“Distant Participation” and Youth Political Attitudes: Evidence from a Natural Experiment
Abstract
Objective: In this article, we explore the seldom studied concept of “distant participation,” defined as the experience of social movements (such as receiving information from online media) from overseas. Online media may affect people's political attitudes, but how people use online media is also contingent upon their political attitudes. Method: We take advantage of a natural experiment to deal with this endogenous selection problem. Our treatment group consists of college students who happened to join a short‐term overseas exchange program during the Umbrella Movement, which had an unexpectedly large turnout in Hong Kong. These students had a different mode of participation in the event from their peers physically in Hong Kong. The experience, including intensive exposure to online media, changed their media consumption habits, and hence their political attitudes. Results: We find that the treatment group is more likely to report using online media to obtain news. They also have a stronger sense of political efficacy and significantly weaker national identity. We, however, find no significant difference between the treatment and control groups regarding civic and political participation. Conclusion: This study provides a rare contribution to the study of the effect of online media by tackling the problem of selection. The concept of distant participation should also be given more attention given the ease of population flow and technological advancement nowadays.
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In authoritarian regimes in Asia, increasing unrestricted internet access decreased levels of trust in the political system.
“In authoritarian regimes in Asia, increasing unrestricted internet access decreased levels of trust in the political system59,73,91.”
From A systematic review of worldwide causal and correlational evidence on digital media and democracy (2022) · cites this paper as [73]
Cites
The Wealth of Networks: How Social Production Transforms Markets and Freedom
(2006) · Choice Reviews Online · doi:10.5860/choice.44-0999 · Cited by 1,903 · see citing works
The Consequences of the Internet for Politics
Farrell, H. (2012) · Annual Review of Political Science · doi:10.1146/annurev-polisci-030810-110815 · Cited by 387 · see citing works
Explaining spontaneous occupation: antecedents, contingencies and spaces in the Umbrella Movement
Cheng, E. W., & Chan, W.-Y. (2017) · Social Movement Studies · doi:10.1080/14742837.2016.1252667 · Cited by 124 · see citing works
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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 · see citing works
- Authors
- Wong, S. H., & Wong, M. Y. H.
- Affiliations
- Hong Kong Polytechnic University (HK)
- Education University of Hong Kong (HK)
- Corresponding author
- Wong, Mathew Y. H.
- Venue
- Social Science Quarterly
- Publisher
- Wiley
- Published
- 2020-06-12
- Volume
- 101
- Issue
- 4
- Pages
- 1489-1512
- ISSN
- 0038-4941 (ISSN-L)
- 1540-6237
- OpenAlex
- W3035104988
- Cited by
- 4
- References
- 3
- Citations by year
- 2022: 1 · 2021: 3
- FWCI
- 1.20
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Social Science Quarterly (publishedVersion)
- Topics
- Social Sciences › Communication › Social Media and Politics
- Social Sciences › Sociology and Political Science › Hong Kong and Taiwan Politics
- Social Sciences › Sociology and Political Science › Media Influence and Politics
- Keywords
- youth political attitudes, online media, Umbrella Movement, political efficacy, national identity, citizen participation, media use, social movements, Hong Kong
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