Journal article
Modelling temporal dynamics: does internet use fuel anti-government protests?
Democratization, Vol.31(2), pp.389-410
02/17/2024
DOI: 10.1080/13510347.2023.2268019
Abstract
he past three decades have witnessed a rapid global uptake of digital media. Does an increase in internet access lead to more anti-government protests globally, in both democracies and non-democracies? Has the role of the internet changed over time from benefiting the opposition to benefiting the regime? We use time-series cross-national data and negative binomial regressions to model protest data in 151 countries from 1990 to 2020. By leveraging change in the development of digital information globally, the results show that increases in internet penetration and mobile cellular subscription rates increase the number of anti-government protests in non-democracies in the period from 1990 to 2010, but not among a subsample of democracies. After 2010, increases in internet penetration rates did not affect the number of protests in either democracies or non-democracies. The use of cellular internet continues to have a small positive effect on protest frequency after 2010. We also test the government's internet censorship efforts as a mechanism for decreasing information access and diminishing mobilization. Results suggest authoritarian regimes modified their strategies over time, more effectively using information and communications technologies (ICTs) to quell anti-government protests using digital repression and information control consistent with the theory of informational autocracy.
Details
- Title: Subtitle
- Modelling temporal dynamics: does internet use fuel anti-government protests?
- Creators
- Daria Kuznetsova - University of IowaCaroline Tolbert - University of Iowa
- Resource Type
- Journal article
- Publication Details
- Democratization, Vol.31(2), pp.389-410
- DOI
- 10.1080/13510347.2023.2268019
- ISSN
- 1351-0347
- eISSN
- 1743-890X
- Language
- English
- Electronic publication date
- 11/03/2023
- Date published
- 02/17/2024
- Academic Unit
- Center for Social Science Innovation; Public Policy Center (Archive); Political Science
- Record Identifier
- 9984507157102771
Metrics
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