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The Internet, political trust, and regime types: a cross-national and multilevel analysis

Published online by Cambridge University Press:  16 October 2019

Yu You*
Affiliation:
School of Public Affairs, Chongqing University, Chongqing, China
Zhengxu Wang
Affiliation:
School of International Relations & Public Affairs, Fudan University, Fudan, China
*
*Corresponding author. E-mail: fisheryouyu@gmail.com
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Abstract

The Internet has played important roles in driving political changes around the world. Why does it help to topple political regimes in some places but improve the quality of governance in others? We found Internet usage in general leads to citizens’ distrust in political institutions. Different political environments, however, can condition such trust-eroding impacts of the Internet in significantly different ways. A democracy enables citizens to connect their online behaviors and offline expression and organization, releasing political discontent while facilitating state–society communication. On the contrary, by restricting various forms of off-line expression, authoritarian regimes drive Internet-active citizens' discontent and distrust to higher levels. We use the World Values Survey data to establish these different mechanisms across democracies and authoritarian systems. Entropy balancing shows our findings to be highly robust.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2019
Figure 0

Table 1. Descriptive statistics of variables

Figure 1

Table 2. Internet use and institutional trust: a global trend

Figure 2

Table 3. Internet usage and institutional trust in different political regimes: multilevel models

Figure 3

Figure 1. Average effect of Internet use with different democracy scores.

Note: Based on Model 3 in Table 3.
Figure 4

Table 4. Political expression and the Internet's impact on institutional trust

Figure 5

Figure 2. Average effect of Internet use with different country expression indices.

Note: Based on Model 10 in Table 4.
Supplementary material: Link

You and Wang Dataset

Link