Authors: M Alizadeh, E Hoes, F Gilardi
Year: 2025
Published in: Scientific Reports, 2023 - nature.com
Institution: Department of Marketing, University of Amsterdam, Department of Social Sciences, Università Degli Studi di Milano, Department of Political Science and International Relations, Università Degli Studi di Milano
Research Area: Social media, Misinformation, Computational Social Science
Discipline: Computational Social Science
Token-based incentives for social media engagement increase the sharing of misinformation, but implementing penalties for objectionable content can reduce this trend without fully eliminating it.
Methods: Survey experiment analyzing the impact of hypothetical token rewards and penalties on user willingness to share different types of news content.
Key Findings: Effect of token-based incentives and penalties on user engagement and the willingness to share misinformation.
DOI: https://doi.org/10.1038/s41598-023-40716-2
Citations: 20