Yaks versus Tweets: Sentiment Discrepancy During a Social Crisis

dc.contributor.authorKoohikamali, Mehrdad
dc.contributor.authorGerhart, Natalie
dc.date.accessioned2017-12-28T00:53:35Z
dc.date.available2017-12-28T00:53:35Z
dc.date.issued2018-01-03
dc.description.abstractPeople use social networks to get current information, express their emotions and ideas, and connect with others. During a social crisis, there is a heightened value in using a social network to get information. Unfortunately, using a social network during a social crisis also provides fertile grounds for uncertainties and rapid dissemination of misinformation. Currently, there are multiple types of social networks including traditional and anonymous social networks. This research considers the differences between these two types of social networks. During the -˜Concerned Student 1950’, a student activist group at the University of Missouri, crisis at the University of Missouri, we captured users’ messages on two distinct anonymous and traditional social networks. Through sentiment analysis of datasets from Twitter and Yik Yak, we find that people express less total sentiment and more extremity on anonymous social networks. Results show extremity and length positively influence engagement, but total sentiment negatively influence engagement. These findings provide guidance for developers, law enforcement, and social network users.
dc.format.extent8 pages
dc.identifier.doihttps://doi.org/10.24251/HICSS.2018.225
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/50112
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st 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.subjectData Analytics, Data Mining and Machine Learning for Social Media
dc.subjectSocial media, Anonymity, Social Crisis, Sentiment Analysis
dc.titleYaks versus Tweets: Sentiment Discrepancy During a Social Crisis
dc.typeConference Paper
dc.type.dcmiText

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