Investigating Dynamics of Polarization of YouTube True and Fake News Channels

Das, Manideepto; Singh, Priya; Majumdar, Adrija

doi:10.1007/978-981-16-5268-4_4

Cited by 5 publications

(3 citation statements)

References 28 publications

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“…Second, from the collective actions perspective, the interpersonal interaction process (Abdalla Mikhaeil & Baskerville, 2024; Das et al, 2022; Kim & Kim, 2019) and social media communication (Arceneaux et al, 2013) lead to SMIP. Increasingly homogeneous online and offline interpersonal networks may contribute to affective polarization (Iyengar et al, 2019).…”

Section: Literature Reviewmentioning

confidence: 99%

“…First, from the individual perspective, reducing exposure to misinformation can depolarize participants along certain political lines on social media (Hyun & Moon, 2016). Second, from the collective actions perspective, the homogeneous interpersonal interaction process (Das et al, 2022; Kim & Kim, 2019) and communication (Arceneaux et al, 2013) lead to SMIP. Prosocial punishments introduce criticism that can interrupt the process and reduce SMIP.…”

Section: Theory Building and Hypothesesmentioning

confidence: 99%

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Accountability mobilization, guanxi and social media‐induced polarization: Understanding the bystander's prosocial punishment to misinformation spreader

Zhu,

Zhang,

Ding

et al. 2023

Information Systems Journal

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Prosocial punishments by social media bystanders could block the path from misinformation spread to social media‐induced polarization (SMIP). However, prosocial punishments are inadequate for SMIP management because of the personal costs, and few studies propose effective ways to mobilize bystanders. The Chinese government implemented a regulation in 2017 to mobilize bystanders on social media through allocating accountability to act as misinformation supervisors. In China's guanxi culture, prosocial punishments are less observed considering the additional personal costs caused by breaking guanxi. Therefore, assessing the effectiveness of China's cyberspace accountability mobilization can help identify an effective tool for other governments to mitigate SMIP. We used a vignette survey experiment to collect data from WeChat users and applied a random regression model to analyse the data. Accountability mobilization significantly promotes bystanders' prosocial punishment to block the misinformation‐spread‐to‐SMIP path. Guanxi negatively moderates the relationship between accountability mobilization and prosocial punishment to the above path. The government could encourage the public to actively take prosocial punishments by using the new tool of accountability mobilization. Guanxi culture reduces the effectiveness of the tool.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Theory Building and Hypothesesmentioning

confidence: 99%

Accountability mobilization, guanxi and social media‐induced polarization: Understanding the bystander's prosocial punishment to misinformation spreader

Zhu,

Zhang,

Ding

et al. 2023

Information Systems Journal

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“…The spread of misinformation can not only erode trust but can also divide people, polarize their opinions and promote violent extremism and hate speech (Gupta et al , 2022; Monsees, 2020). Thus, it is vital to comprehend how fake news spreads, create data mining algorithms for efficient and reliable detection of communities through which fake news spreads and intervene to reduce the harmful consequences (Das et al , 2022; Fard and Verma, 2022; Gupta and Deodhar, 2021; Gupta and Kumar, 2016). Early detection of misinformation is critical to limiting its impact and minimizing the damage caused by such misleading information.…”

Section: Introductionmentioning

confidence: 99%

Towards dissemination, detection and combating misinformation on social media: a literature review

Kaur

Gupta

2022

JBIM

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Purpose Social media is becoming a hub of fake content, be it political news, product reviews, business promotion or any other sociocultural event. This study aims to provide a comprehensive review of the emerging literature to advance an understanding of misinformation on social media platforms, which is a growing concern these days. Design/methodology/approach The authors curate and synthesize the dispersed knowledge about misinformation on social media by conducting a systematic literature review based on the preferred reporting items for systematic reviews and meta-analyses framework. The search strategy resulted in 446 research articles, out of which 33 relevant articles were identified for this research. Findings Misinformation on social media spreads swiftly and may result in negative consequences. This review identifies 13 intrinsic predictors of the dissemination, 11 detection approaches and 10 ways to combat misinformation on social media. Originality/value The study adds to the present knowledge of spread and detection of misinformation on social media. The results of this study will be beneficial for researchers and practitioners and help them in mitigating the harmful consequences of the spread of misinformation.

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