News credibility labels have limited average effects on news diet quality and fail to reduce misperceptions.

Aslett, K., Guess, A. M., Bonneau, R., Nagler, J., & Tucker, J. A.

Summary

Abstract

As the primary arena for viral misinformation shifts toward transnational threats, the search continues for scalable countermeasures compatible with principles of transparency and free expression. We conducted a randomized field experiment evaluating the impact of source credibility labels embedded in users’ social feeds and search results pages. By combining representative surveys (n = 3337) and digital trace data (n = 968) from a subset of respondents, we provide a rare ecologically valid test of such an intervention on both attitudes and behavior. On average across the sample, we are unable to detect changes in real-world consumption of news from low-quality sources after 3 weeks. We can also rule out small effects on perceived accuracy of popular misinformation spread about the Black Lives Matter movement and coronavirus disease 2019. However, we present suggestive evidence of a substantively meaningful increase in news diet quality among the heaviest consumers of misinformation. We discuss the implications of our findings for scholars and practitioners.

Journal

Science Advances

Altmetric Attention Score

Cite This Paper

Guess, A. M., Malhotra, N., Pan, J., Barberá, P., Allcott, H., Brown, T., ... & Tucker, J. A. (2023). How do social media feed algorithms affect attitudes and behavior in an election campaign?. Science, 381(6656), 398-404.

Bibliography

The following papers were cited within this study.

Title Authors Year Cited by

The following papers were conducted after this paper's publication, and reference this exact study. They can be thought of as 'ensuing from' or 'being derived from' this study.

Title Authors Year Cited by

The following papers are recommended by Semantic Scholar.

Title Authors Year Citations Link