2020
DOI: 10.31234/osf.io/a7huq
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"Fact-checking" videos reduce belief in misinformation and improve the quality of news shared on Twitter

Abstract: "Fake news" are widely acknowledged as an important challenge for Western democracies. Yet, surprisingly little effort has been devoted to measuring the effects of various counter-strategies. We address this void by running a pre-registered field experiment analyzing the causal effects of popular fact-checking videos on both believing and sharing fake news among Twitter users (N = 1,600). We find that the videos improve truth discernment ability as measured by performance in a fake news quiz immediately after … Show more

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Cited by 10 publications
(22 citation statements)
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“…We use the Qualtrics Web Service feature to run this co-variate adaptive randomization remotely using an API. 6 Balance. Table 1 in the text summarized the covariate distributions within each of the three treatment groups.…”
Section: Treatment Assignmentmentioning
confidence: 99%
“…We use the Qualtrics Web Service feature to run this co-variate adaptive randomization remotely using an API. 6 Balance. Table 1 in the text summarized the covariate distributions within each of the three treatment groups.…”
Section: Treatment Assignmentmentioning
confidence: 99%
“…Nassetta & Gross (2020) found that YouTube's media label became more effective by simply changing the color. Bor et al (2020) show that while exposure to fact-checking videos "improved participants' ability to assess the credibility of news story headlines," they continued to share "false and untrustworthy news sources on Twitter." The importance of the medium also applied to disinformation itself: Hameleers et al (2020) found that "multimodal disinformation was perceived as slightly more credible than textual disinformation" and that "the presence of textual and visual fact checkers resulted in lower levels of credibility."…”
Section: Figure 3 Distribution Of Platform Interventions Vs Distribution Of Countermeasures Studiedmentioning
confidence: 97%
“…Nassetta & Gross (2020) evaluate the impact of placing state-sponsored media labels and disclaimers below RT YouTube videos on participant perceptions. Bor et al (2020) measured how much fake news and disinformation was shared on the Twitter feeds of users after exposure to fact-checking credibility; whether initial priming about evaluating the accuracy of information impacted user ability to better discern disinformation; if legislators were less likely to produce disinformation in their public statements when presented with information about the reputational risks of negative fact-checking ratings; how differences in judgement processes impact whether individuals will update false beliefs after being presented with corrective information, differences in effectiveness of various accuracy prompt intervention approaches; the difference in effectiveness of crowdsourced versus academic corrections to false information; the effectiveness of audience-targeted communication strategies for disinformation disclosure; and the roles of inattention emotionality and deliberation in influencing accurate identification of disinformation. information videos.…”
Section: Figure 3 Distribution Of Platform Interventions Vs Distribution Of Countermeasures Studiedmentioning
confidence: 99%
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