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Fact-Checkers Perception on Social Media Governance Models to Combat Disinformation: Insights from a European Qualitative Study

Ortiz Del Noval, Ivan LU and Liew, Hui Yong LU (2025) INFM10 20251
Department of Informatics
Abstract
Disinformation on social media platforms is becoming increasingly relevant. The evolving tactics to disseminate it—particularly with generative AI—and the governance shift in governance models towards community-based fact-checking have raised significant concerns among fact-checking organizations, experts in this field. This research aims to explore the fact-checkers’ perceptions on this change on social media governance models to counter disinformation in Europe. Based on qualitative interviews with fact-checkers across Europe, the research reveals that, while community-based fact-checking is regarded as a valuable complement to third-party fact-checking models, it is not viewed as a standalone solution. Respondents appreciated simpler,... (More)
Disinformation on social media platforms is becoming increasingly relevant. The evolving tactics to disseminate it—particularly with generative AI—and the governance shift in governance models towards community-based fact-checking have raised significant concerns among fact-checking organizations, experts in this field. This research aims to explore the fact-checkers’ perceptions on this change on social media governance models to counter disinformation in Europe. Based on qualitative interviews with fact-checkers across Europe, the research reveals that, while community-based fact-checking is regarded as a valuable complement to third-party fact-checking models, it is not viewed as a standalone solution. Respondents appreciated simpler, more concise formats for labelling like additional context notes. Participants also showed concerns around transparency, particularly from the platforms side, and a growing public distrust in fact-checking organizations. Experts also highlighted the unpredictable situation for the coming years, pointing to future challenges such as the sophistication of AI, EU regulations and resources for fact-checking. Findings are contextualized within the existing literature, and recommendations for further research are outlined, like the transferability to other regions and its continuous revision in light of expected developments. (Less)
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author
Ortiz Del Noval, Ivan LU and Liew, Hui Yong LU
supervisor
organization
course
INFM10 20251
year
type
H1 - Master's Degree (One Year)
subject
keywords
Fact-checking, Governance model, Community-based fact-checking, Third-party fact-checking, Disinformation, Social media, Information Systems
language
English
id
9200394
date added to LUP
2025-06-17 13:42:36
date last changed
2025-06-17 13:42:36
@misc{9200394,
  abstract     = {{Disinformation on social media platforms is becoming increasingly relevant. The evolving tactics to disseminate it—particularly with generative AI—and the governance shift in governance models towards community-based fact-checking have raised significant concerns among fact-checking organizations, experts in this field. This research aims to explore the fact-checkers’ perceptions on this change on social media governance models to counter disinformation in Europe. Based on qualitative interviews with fact-checkers across Europe, the research reveals that, while community-based fact-checking is regarded as a valuable complement to third-party fact-checking models, it is not viewed as a standalone solution. Respondents appreciated simpler, more concise formats for labelling like additional context notes. Participants also showed concerns around transparency, particularly from the platforms side, and a growing public distrust in fact-checking organizations. Experts also highlighted the unpredictable situation for the coming years, pointing to future challenges such as the sophistication of AI, EU regulations and resources for fact-checking. Findings are contextualized within the existing literature, and recommendations for further research are outlined, like the transferability to other regions and its continuous revision in light of expected developments.}},
  author       = {{Ortiz Del Noval, Ivan and Liew, Hui Yong}},
  language     = {{eng}},
  note         = {{Student Paper}},
  title        = {{Fact-Checkers Perception on Social Media Governance Models to Combat Disinformation: Insights from a European Qualitative Study}},
  year         = {{2025}},
}