True or False: Studying the Work Practices of Professional Fact-Checkers
Nicholas Micallef, Vivienne Armacost, Nasir D. Memon, Sameer Patil
摘要
Misinformation has developed into a critical societal threat that can lead to disastrous societal consequences. Although fact-checking plays a key role in combating misinformation, relatively little research has empirically investigated work practices of professional fact-checkers. To address this gap, we conducted semi-structured interviews with 21 fact-checkers from 19 countries. The participants reported being inundated with information that needs filtering and prioritizing prior to fact-checking. The interviews surfaced a pipeline of practices fragmented across disparate tools that lack integration. Importantly, fact-checkers lack effective mechanisms for disseminating the outcomes of their efforts which prevents their work from fully achieving its potential impact. We found that the largely manual and labor intensive nature of current fact-checking practices is a barrier to scale. We apply these findings to propose a number of suggestions that can improve the effectiveness, efficiency, scale, and reach of fact-checking work and its outcomes.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper19
- Synthetic Lies: Understanding AI-Generated Misinformation and Evaluating Algorithmic and Human SolutionsJiawei Zhou, Yixuan Zhang, Qianni Luo, Andrea G. Parker 等CHI 2023 · 被引用 283 次
- Did the Roll-Out of Community Notes Reduce Engagement With Misinformation on X/Twitter?Yuwei Chuai, Haoye Tian, Nicolas Pröllochs, Gabriele LenziniCSCW 2024 · 被引用 62 次
- Diffusion of Community Fact-Checked Misinformation on TwitterChiara Patricia Drolsbach, Nicolas PröllochsCSCW 2023 · 被引用 47 次
- Mechanisms of True and False Rumor Sharing in Social Media: Collective Intelligence or Herd Behavior?Nicolas Pröllochs, Stefan FeuerriegelCSCW 2023 · 被引用 31 次
- Human-centered NLP Fact-checking: Co-Designing with Fact-checkers using Matchmaking for AIHoujiang Liu, Anubrata Das, Alexander Boltz, Didi Zhou 等CSCW 2024 · 被引用 23 次
它引用的顶会 Paper6
- Effects of Credibility Indicators on Social Media News Sharing IntentWaheeb Yaqub, Otari Kakhidze, Morgan L. Brockman, Nasir D. Memon 等CHI 2020 · 被引用 170 次
- Combating Misinformation in Bangladesh: Roles and Responsibilities as Perceived by Journalists, Fact-checkers, and UsersMd Mahfuzul Haque, Mohammad Yousuf, Ahmed Shatil Alam, Pratyasha Saha 等CSCW 2020 · 被引用 84 次
- Investigating Differences in Crowdsourced News Credibility Assessment: Raters, Tasks, and Expert CriteriaMd Momen Bhuiyan, Amy X. Zhang, Connie Moon Sehat, Tanushree MitraCSCW 2020 · 被引用 70 次
- Lyra 2: Designing Interactive Visualizations by DemonstrationJonathan Zong, Dhiraj Barnwal, Rupayan Neogy, Arvind SatyanarayanIEEE VIS 2020 · 被引用 50 次
- On the Misinformation Beat: Understanding the Work of Investigative Journalists Reporting on Problematic Information OnlineMelinda McClure Haughey, Meena Devii Muralikumar, Cameron A. Wood, Kate StarbirdCSCW 2020 · 被引用 48 次
相关 Paper
- Human and Technological Infrastructures of Fact-checkingPrerna Juneja, Tanushree MitraCSCW 2022 · 被引用 59 次
- Show Me the Work: Fact-Checkers' Requirements for Explainable Automated Fact-CheckingGreta Warren, Irina Shklovski, Isabelle AugensteinCHI 2025 · 被引用 15 次
- Tactics, Threats & Targets: Modeling Disinformation and its MitigationMuhammad Shujaat Mirza, Labeeba Begum, Liang Niu, Sarah Pardo 等NDSS 2023
- Missing Counter-Evidence Renders NLP Fact-Checking Unrealistic for MisinformationMax Glockner, Yufang Hou, Iryna GurevychEMNLP 2022 · 被引用 23 次
- Misinformation as a Harm: Structured Approaches for Fact-Checking PrioritizationConnie Moon Sehat, Ryan Li, Peipei Nie, Tarunima Prabhakar 等CSCW 2024 · 被引用 22 次
