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
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article

Soft Moderation Effects on Accuracy Perceptions and Sharing Intentions of Inauthentic Political Content on X

Open Science Framework
Bioinformatics and Genomic Networks
article

Soft Moderation Effects on Accuracy Perceptions and Sharing Intentions of Inauthentic Political Content on X

article en

Abstract

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).

Open Science Framework
Peace, Justice and strong institutions
Openalex Percentile: Top 52%
Bioinformatics and Genomic Networks
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Soft Moderation Effects on Accuracy Perceptions and Sharing Intentions of Inauthentic Political Content on X · Open Science Framework (2025) | TGRS Research Map | TGRS