using a panel of Twitter users linked to their congressional district of residence through administrative data. We provide evidence that Twitter users who followed their own representative in the 115th, 116th, and 117th Congresses were generally older and more partisan, and live in wealthier areas of those districts, compared to those who did not. We further find that shared partisanship and shared membership in historically marginalized groups are associated with an increased probability of a constituent following their congressional representative. These results suggest that the efficiency of communication offered by social media reproduces, rather than alters, patterns of political polarization and class inequalities in representation observed offline.","PeriodicalId":93587,"journal":{"name":"Journal of quantitative description: digital media","volume":"50 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2023-12-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Inequalities in Online Representation: Who Follows Their Own Member of Congress on Twitter?\",\"authors\":\"Stefan McCabe, Jon Green, Pranav Goel, D. Lazer\",\"doi\":\"10.51685/jqd.2023.021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Members of Congress increasingly rely on social media to communicate with their constituents and other members of the public in real time. However, despite their increased use, little is known about the composition of members' audiences in these online spaces. We address these questions using a panel of Twitter users linked to their congressional district of residence through administrative data. We provide evidence that Twitter users who followed their own representative in the 115th, 116th, and 117th Congresses were generally older and more partisan, and live in wealthier areas of those districts, compared to those who did not. We further find that shared partisanship and shared membership in historically marginalized groups are associated with an increased probability of a constituent following their congressional representative. These results suggest that the efficiency of communication offered by social media reproduces, rather than alters, patterns of political polarization and class inequalities in representation observed offline.\",\"PeriodicalId\":93587,\"journal\":{\"name\":\"Journal of quantitative description: digital media\",\"volume\":\"50 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-12-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of quantitative description: digital media\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.51685/jqd.2023.021\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of quantitative description: digital media","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.51685/jqd.2023.021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

国会议员越来越依赖社交媒体与其选民和其他公众进行实时沟通。然而,尽管社交媒体的使用越来越多,人们对议员在这些网络空间中的受众构成却知之甚少。我们使用一个通过行政数据与其居住的国会选区相关联的 Twitter 用户面板来解决这些问题。我们提供的证据表明,在第 115 届、第 116 届和第 117 届国会中关注自己代表的推特用户与不关注的用户相比,通常年龄更大、党派色彩更浓,而且居住在这些选区中更富裕的地区。我们进一步发现,共同的党派立场和历史上被边缘化群体的共同成员身份与选民追随其国会代表的概率增加有关。这些结果表明,社交媒体提供的沟通效率再现而非改变了线下观察到的政治两极化和代表中的阶级不平等模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Inequalities in Online Representation: Who Follows Their Own Member of Congress on Twitter?
Members of Congress increasingly rely on social media to communicate with their constituents and other members of the public in real time. However, despite their increased use, little is known about the composition of members' audiences in these online spaces. We address these questions using a panel of Twitter users linked to their congressional district of residence through administrative data. We provide evidence that Twitter users who followed their own representative in the 115th, 116th, and 117th Congresses were generally older and more partisan, and live in wealthier areas of those districts, compared to those who did not. We further find that shared partisanship and shared membership in historically marginalized groups are associated with an increased probability of a constituent following their congressional representative. These results suggest that the efficiency of communication offered by social media reproduces, rather than alters, patterns of political polarization and class inequalities in representation observed offline.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信