Soft Moderation Effects on Accuracy Perceptions and Sharing Intentions of Inauthentic Political Content on X
This project contains the stimuli and data used to empirically evaluate the effectiveness of soft moderation interventions on X - warning labels, warning bundles (labels combined with community notes), and warning covers - in reducing perceived accuracy and sharing intentions of inauthentic political content across two contexts: (1) the 2024 U.S. presidential elections (n1 = 925), and (2) a non-election setting (n2 = 649).
Publication Details
- Journal
- Open Science Framework
- Published
- 2025-01-01
- DOI
- https://doi.org/10.17605/osf.io/pj895
- Primary Topic
- Bioinformatics and Genomic Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00