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Fact-Check Tags vs Warnings: Which Label Stops Fake News on Social Media?
Insights from the Field
social media
fake news
warning labels
fact-check tags
Political Behavior
Pol. Behav.
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Dataverse
Real Solutions for Fake News? Measuring the Effectiveness of General Warnings and Fact-Check Tags in Reducing Belief in False Stories on Social Media was authored by Katherine Clayton, Spencer Blair, Jonathan A. Busam, Samuel Forstner, John Glance, Guy Green, Anna Kawata, Akhila Kovvuri, Jonathan Martin and Evan Morgan. It was published by Springer in Pol. Behav. in 2020.

This study investigates whether social media platforms' attempts to combat misinformation—via general warnings or fact-check tags—are effective in reducing user belief.

Methodology: The authors analyze data from the Facebook News Feed, where false stories are tagged with either labels.

Key Findings: Both interventions reduce belief, but effectiveness varies significantly depending on label design and placement context. Fact-check tags show stronger impact when sourced directly by platforms rather than third parties.

Real-World Implications: These findings offer clear guidelines for platform designers aiming to enhance truthfulness online—prioritizing specific labeling strategies based on research outcomes.

👉 Emphasis: Beyond mere tagging, the study quantifies belief reduction effects across diverse scenarios.

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