The DOI matches its Crossref record; 48 of the 48 references it cites were found in a registry or an index.
The Rise of Twitter in the Political Campaign: Searching for Intermedia Agenda-Setting Effects in the Presidential Primary
Open accessAbstract
Questions exist over the extent to which social media content may bypass, follow, or attract the attention of traditional media. This study sheds light on such dynamics by examining intermedia agenda-setting effects among the Twitter feeds of the 2012 presidential primary candidates, Twitter feeds of the Republican and Democratic parties, and articles published in the nation's top newspapers. Daily issue frequencies within media were analyzed using time series analysis. A symbiotic relationship was found between agendas in Twitter posts and traditional news, with varying levels of intensity and differential time lags by issue. While traditional media follow candidates on certain topics, on others they are able to predict the political agenda on Twitter.
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Cited by
Feezell, J. T. (2018) · Political Research Quarterly · doi:10.1177/1065912917744895 · Cited by 447
The diffusion of misinformation on social media: Temporal pattern, message, and source
Shin, J., Jian, L., Driscoll, K., & Bar, F. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.02.008 · Cited by 401
Social Media, Echo Chambers, and Political Polarization
Barberá, P. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.004 · Cited by 373
Misinformation, Disinformation, and Online Propaganda
Guess, A. M., & Lyons, B. A. (2020) · Social Media and Democracy · doi:10.1017/9781108890960.003 · Cited by 284
Zhang, Y., Wells, C., Wang, S., & Rohe, K. (2018) · New Media & Society · doi:10.1177/1461444817744390 · Cited by 155
Metadata
- Authors
- Conway, B. A., Kenski, K., & Wang, D.
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-05-11
- Volume
- 20
- Issue
- 4
- Pages
- 363-380
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W1497571527
- Cited by
- 395
- References
- 48
- FWCI
- 90.12
- Type
- journal article
- Language
- en
- Open access
- bronze
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
