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On the Misinformation Beat: Understanding the Work of Investigative Journalists Reporting on Problematic Information Online

Authors:

Melinda McClure Haughey,

Meena Devii Muralikumar,

Cameron A. Wood,

Kate StarbirdAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 4, Issue CSCW2

Article No.: 133, Pages 1 - 22

https://doi.org/10.1145/3415204

Published: 15 October 2020 Publication History

Abstract

Journalists are increasingly investigating and reporting on problematic online content such as misinformation, disinformation, and conspiracy theories, leading to the creation of a new misinformation beat. The process of collecting, analyzing, and reporting on this kind of data is complex and nuanced. It is especially challenging as online actors attempt to undermine their work. Through in-depth interviews with twelve journalists, we explore how they investigate and report on online misinformation and disinformation. Our findings reveal some of the unique challenges of reporting on this beat, as well as the ways in which reporters overcome those challenges. We highlight and discuss how journalistic values could be better embedded into the design of tools to support their work, the power dynamics between social media companies and journalists, and the promise of collaborations as a way to support and educate journalists on this beat. This work provides contextual knowledge to researchers looking to better support investigative journalists - on the misinformation beat and beyond - as their work becomes more entangled in sociotechnical systems.

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https://doi.org/10.1016/j.ijhcs.2024.103378
Li JWagner M(2024)How do social media users and journalists express concerns about social media misinformation? A computational analysisHarvard Kennedy School Misinformation Review10.37016/mr-2020-147Online publication date: 18-Jun-2024
https://doi.org/10.37016/mr-2020-147
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Index Terms

On the Misinformation Beat: Understanding the Work of Investigative Journalists Reporting on Problematic Information Online
1. Human-centered computing
  1. Collaborative and social computing
    1. Empirical studies in collaborative and social computing

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Proceedings of the ACM on Human-Computer Interaction Volume 4, Issue CSCW2

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October 2020

2310 pages

EISSN:2573-0142

DOI:10.1145/3430143

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Published: 15 October 2020

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https://doi.org/10.1016/j.ijhcs.2024.103378
Li JWagner M(2024)How do social media users and journalists express concerns about social media misinformation? A computational analysisHarvard Kennedy School Misinformation Review10.37016/mr-2020-147Online publication date: 18-Jun-2024
https://doi.org/10.37016/mr-2020-147
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https://dl.acm.org/doi/10.1145/3653702
Chen APark CDarkwa AHolliday RBest M(2024)"We're Not in That Circle of Misinformation": Understanding Community-Based Trusted Messengers Through Cultural Code-SwitchingProceedings of the ACM on Human-Computer Interaction10.1145/36374298:CSCW1(1-36)Online publication date: 26-Apr-2024
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