The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Understanding the Political Representativeness of Twitter Users
Abstract
In this article, we analyze the structure and content of the political conversations that took place through the microblogging platform Twitter in the context of the 2011 Spanish legislative elections and the 2012 U.S. presidential elections. Using a unique database of nearly 70 million tweets collected during both election campaigns, we find that Twitter replicates most of the existing inequalities in public political exchanges. Twitter users who write about politics tend to be male, to live in urban areas, and to have extreme ideological preferences. Our results have important implications for future research on the relationship between social media and politics, since they highlight the need to correct for potential biases derived from these sources of inequality.
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Citations
Cites
Twitter mood predicts the stock market
Bollen, J., Mao, H., & Zeng, X. (2011) · Journal of Computational Science · doi:10.1016/j.jocs.2010.12.007 · Cited by 5,206
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Earthquake shakes Twitter users: real-time event detection by social sensors
Sakaki, T., Okazaki, M., & Matsuo, Y. (2010) · Proceedings of the 19th international conference on World wide web · doi:10.1145/1772690.1772777 · Cited by 3,640
Natural language processing with Python
Bird, S., Klein, E., & Loper, E. (2009) · CERN Document Server (European Organization for Nuclear Research) · Cited by 3,468
Measuring user influence in twitter: The million follower fallacy
Cha, M., Haddadi, H., Benevenuto, F., & Gummadi, K. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14033 · Cited by 3,022
Party Systems and Voter Alignments. Cross National Perspectives
Birnbaum, P., Lipset, S., & Rokkan, S. (1968) · Revue Française de Sociologie · doi:10.2307/3320570 · Cited by 2,801
Predicting Elections with Twitter: What 140 Characters Reveal about Political Sentiment
Tumasjan, A., Sprenger, T., Sandner, P., & Welpe, I. (2010) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v4i1.14009 · Cited by 2,649
The political blogosphere and the 2004 U.S. election: divided they blog
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Predicting the future with social media
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From Tweets to Polls: Linking Text Sentiment to Public Opinion Time Series
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Cited by
Tucker, J. A., Guess, A., Barbera, P., Vaccari, C., Siegel, A., Sanovich, S., Stukal, D., & Nyhan, B. (2018) · doi:10.2139/ssrn.3144139 · Cited by 1,222
Mellon, J., & Prosser, C. (2017) · Research & Politics · doi:10.1177/2053168017720008 · Cited by 396
Social Media, Echo Chambers, and Political Polarization
Barberá, P. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.004 · Cited by 373
Self-citationSocial Media data: Challenges, opportunities and limitations in urban studies
Martí, P., Serrano-Estrada, L., & Nolasco-Cirugeda, A. (2019) · Computers, Environment and Urban Systems · doi:10.1016/j.compenvurbsys.2018.11.001 · Cited by 325
Misinformation, Disinformation, and Online Propaganda
Guess, A. M., & Lyons, B. A. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.003 · Cited by 284
Metadata
- Authors
- Barberá, P., & Rivero, G.
- Venue
- Social Science Computer Review
- Publisher
- SAGE Publications
- Published
- 2014-12
- Volume
- 33
- Issue
- 6
- Pages
- 712-729
- ISSN
- 0894-4393 (ISSN-L)
- 1552-8286
- OpenAlex
- W2154321364
- Cited by
- 379
- References
- 47
- FWCI
- 43.35
- Type
- journal article
- Language
- en
- Open access
- closed
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