Do Internet Penetration and Online Censorship Levels Affect Long-Term Repression Success in Street Protest Prevention?

V. Belenkov
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Abstract

This research paper aims at learning whether Internet penetration and online censorship affect repression against civil society organization (CSO) capacity to prevent street protest events and/or reduce protest participant numbers in the long term. Although there is a large corpus of studies on the consequences of the Internet and social media development for street protest mobilization, there is little empirical research on whether offline CSO repression works in the age of the Internet and whether this new repression impact is modified by attempts to organize online censorship. I tried to solve this problem with large-N cross-national datasets on protest participation, CSO repression and online censorship as well as on the share of Internet users from 1990 to 2018. I propose a set of hypotheses claiming that repression has a negative unconditional effect on street protest probability and protester numbers, that the Internet penetration makes repression effect less negative or more positive, and that online censorship transforms repression impact into more negative and less positive. I test these hypotheses with pooled linear and logistic regressions weighted by inverse probability of loss to follow-up. The results demonstrate that when the repression effect exists, an uncensored Internet makes the weak repression effect positive and transforms highly severe repression effects from negative to null. Online censorship at a high level of Internet use only removes the positive effect of weak repression. Acknowledgments: The reported study was funded by RFBR and EISR, project number 21-011-32120.
互联网普及率和网络审查水平是否影响街头抗议的长期镇压成功?
本研究旨在了解互联网渗透和网络审查是否会影响对公民社会组织(CSO)的压制,从而在长期内阻止街头抗议事件和/或减少抗议参与者的数量。尽管有大量关于互联网和社交媒体发展对街头抗议动员的影响的研究,但很少有关于离线公民社会组织镇压是否在互联网时代起作用以及这种新的镇压影响是否被组织在线审查的尝试所改变的实证研究。我试图用大n的跨国数据集来解决这个问题,这些数据集涉及抗议参与、公民社会组织镇压和在线审查,以及1990年至2018年互联网用户的比例。我提出了一组假设,声称镇压对街头抗议概率和抗议者人数具有无条件的负面影响,互联网的渗透使镇压效果变得不那么消极或更积极,并且在线审查将镇压影响转变为更消极和更不积极。我用混合线性和逻辑回归来检验这些假设,这些回归由后续损失的逆概率加权。结果表明,当抑制效应存在时,不受审查的互联网使弱抑制效应变为正抑制效应,使高度严重的抑制效应变为负抑制效应。互联网高度使用的网络审查只会消除弱压制的积极影响。致谢:本研究由RFBR和EISR资助,项目编号21-011-32120。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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