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Reinforcement Effects between Digital Media Use and Political Participation: A Meta-Analysis of Repeated-Wave Panel Data
Abstract
As digital media use has rapidly increased in prevalence and diversified in form, scholars across the globe have focused extensive attention on how the use of digital media relates to political participation. To assess the results of this emerging body of research, we conduct the first meta-analysis of repeated-wave panel data studies on the relationship between digital media use and political participation. The findings, based on 38 survey-based, repeated-wave panel studies (279 coefficients) bring new evidence to bear on two questions central to this literature. First, the findings provide new insight into the classic mobilization versus reinforcement debate: contrary to common assumption, the findings support a reinforcement effect, whereby those who are already politically active are motivated to use digital media. Second, the results indicate that the relationship between digital media use and political participation is durable, as studies with a longer time lag were more likely to yield positive and significant effects. Taken together, this evidence in support of a durable reinforcement effect implies the potential for digital media use to contribute to increased inequality in political participation over time. In the concluding discussion, we outline directions for further theoretical inquiry and empirical research that leverage the value of repeated-wave panel studies to make causal inferences.
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“Consistent with past meta-analyses42,43,45, the body of correlational evidence supported a beneficial association between digital media use and political participation and mobilization.”
From A systematic review of worldwide causal and correlational evidence on digital media and democracy (2022) · cites this paper as [43]
Citations
Cites
The embarrassment of riches? A meta-analysis of individual-level research on voter turnout
Smets, K., & van Ham, C. (2013) · Electoral Studies · doi:10.1016/j.electstud.2012.12.006 · Cited by 799
Explaining voter turnout: A meta-analysis of national and subnational elections
Cancela, J., & Geys, B. (2016) · Electoral Studies · doi:10.1016/j.electstud.2016.03.005 · Cited by 452
Research works printed but not linked: 21
- Boulianne, 2018, “Twenty Years of Digital Media Effects on Civic and Political Participation.”, Communication Research
- Čehovin, 2019, “Meta-Analyses in Survey Methodology: A Systematic Review.”, Public Opinion Quarterly, 824, 641
- Chae, 2019, “Meta-Analysis of the Relationship between Internet Use and Political Participation: Examining Main and Moderating Effects.”, Asian Journal of Communication, 29, 35, 10.1080/01292986.2018.1499121 · DOI · Paper page
- Cho, 2009, “Campaigns, Reflection, and Deliberation: Advancing an O-S-R-O-R Model of Communication Effects.”, Communication Theory, 19, 66, 10.1111/j.1468-2885.2008.01333.x · DOI
- Edgerly, 2018, “New Media, New Relationship to Participation? A Closer Look at Youth News Repertoires and Political Participation.”, Journalism & Mass Communication Quarterly, 95, 192, 10.1177/1077699017706928 · DOI
- Emmer, 2012, “Changing Political Communication in Germany: Findings from a Longitudinal Study on the Influence of the Internet on Political Information, Discussion and the Participation of Citizens.”, 233
- Hooghe, 2015, “Internet, Television and Social Capital: The Effect of Screen Time on Social Capital.”, Information, Communication and Society, 18, 1175, 10.1080/1369118X.2015.1022568 · DOI
- Jennings, 2003, “Internet Use and Civic Engagement: A Longitudinal Analysis.”, Public Opinion Quarterly, 67, 311, 10.1086/376947 · DOI
- Kahne, 2013, “The Civic and Political Significance of Online Participatory Cultures among Youth Transitioning to Adulthood.”, Journal of Information Technology & Politics, 10, 1, 10.1080/19331681.2012.701109 · DOI
- Kim, 2017, “The Longitudinal Relation between Online and Offline Political Participation among Youth at Two Different Developmental Stages.”, New Media & Society, 19, 899, 10.1177/1461444815624181 · DOI
- Moeller, 2018, “Internet Use and Political Interest: Growth Curves, Reinforcing Spirals, and Causal Effects During Adolescence.”, Journal of Communication, 68, 1052, 10.1093/joc/jqy062 · DOI · Paper page
- Norris, 2000, A Virtuous Circle: Political Communications in Postindustrial Societies., 10.1017/CBO9780511609343 · DOI
- Oser, 2013, “Is Online Participation Distinct from Offline Participation? A Latent Class Analysis of Participation Types and Their Stratification.”, Political Research Quarterly, 66, 91, 10.1177/1065912912436695 · DOI
- Putnam, 2000, Bowling Alone: The Collapse and Revival of American Community.
- Schlozman, 2010, “Weapon of the Strong? Participatory Inequality and the Internet.”, Perspectives on Politics, 8, 487, 10.1017/S1537592710001210 · DOI
- Skoric, 2016, “Social Media and Citizen Engagement: A Meta-Analytic Review.”, New Media & Society, 18, 1817, 10.1177/1461444815616221 · DOI
- Slater, 2015, “Reinforcing Spirals Model: Conceptualizing the Relationship Between Media Content Exposure and the Development and Maintenance of Attitudes.”, Media Psychology, 18, 370, 10.1080/15213269.2014.897236 · DOI
- Stockemer, 2018, Individual Predictors of the Radical Right-Wing Vote in Europe: A Meta-Analysis of Articles in Peer-Reviewed Journals (1995–2016).”, 569
- Strandberg, 2008, “Online Electoral Competition in Different Settings: A Comparative Meta-Analysis of the Research on Party Websites and Online Electoral Competition.”, Party Politics, 14, 223, 10.1177/1354068807085891 · DOI
- Wooldridge, 2010, Econometric Analysis of Cross Section and Panel Data
- Xenos, 2007, “Direct and Differential Effects of the Internet on Political and Civic Engagement.”, Journal of Communication, 57, 704, 10.1111/j.1460-2466.2007.00364.x · DOI
Cited by
A systematic review of worldwide causal and correlational evidence on digital media and democracy
Lorenz-Spreen, P., Oswald, L., Lewandowsky, S., & Hertwig, R. (2022) · Nature Human Behaviour · doi:10.1038/s41562-022-01460-1 · Cited by 348
Metadata
- Authors
- Oser, J., & Boulianne, S.
- Affiliations
- Ben-Gurion University of the Negev (IL)
- MacEwan University (CA)
- Corresponding author
- Oser, Jennifer
- Venue
- Public Opinion Quarterly
- Publisher
- Oxford University Press (OUP)
- Published
- 2020
- Volume
- 84
- Issue
- S1
- Pages
- 355-365
- ISSN
- 0033-362X (ISSN-L)
- 1537-5331
- OpenAlex
- W3035161100
- Cited by
- 82
- References
- 2
- Citations by year
- 2026: 6 · 2025: 10 · 2024: 19 · 2023: 12 · 2022: 21 · 2021: 13 · 2020: 1
- FWCI
- 4.11
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- academic.oup.com/journals/pages/open_access/funder_policies/chorus/standard_publication_model (vor)
- Locations
- Public Opinion Quarterly (publishedVersion)
- Funders
- Israel Science Foundation (1662/16)
- MacEwan University
- Topics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Political Science and International Relations › Electoral Systems and Political Participation
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Keywords
- digital media use, political participation, reinforcement effect, political inequality, time delay, causal inference
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