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虚假信息与政权存续

Disinformation and Regime Survival.

作者信息

Sato Yuko, Wiebrecht Felix

机构信息

Waseda University, Shinjuku-ku, Japan.

University of Liverpool, Liverpool, UK.

出版信息

Polit Res Q. 2024 Sep;77(3):1010-1025. doi: 10.1177/10659129241252811. Epub 2024 May 27.

DOI:10.1177/10659129241252811
PMID:39130727
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11305955/
Abstract

Disinformation has transformed into a global issue and while it is seen as a growing concern to democracy today, autocrats have long used it as a part of their propaganda repertoire. Yet, no study has tested the effect of disinformation on regime stability and breakdown beyond country-specific studies. Drawing on novel measures from the Digital Society Project (DSP) estimating the levels of disinformation disseminated by governments across 148 countries between 2000-2022 and from the Episodes of Regime Transformation (ERT) dataset, we provide the first global comparative study of disinformation and survival of democratic and authoritarian regimes, respectively. The results show that in authoritarian regimes, disinformation helps rulers to stay in power as regimes with higher levels of disinformation are less likely to experience democratization episodes. In democracies, on the other hand, disinformation increases the probability of autocratization onsets. As such, this study is the first to provide comparative evidence on the negative effects of disinformation on democracy as well as on the prospects of democratization.

摘要

虚假信息已演变成一个全球性问题,虽然如今它被视为对民主的一个日益严重的担忧,但独裁者长期以来一直将其作为宣传手段的一部分。然而,除了针对特定国家的研究外,尚无研究检验虚假信息对政权稳定性和崩溃的影响。利用数字社会项目(DSP)的新方法来估计2000年至2022年间148个国家政府传播的虚假信息水平,并借助政权转型事件(ERT)数据集,我们分别对虚假信息与民主政权和独裁政权的存续进行了首次全球比较研究。结果表明,在独裁政权中,虚假信息有助于统治者掌权,因为虚假信息水平较高的政权经历民主化事件的可能性较小。另一方面,在民主国家,虚假信息增加了独裁化开始的可能性。因此,本研究首次提供了关于虚假信息对民主的负面影响以及民主化前景的比较证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9504/11305955/45c0f08b8f6f/10.1177_10659129241252811-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9504/11305955/0f75a3c82399/10.1177_10659129241252811-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9504/11305955/45c0f08b8f6f/10.1177_10659129241252811-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9504/11305955/0f75a3c82399/10.1177_10659129241252811-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9504/11305955/45c0f08b8f6f/10.1177_10659129241252811-fig2.jpg

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本文引用的文献

1
How democracies prevail: democratic resilience as a two-stage process.民主如何获胜:民主韧性的两阶段过程
Democratization. 2021 Apr 27;28(5):885-907. doi: 10.1080/13510347.2021.1891413. eCollection 2021.
2
The Relationship Between Social Media Use and Beliefs in Conspiracy Theories and Misinformation.社交媒体使用与阴谋论和错误信息信念之间的关系
Polit Behav. 2023;45(2):781-804. doi: 10.1007/s11109-021-09734-6. Epub 2021 Jul 7.
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Political regime, data transparency, and COVID-19 death cases.政治体制、数据透明度与新冠疫情死亡病例
SSM Popul Health. 2021 Jun 12;15:100832. doi: 10.1016/j.ssmph.2021.100832. eCollection 2021 Sep.
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Fake news on Twitter during the 2016 U.S. presidential election.2016年美国总统大选期间推特上的假新闻。
Science. 2019 Jan 25;363(6425):374-378. doi: 10.1126/science.aau2706.
5
Less than you think: Prevalence and predictors of fake news dissemination on Facebook.远低于你的想象:脸书上虚假新闻传播的流行程度和预测因素。
Sci Adv. 2019 Jan 9;5(1):eaau4586. doi: 10.1126/sciadv.aau4586. eCollection 2019 Jan.