Partisan Asymmetries in Online Political Activity
Autor: | Conover, Michael D., Gonçalves, Bruno, Flammini, Alessandro, Menczer, Filippo |
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Rok vydání: | 2012 |
Předmět: | |
Zdroj: | EPJ Data Science 1, 6 (2012) |
Druh dokumentu: | Working Paper |
DOI: | 10.1140/epjds6 |
Popis: | We examine partisan differences in the behavior, communication patterns and social interactions of more than 18,000 politically-active Twitter users to produce evidence that points to changing levels of partisan engagement with the American online political landscape. Analysis of a network defined by the communication activity of these users in proximity to the 2010 midterm congressional elections reveals a highly segregated, well clustered partisan community structure. Using cluster membership as a high-fidelity (87% accuracy) proxy for political affiliation, we characterize a wide range of differences in the behavior, communication and social connectivity of left- and right-leaning Twitter users. We find that in contrast to the online political dynamics of the 2008 campaign, right-leaning Twitter users exhibit greater levels of political activity, a more tightly interconnected social structure, and a communication network topology that facilitates the rapid and broad dissemination of political information. Comment: 17 pages, 10 figures, 6 tables |
Databáze: | arXiv |
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