The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.
Election Campaigning on Social Media: Politicians, Audiences, and the Mediation of Political Communication on Facebook and Twitter
Open accessAbstract
Although considerable research has concentrated on online campaigning, it is still unclear how politicians use different social media platforms in political communication.Focusing on the German federal election campaign 2013, this article investigates whether election candidates address the topics most important to the mass audience and to which extent their communication is shaped by the characteristics of Facebook and Twitter.Based on open-ended responses from a representative survey conducted during the election campaign, we train a human-interpretable Bayesian language model to identify political topics.Applying the model to social media messages of candidates and their direct audiences, we find that both prioritize different topics than the mass audience.The analysis also shows that politicians use Facebook and Twitter for different purposes.We relate the various findings to the mediation of political communication on social media induced by the particular characteristics of audiences and sociotechnical environments.
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Cites
Book Review: Pattern Recognition and Machine Learning
Nasrabadi, N. M. (2007) · Journal of Electronic Imaging · doi:10.1117/1.2819119 · Cited by 22,066
An Economic Theory of Democracy.
Banfield, E. C., & Downs, A. (1958) · Midwest Journal of Political Science · doi:10.2307/2109186 · Cited by 18,594
Pattern Recognition and Machine Learning
(2007) · Kybernetes · doi:10.1108/03684920710743466 · Cited by 8,265
An Economic Theory of Democracy
Marvick, D., & Downs, A. (1960) · The Western Political Quarterly · doi:10.2307/444355 · Cited by 4,109
Text as Data: The Promise and Pitfalls of Automatic Content Analysis Methods for Political Texts
Grimmer, J., & Stewart, B. M. (2013) · Political Analysis · doi:10.1093/pan/mps028 · Cited by 3,297 · cited 4×
“Recent advances in quantitative text analysis (Grimmer & Stewart, 2013) enable us to perform text analysis at a larger scale.”
BackgroundMethodInfluentialMcQuail's mass communication theory
McQuail, D. (2000) · Cited by 2,606
Markov Chain Sampling Methods for Dirichlet Process Mixture Models
Neal, R. M. (2000) · Journal of Computational and Graphical Statistics · doi:10.1080/10618600.2000.10474879 · Cited by 2,288
Structural Topic Models for Open‐Ended Survey Responses
Roberts, M. E., Stewart, B. M., Tingley, D., Lucas, C., Leder‐Luis, J., Gadarian, S. K., Albertson, B., & Rand, D. G. (2014) · American Journal of Political Science · doi:10.1111/ajps.12103 · Cited by 1,952
Prior, M. (2007) · Cambridge University Press eBooks · doi:10.1017/cbo9781139878425 · Cited by 1,582
(2007) · Choice Reviews Online · doi:10.5860/choice.45-1733 · Cited by 1,178
Cited by
Bossetta, M. (2018) · Journalism & Mass Communication Quarterly · doi:10.1177/1077699018763307 · Cited by 689
The role of (social) media in political polarization: A systematic review
Kubin, E., & von Sikorski, C. (2021) · Annals of the International Communication Association · doi:10.1080/23808985.2021.1976070 · Cited by 610
“However, neither examined Twitter or Facebook, the two primary social media sites where people see political information (e.g. Stier et al., 2018).”
BackgroundIntegrating Survey Data and Digital Trace Data: Key Issues in Developing an Emerging Field
Stier, S., Breuer, J., Siegers, P., & Thorson, K. (2020) · Social Science Computer Review · doi:10.1177/0894439319843669 · Cited by 312
Self-citationPolitical Astroturfing on Twitter: How to Coordinate a Disinformation Campaign
Keller, F. B., Schoch, D., Stier, S., & Yang, J. (2020) · Political Communication · doi:10.1080/10584609.2019.1661888 · Cited by 378
Self-citationMeasuring algorithmically infused societies
Wagner, C., Strohmaier, M., Olteanu, A., Kıcıman, E., Contractor, N., & Eliassi-Rad, T. (2021) · Nature · doi:10.1038/s41586-021-03666-1 · Cited by 144
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Metadata
- Authors
- Stier, S., Bleier, A., Lietz, H., & Strohmaier, M.
- Venue
- Political Communication
- Publisher
- Informa UK Limited
- Published
- 2018-01-02
- Volume
- 35
- Issue
- 1
- Pages
- 50-74
- ISSN
- 1058-4609 (ISSN-L)
- 1091-7675
- OpenAlex
- W2785285571
- Cited by
- 566
- References
- 47
- FWCI
- 88.77
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Stier, S., Bleier, A., Lietz, H., & Strohmaier, M. (2018). Election Campaigning on Social Media: Politicians, Audiences, and the Mediation of Political Communication on Facebook and Twitter. Political Communication. https://doi.org/10.1080/10584609.2017.1334728
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