Tell me the Truth: Separating Fact from Fiction in Social Media Following Extreme Events

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dc.contributor.authorByrd, Katie
dc.contributor.authorJohn, Richard
dc.date.accessioned2020-12-24T19:33:15Z
dc.date.available2020-12-24T19:33:15Z
dc.date.issued2021-01-05
dc.description.abstractWith increased reliance on social media to spread important information during extreme events, users’ reported inability to distinguish fact from fiction is a growing concern. This experiment (N=398) tests whether feedback training improves performance in identifying true and false social media content during extreme events. Respondents completed two sets of 16 binary classification judgments (true or false) of actual social media posts following either natural disasters or soft-target terror attacks. Respondents randomly assigned to the feedback training condition received feedback after each of the 16 training judgments, while those assigned to the control condition did not receive any feedback following the training judgments. Feedback training did not increase social media content classification performance for either natural disasters or soft-target terror events. Individuals’ performance for correctly identifying false content was negatively related to self- identified political conservatism and was positively related to a measure of cognitive reflection.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2021.332
dc.identifier.isbn978-0-9981331-4-0
dc.identifier.urihttp://hdl.handle.net/10125/70946
dc.language.isoEnglish
dc.relation.ispartofProceedings of the 54th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDecision Making in Online Social Networks
dc.subjectfake news
dc.subjectfeedback learning
dc.subjectnatural disasters
dc.subject(soft-target) terrorism
dc.subjecttruth detection
dc.titleTell me the Truth: Separating Fact from Fiction in Social Media Following Extreme Events
prism.startingpage2718

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