The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Online Influence? Social Media Use, Opinion Leadership, and Political Persuasion
Abstract
Opinion leaders can be influential in persuading their peers about news and politics, yet their potential influence has been questioned in the social media era. This study tests a theoretical model of attempts at political persuasion within social media in which highly active users (“prosumers”) consider themselves opinion leaders, which subsequently increases efforts to try and change others’ political attitudes and behaviors. Using two-wave U.S. panel survey data (W1 = 1,816; W2 = 1,024), we find prosumers believe they are highly influential in their social networks and are both directly and indirectly more likely to try to persuade others. Our results highlight one theoretical mechanism through which engaged social media users attempt to persuade others and suggest personal influence remains viable within social media.
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Cites
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
Introduction to mediation, moderation, and conditional process analysis :
Hayes, A. F., & names (2015) · Cited by 7,004
Stanton, B. F., & Rogers, E. M. (1963) · Journal of Farm Economics · doi:10.2307/1235767 · Cited by 6,675
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
Why we twitter: understanding microblogging usage and communities
Java, A., Song, X., Finin, T., & Tseng, B. (2007) · Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis · doi:10.1145/1348549.1348556 · Cited by 2,645
A 61-million-person experiment in social influence and political mobilization
Bond, R. M., Fariss, C. J., Jones, J. J., Kramer, A. D. I., Marlow, C., Settle, J. E., & Fowler, J. H. (2012) · Nature · doi:10.1038/nature11421 · Cited by 2,575
The People's Choice: How the Voter Makes Up His Mind in a Presidential Campaign
Lazarsfeld, P. F., Berelson, B., & Gaudet, H. (1968) · Cited by 2,410
Production, Consumption, Prosumption: The nature of capitalism in the age of the digital ‘prosumer’
Ritzer, G., & Jurgenson, N. (2010) · Journal of Consumer Culture · doi:10.1177/1469540509354673 · Cited by 2,075
Personal Influence: The Part Played by People in the Flow of Mass Communications
Roshwalb, I., Katz, E., & Lazarsfeld, P. F. (1956) · Journal of Marketing · doi:10.2307/1247718 · Cited by 1,880
Gil de Zúñiga, H., Jung, N., & Valenzuela, S. (2012) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2012.01574.x · Cited by 1,821
Self-citation
Cited by
Measuring social media influencer index- insights from facebook, Twitter and Instagram
Arora, A., Bansal, S., Kandpal, C., Aswani, R., & Dwivedi, Y. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.03.012 · Cited by 601
Gil de Zúñiga, H., Weeks, B., & Ardèvol-Abreu, A. (2017) · Journal of Computer-Mediated Communication · doi:10.1111/jcc4.12185 · Cited by 594
Self-citationKreiss, D., & MCGREGOR, S. C. (2018) · Political Communication · doi:10.1080/10584609.2017.1364814 · Cited by 398
Frenemies: How Social Media Polarizes America
Settle, J. E. (2018) · doi:10.1017/9781108560573 · Cited by 377
The New Personal Influence: How Our Facebook Friends Influence the News We Read
Anspach, N. M. (2017) · Political Communication · doi:10.1080/10584609.2017.1316329 · Cited by 289
Metadata
- Authors
- Weeks, B. E., Ardèvol-Abreu, A., & Gil de Zúñiga, H.
- Venue
- International Journal of Public Opinion Research
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-12-31
- Pages
- edv050
- ISSN
- 0954-2892 (ISSN-L)
- 1471-6909
- OpenAlex
- W2290302962
- Cited by
- 355
- References
- 68
- FWCI
- 65.15
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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