Relating foreign disinformation through social media, domestic online media fractionalization, government's control over cyberspace, and social media-induced offline violence: Insights from the agenda-building theoretical perspective

Arayankalam, Jithesh; Krishnan, Satish

doi:10.1016/j.techfore.2021.120661

Cited by 22 publications

(20 citation statements)

References 57 publications

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“…Closer to the present study, Kirkizh and Koltsova (2021) further found that exposure to online news is positively associated with participation in political demonstrations, including particularly in authoritarian countries. Even closer to the present paper, Arayankalam and Krishna (2021) showed that disinformation spread by foreign actors is associated with physical violence. While there is thus a solid foundation for the present work, thus far, the relation between online disinformation and offline political protests has not been explored.…”

Section: Introductionsupporting

confidence: 67%

“…Unlike Arayankalam and Krishna (2021), who only consider cross-sectional estimates in a single year, the estimation is carried in a time series cross-sectional (TSCS) context, which is a natural choice due to the underlying panel data. The TSCS context offers some clear benefits.…”

Section: Methodsmentioning

confidence: 99%

“…There are five variables in the V-Dem dataset for disinformation. 2 All of these have been used in recent research (Arayankalam and Krishna 2021;Piazza 2021), and all of these are used also in the present work.…”

Section: Independent Variablesmentioning

confidence: 99%

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A Comparative Study of Online Disinformation and Offline Protests

Ruohonen¹

2021

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In early 2021 the United States Capitol in Washington was stormed during a riot and violent attack. Although the storming was merely an instance in a long sequence of events, it provided a testimony for many observers who had claimed that online actions, including the propagation of disinformation, have offline consequences. Soon after, a number of papers have been published about the relation between online disinformation and offline violence, among other related relations. Hitherto, the effects upon political protests have been unexplored. This paper thus evaluates such effects with a time series cross-sectional sample of 125 countries in a period between 2000 and 2019. The results are mixed. Based on Bayesian multi-level regression modeling, (i) there indeed is an effect between online disinformation and offline protests, but the effect is partially meditated by political polarization. The results are clearer in a sample of countries belonging to the European Economic Area. With this sample, (ii) offline protest counts increase from online disinformation disseminated by domestic governments, political parties, and politicians as well as by foreign governments. Furthermore, (iii) Internet shutdowns and governmental monitoring of social media tend to decrease the counts. With these results, the paper contributes to the blossoming disinformation research by modeling the impact of disinformation upon offline phenomenon. The contribution is important due to the various policy measures planned or already enacted.

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Section: Introductionsupporting

confidence: 67%

Section: Methodsmentioning

confidence: 99%

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A Comparative Study of Online Disinformation and Offline Protests

Ruohonen¹

2021

Preprint

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“…As disclosed by the third person effect, FNI has greater effects on outgroup members than in-group members (Cheng and Luo, 2021;Chung and Kim, 2021;Mena, 2020;Talwar et al, 2020;Yang and Horning, 2020;Yang and Tian, 2021), meaning that the effects of FNI would not be restricted in a limited group. The significant effects of FNI are also described as the agenda-setting theory (Guo and Vargo, 2020;Khan et al, 2021;Vargo et al, 2018), also called the agenda-building theory (Arayankalam and Krishnan, 2021).…”

Section: Output Of Fnimentioning

confidence: 99%

“…, 2021; Vargo et al. , 2018), also called the agenda-building theory (Arayankalam and Krishnan, 2021).…”

Section: Conceptual Framework For Fni Researchmentioning

confidence: 99%

Fake news on the internet: a literature review, synthesis and directions for future research

Ngai

et al. 2022

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PurposeThe extensive distribution of fake news on the internet (FNI) has significantly affected many lives. Although numerous studies have recently been conducted on this topic, few have helped us to systematically understand the antecedents and consequences of FNI. This study contributes to the understanding of FNI and guides future research.Design/methodology/approachDrawing on the input–process–output framework, this study reviews 202 relevant articles to examine the extent to which the antecedents and consequences of FNI have been investigated. It proposes a conceptual framework and poses future research questions.FindingsFirst, it examines the “what”, “why”, “who”, “when”, “where” and “how” of creating FNI. Second, it analyses the spread features of FNI and the factors that affect the spread of FNI. Third, it investigates the consequences of FNI in the political, social, scientific, health, business, media and journalism fields.Originality/valueThe extant reviews on FNI mainly focus on the interventions or detection of FNI, and a few analyse the antecedents and consequences of FNI in specific fields. This study helps readers to synthetically understand the antecedents and consequences of FNI in all fields. This study is among the first to summarise the conceptual framework for FNI research, including the basic relevant theoretical foundations, research methodologies and public datasets.

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