Candidate Networks, Citizen Clusters, and Political Expression: Strategic Hashtag Use in the 2010 Midterms

被引:53
作者
Bode, Leticia [1 ]
Hanna, Alexander [2 ]
Yang, Junghwan [3 ]
Shah, Dhavan V. [4 ,5 ,6 ]
机构
[1] Georgetown Univ, Commun Culture & Technol, Dept Govt, Washington, DC 20057 USA
[2] Univ Wisconsin Madison, Sociol, Madison, WI USA
[3] Univ Wisconsin Madison, Dept Journalism & Mass Commun, Madison, WI USA
[4] Univ Wisconsin Madison, Madison, WI USA
[5] Univ Wisconsin Madison, Mass Commun Res Ctr, Madison, WI USA
[6] Sch Journalism & Mass Commun, Ind & Syst Engn Mkt & Polit Sci, Iowa City, IA USA
关键词
campaign communication; hashjacking; online communities; social media; Tea Party; Twitter; U; S; elections; PUBLIC SPHERES; TWITTER; COMMUNICATION; INTERNET; MEDIA;
D O I
10.1177/0002716214563923
中图分类号
D0 [政治学、政治理论];
学科分类号
0302 ; 030201 ;
摘要
Twitter provides a direct method for political actors to connect with citizens, and for those citizens to organize into online clusters through their use of hashtags (i.e., a word or phrase marked with # to identify an idea or topic and facilitate a search for it). We examine the political alignments and networking of Twitter users, analyzing 9 million tweets produced by more than 23,000 randomly selected followers of candidates for the U.S. House and Senate and governorships in 2010. We find that Twitter users in that election cycle did not align in a simple Right-Left division; rather, five unique clusters emerged within Twitter networks, three of them representing different conservative groupings. Going beyond discourses of fragmentation and polarization, certain clusters engaged in strategic expression such as retweeting (i.e., sharing someone else's tweet with one's followers) and hashjacking (i.e., co-opting the hashtags preferred by political adversaries). We find the Twitter alignments in the political Right were more nuanced than those on the political Left and discuss implications of this behavior in relation to the rise of the Tea Party during the 2010 elections.
引用
收藏
页码:149 / 165
页数:17
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