Valence-based homophily on Twitter: Network Analysis of Emotions and Political Talk in the 2012 Presidential Election
| Autor: | Matthew Danelo, Itai Himelboim, Kate West, Kaye D. Sweetser, Spencer F. Tinkham, Kristen Cameron |
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| Rok vydání: | 2014 |
| Předmět: |
Sociology and Political Science
Conceptualization Presidential election Communication 05 social sciences Opposition (politics) 050801 communication & media studies Homophily 0506 political science Politics 0508 media and communications 050602 political science & public administration Criticism Valence (psychology) Psychology Social psychology Network analysis |
| Zdroj: | New Media & Society. 18:1382-1400 |
| ISSN: | 1461-7315 1461-4448 |
| DOI: | 10.1177/1461444814555096 |
| Popis: | This study integrates network and content analyses to examine valence-based homophily on Twitter or the tendency for individuals to interact with those expressing similar valence. During the 2012 federal election cycle, we collected Twitter conversations about 10 controversial political topics and mapped their network ties. Using network analysis, we discovered clusters—subgroups of highly self-connected users—and coded messages in each cluster for their expressed positive-to-negative emotional valence, level of support or opposition, and political leaning. We found that valence-based homophily successfully explained the selection of user interactions on Twitter, in terms of expressed emotional valence in their tweets or support versus criticism to an issue. It also finds conservative voices to be associated with negatively valenced clusters and vice versa. This study expands the theory of homophily beyond its traditional conceptualization and provides a new understanding of political-issue interactions in a social media context. |
| Databáze: | OpenAIRE |
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