@article{ff7f1e801d324c9b8089f2d35a65a311,
title = "News credibility labels have limited average effects on news diet quality and fail to reduce misperceptions",
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{\textquoteright} 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.",
author = "Kevin Aslett and Guess, {Andrew M.} and Richard Bonneau and Jonathan Nagler and Tucker, {Joshua A.}",
note = "Funding Information: We are grateful to Craig Newmark Philanthropies for supporting this research project. The Center for Social Media and Politics at New York University is supported by funding from the National Science Foundation, the John S. and James L. Knight Foundation, the Charles Koch Foundation, the Hewlett Foundation, Craig Newmark Philanthropies, the Siegel Family Endowment, and NYU{\textquoteright}s Office of the Provost and Global Institute for Advanced Study. NewsGuard did not consult with the authors on the study design or provide funding support for this research. This study has been approved by the Princeton University Institutional Review Board (#12800) and the New York University Institutional Review Board (#FY2020-4278). Special thanks to S. Luks at YouGov for facilitating data collection. We thank T. Mendelberg and three anonymous reviewers for helpful feedback. This work was supported by Craig Newmark Philanthropies. Publisher Copyright: Copyright {\textcopyright} 2022 The Authors,",
year = "2022",
month = apr,
doi = "10.1126/sciadv.abl3844",
language = "English (US)",
volume = "8",
journal = "Science Advances",
issn = "2375-2548",
publisher = "American Association for the Advancement of Science",
number = "18",
}