The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Political Expression and Action on Social Media: Exploring the Relationship Between Lower- and Higher-Threshold Political Activities Among Twitter Users in Italy
Open accessAbstract
Scholars and commentators have debated whether lower-threshold forms of political engagement on social media should be treated as being conducive to higher-threshold modes of political participation or a diversion from them. Drawing on an original survey of a representative sample of Italians who discussed the 2013 election on Twitter, we demonstrate that the more respondents acquire political information via social media and express themselves politically on these platforms, the more they are likely to contact politicians via e-mail, campaign for parties and candidates using social media, and attend offline events to which they were invited online. These results suggest that lower-threshold forms of political engagement on social media do not distract from higher-threshold activities, but are strongly associated with them.
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Cites
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
Analyzing Incomplete Political Science Data: An Alternative Algorithm for Multiple Imputation
King, G., Honaker, J., Joseph, A., & Scheve, K. (2001) · American Political Science Review · doi:10.1017/s0003055401000235 · Cited by 1,834
Social Media: A Critical Introduction
Fuchs, C. (2014) · doi:10.4135/9781446270066 · Cited by 1,311
Birds of the Same Feather Tweet Together. Bayesian Ideal Point Estimation Using Twitter Data
Barbera, P. (2012) · doi:10.2139/ssrn.2108098 · Cited by 983
Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data
Barberá, P. (2015) · Political Analysis · doi:10.1093/pan/mpu011 · Cited by 982 · cited 2×
“model” described in Barberá (2014), which estimates ideology based on the political actors and”
BackgroundMethodSelf-citationd., B. (2010) · In Z. Papacharissi (Ed.), A Networked Self: Identity, Community, and Culture on Social Network Sites · doi:10.4324/9780203876527 · Cited by 673
Collective Action in Organizations: Interaction and Engagement in an Era of Technological Change
Bimber, B., Flanagin, A., & Stohl, C. (2012) · doi:10.1017/cbo9780511978777 · Cited by 339 · cited 2×
“Bimber, Flanagin, and Stohl (2012) suggest that, as the Internet becomes ubiquitous in society, its implications should be understood as changes in the context for political organizing and engagement rather than in terms of specific uses of technology.”
Background
Cited by
Valeriani, A., & Vaccari, C. (2016) · New Media & Society · doi:10.1177/1461444815616223 · Cited by 371
Self-citationIntegrating 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
Vaccari, C., Valeriani, A., Barberá, P., Jost, J. T., Nagler, J., & Tucker, J. A. (2016) · Social Media + Society · doi:10.1177/2056305116664221 · Cited by 188
Self-citationViolent political rhetoric on Twitter
Kim, T. (2023) · Political Science Research and Methods · doi:10.1017/psrm.2022.12 · Cited by 43
Moeller, J., Shehata, A., & Kruikemeier, S. (2018) · Journal of Communication · doi:10.1093/joc/jqy062 · Cited by 40
Metadata
- Authors
- Vaccari, C., Valeriani, A., Barberá, P., Bonneau, R., Jost, J. T., Nagler, J., & Tucker, J. A.
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2015-01-12
- Volume
- 20
- Issue
- 2
- Pages
- 221-239
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W2041312685
- Cited by
- 247
- References
- 7
- FWCI
- 81.43
- Type
- journal article
- Language
- en
- Open access
- green
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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.