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dc.contributor.advisorChairperson, Graduate Committee: Clemente Izurietaen
dc.contributor.authorKing, Henry Williamen
dc.date.accessioned2020-05-20T15:43:00Z
dc.date.available2020-05-20T15:43:00Z
dc.date.issued2019en
dc.identifier.urihttps://scholarworks.montana.edu/xmlui/handle/1/15773
dc.description.abstractThe current communication of flood risk by government agencies and the scientific community to the citizens living in the floodplain is ineffective. Using the Narrative Policy Framework (NPF), this communication can be enhanced through the use of Hero, Victim, and Victim to Hero character-based narratives. This thesis describes the methods used to inform users of the NPF to construct and test narratives using computational methods. Four natural language processing tasks are described; topic modeling, sentiment analysis, classification, and term frequencies. It was found that using the difference of transformed relative term frequencies produced an adequate vocabulary for each style of narrative. The narratives constructed from these vocabularies were used in work that sought to formalize the narrative construction process and in focus group studies which found that narrative-based scientific messages increased affective response versus traditional scientific messaging.en
dc.language.isoenen
dc.publisherMontana State University - Bozeman, College of Engineeringen
dc.subject.lcshCommunication in science.en
dc.subject.lcshNarration (Rhetoric).en
dc.subject.lcshRisk.en
dc.subject.lcshFloods.en
dc.titleInforming the construction of narrative-based risk communicationen
dc.typeThesisen
dc.rights.holderCopyright 2019 by Henry William Kingen
thesis.degree.committeemembersMembers, Graduate Committee: Clemente Izurieta (chairperson); Indika Kahanda; Mike Wittie.en
thesis.degree.departmentGianforte School of Computing.en
thesis.degree.genreThesisen
thesis.degree.nameMSen
thesis.format.extentfirstpage1en
thesis.format.extentlastpage112en
mus.data.thumbpage80en


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