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      Misinformation does not reduce trust in accurate search results, but warning banners may backfire

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          Abstract

          People rely on search engines for information in critical contexts, such as public health emergencies–but what makes people trust some search results more than others? Can search engines influence people’s levels of trust by controlling how information is presented? And, how does the presence of misinformation influence people’s trust? Research has identified both rank and the presence of misinformation as factors impacting people’s search behavior. Here, we extend these findings by measuring the effects of these factors, as well as misinformation warning banners, on the perceived trustworthiness of individual search results. We conducted three online experiments (N = 3196) using Covid-19-related queries, and found that although higher-ranked results are clicked more often, they are not more trusted. We also showed that misinformation does not damage trust in accurate results displayed below it. In contrast, while a warning about unreliable sources might decrease trust in misinformation, it significantly decreases trust in accurate information. This research alleviates some concerns about how people evaluate the credibility of information they find online, while revealing a potential backfire effect of one misinformation-prevention approach; namely, that banner warnings about source unreliability could lead to unexpected and nonoptimal outcomes in which people trust accurate information less.

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          Most cited references41

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          An Integrative Model of Organizational Trust

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            Fake news on Twitter during the 2016 U.S. presidential election

            The spread of fake news on social media became a public concern in the United States after the 2016 presidential election. We examined exposure to and sharing of fake news by registered voters on Twitter and found that engagement with fake news sources was extremely concentrated. Only 1% of individuals accounted for 80% of fake news source exposures, and 0.1% accounted for nearly 80% of fake news sources shared. Individuals most likely to engage with fake news sources were conservative leaning, older, and highly engaged with political news. A cluster of fake news sources shared overlapping audiences on the extreme right, but for people across the political spectrum, most political news exposure still came from mainstream media outlets.
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              Less than you think: Prevalence and predictors of fake news dissemination on Facebook

              Fake news sharing in 2016 was rare but significantly more common among older Americans.
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                Author and article information

                Contributors
                scw222@cornell.edu
                Journal
                Sci Rep
                Sci Rep
                Scientific Reports
                Nature Publishing Group UK (London )
                2045-2322
                14 May 2024
                14 May 2024
                2024
                : 14
                : 10977
                Affiliations
                [1 ]Department of Information Science, Cornell University, ( https://ror.org/05bnh6r87) Ithaca, NY USA
                [2 ]Department of Sociology, Cornell University, ( https://ror.org/05bnh6r87) Ithaca, NY USA
                [3 ]Cornell Tech, New York, NY USA
                Article
                61645
                10.1038/s41598-024-61645-8
                11094033
                38744967
                3abe02f9-5419-4c3d-9cdf-ca81ba70b00f
                © The Author(s) 2024

                Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 6 February 2024
                : 8 May 2024
                Categories
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                Custom metadata
                © Springer Nature Limited 2024

                Uncategorized
                trustworthiness evaluation,search ranking,misinformation/disinformation,information reliability warnings,search engines,banner warnings,human behaviour,information technology

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