False Rumor (Fake) and Truth News Spread During A Social Crisis

dc.contributor.author Koohikamali, Mehrdad
dc.contributor.author Gerhart, Natalie
dc.date.accessioned 2021-12-24T17:44:58Z
dc.date.available 2021-12-24T17:44:58Z
dc.date.issued 2022-01-04
dc.description.abstract During a social crisis, the truthfulness of information becomes very important, particularly in determining if the information will spark extreme social engagement. We test a research model to examine major determinants of message spread during the 2016 Charlotte, North Carolina protests which occurred after false online rumors spread related to the shooting of Keith Lamont Scott. We hypothesize relationships between message spread (retweets) and extremity, negative emotions (sadness and fear), and social ties (reciprocal reply and location proximity), and Twitter experience. Using Poisson regression, we evaluate and compare two separate models (rumor and truth). Results of the analysis indicate that rumors and truths spread differently. More extreme messages spread less if they are truths, and fear does not relate to the spread of rumors. The results of the study provide theoretical and practical insights into the current research in the areas of information diffusion and social engagement.
dc.format.extent 11 pages
dc.identifier.doi 10.24251/HICSS.2022.365
dc.identifier.isbn 978-0-9981331-5-7
dc.identifier.uri http://hdl.handle.net/10125/79699
dc.language.iso eng
dc.relation.ispartof Proceedings of the 55th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Data Analytics, Data Mining and Machine Learning for Social Media
dc.subject rumor
dc.subject truth
dc.subject social network sites
dc.subject social crisis
dc.title False Rumor (Fake) and Truth News Spread During A Social Crisis
dc.type.dcmi text
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