Combating Fake News on Social Media with Source Ratings: The Effects of User and Expert Reputation Ratings

Journal of Management Information Systems, Forthcoming

39 Pages Posted: 22 Dec 2017 Last revised: 22 Feb 2019

See all articles by Antino Kim

Antino Kim

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies

Patricia Moravec

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies

Alan R. Dennis

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies

Date Written: February 1, 2019

Abstract

As a remedy against fake news on social media, we examine the effectiveness of three different mechanisms for source ratings that can be applied to articles when they are initially published: expert rating (where expert reviewers fact-check articles, which are aggregated to provide a source rating), user article rating (where users rate articles, which are aggregated to provide a source rating), and user source rating (where users rate the sources themselves). We conducted two experiments and found that source ratings influenced social media users’ beliefs in the articles and that the rating mechanisms behind the ratings mattered. Low ratings—which would mark the usual culprits in spreading fake news—had stronger effects than did high ratings. When the ratings were low, users paid more attention to the rating mechanism, and, overall, expert ratings and user article ratings had stronger effects than did user source ratings. We also noticed a second-order effect, where ratings on some sources led users to be more skeptical of sources without ratings, even with instructions to the contrary. A user’s belief in an article, in turn, influenced the extent to which users would engage with the article (e.g., read, like, comment and share). Lastly, we found confirmation bias to be prominent; users were more likely to believe—and spread—articles that aligned with their beliefs. Overall, our results show that source rating is a viable measure against fake news and propose how the rating mechanism should be designed.

Keywords: Fake news, misinformation, social media, article rating, source rating, expert rating, user rating, fact-checking

Suggested Citation

Kim, Antino and Moravec, Patricia and Dennis, Alan R., Combating Fake News on Social Media with Source Ratings: The Effects of User and Expert Reputation Ratings (February 1, 2019). Journal of Management Information Systems, Forthcoming. Available at SSRN: https://ssrn.com/abstract=3090355 or http://dx.doi.org/10.2139/ssrn.3090355

Antino Kim (Contact Author)

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies ( email )

Business 670
1309 E. Tenth Street
Bloomington, IN 47401
United States
812.855.2905 (Phone)

Patricia Moravec

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies ( email )

Business 670
1309 E. Tenth Street
Bloomington, IN 47401
United States

Alan R. Dennis

Indiana University - Kelley School of Business - Department of Operation & Decision Technologies ( email )

Business 670
1309 E. Tenth Street
Bloomington, IN 47401
United States

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