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dc.contributor.advisorZhuang, Jun
dc.contributor.authorWang, Zonghao
dc.contributor.author0000-0001-5493-4085
dc.date.accessioned2019-07-30T15:10:37Z
dc.date.available2019-07-30T15:10:37Z
dc.date.issued2019
dc.date.submitted2019-03-24 10:44:17
dc.identifier.urihttp://hdl.handle.net/10477/79869
dc.descriptionM.S.
dc.description.abstractSocial media platform, where people share their opinions and information, is filled with massive amount of true or false rumors. The decision maker has at least four options when facing a rumor on social media: spread, debunk, ignore, and seek confirmation first and then decide based on the information received. This paper studies the user’s decision by considering (1) the benefit of spreading true information, (2) the cost of spreading false information, (3) the cost of seeking confirmation, (4) the number of followers of decision makers, (5) the probability of rumor authenticity, and (6) the accuracy of seeking confirmation. Results show that the decision makers are more likely to spread the rumor when the number of followers, the cost of spreading false information, and the probability of falsehood are small, or when the probability of rumor authenticity, the benefit of spreading true information, and the cost of seeking confirmation are large. A real “Hurricane Harvey Immigration” rumor case study is provided, which validates the model results that decision makers with more followers are less likely to spread false information. This paper provides some new insights on understanding the social media users’ rumor spreading decisions when facing rumors.
dc.formatapplication/pdf
dc.language.isoen
dc.publisherState University of New York at Buffalo
dc.rightsUsers of works found in University at Buffalo Institutional Repository (UBIR) are responsible for identifying and contacting the copyright owner for permission to reuse. University at Buffalo Libraries do not manage rights for copyright-protected works and cannot assist with permissions.
dc.subjectOperations research
dc.titleModeling Rumor Spreading Decisions on Social Media
dc.typeThesis
dc.typeText
dc.rights.holderCopyright retained by author.
dc.contributor.departmentIndustrial and Systems Engineering


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