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Original Articles

Collective Social Correction: Addressing Misinformation through Group Practices of Information Verification on WhatsApp

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Abstract

Recent years show a growing concern about the spread of misinformation on social media. One of the avenues to address this challenge is the practice of social correction—the correction of misinformation conducted by other social media users. While social correction focuses on individuals in the context of their respective social media networks, we offer the concept of collective social correction: an ongoing practice of information verification, occurring within group contexts. Employing a mixed-methods approach, we examine collective social correction by analysing the case study of a large-scale Israeli WhatsApp group, led by a journalist, and devoted to informal discussion of politics and news. Our findings point at the importance of active, discursive processes of information verification in the current media environment, particularly when it comes to political (mis)information. The study further highlights the role of group dynamics and group norms—modelled by the behaviour of everyday participants as well as of the group admin—in promoting the adoption of journalistic practices of fact-checking and source vetting and increasing participant accountability. Finally, the paper considers to what extent the interplay between social dynamics and information verification processes can inform our understanding of other, non-specialized group contexts as well.

Acknowledgements

The author would like to thank the research assistants who worked on this project: Tali Aharoni, Omer Fried, Hadas Gur-Ze’ev, Inbar Katz, Keren Soimu, and Avital Zalik. Thank you to many colleagues who have provided valuable feedback on this project, including Meital Balmas, Ifat Maoz, Patrícia Rossini, Shyam Sundar, Ori Tenenboim, and Keren Tenenboim-Weinblatt. Special thanks goes to Tal Schneider and all participants of the Workers and the Pioneers who allowed me to conduct this ongoing research project, and to Or Barak who generously granted me access and assistance in using his script for working with the WhatsApp data.

Disclosure Statement

No potential conflict of interest was reported by the author.

Notes

1 The group admin wished to be identified by name. All other participant names are pseudonyms.

2 Group names refer to key roles in Israeli history. The term ‘workers’ also translates as ‘laborers,’ reflecting a connection to Proletarians in the Communist Manifesto. Importantly, group names are in female plural form, despite a male dominance in group membership, reflecting Schneider’s feminist stance.

3 This paper is part of a broader study investigating these groups, which also included in-depth interviews with 20 participants from both groups. The topic of information verification practices was not central in these interviews, and so they inform this study as background.

4 Note that coders had to agree both on whether a case of information verification was taking place, and which messages should be assigned to it.

5 Krippendorff (Citation2004) considers a cut-off level of α = .67 as acceptable.

6 To distinguish them, interview quotes are italicized whereas excerpts from the WhatsApp group discussion are not.

7 One temporal trend that can be noted is an increased engagement in meta-discussions around misinformation, which were more salient towards the end of 2016, particularly after the US elections in November, as this topic was more dominant in the news as well.

Additional information

Funding

This research was supported by the “WhatsApp Misinformation and Social Science Research Award,” granted to the author as an unrestricted research gift.

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