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dc.contributor.advisorWarren, Timothy C.
dc.contributor.authorCrain, Michael H.
dc.contributor.authorSelph, Gregory R.
dc.contributor.authorAnderson, Andrew
dc.date.accessioned2019-02-13T22:47:14Z
dc.date.available2019-02-13T22:47:14Z
dc.date.issued2018-12
dc.identifier.urihttps://hdl.handle.net/10945/61269
dc.description.abstractThe rise in the popularity of social media platforms along with the increased global access to communication technologies presents a unique opportunity to study the interaction between violence and the sentiment of social media users. With the availability of vast amounts of open-source data, through mediums such as Twitter, this study examines the effects of civil conflict between state and non-state actors on the sentiment of Twitter users in the countries of Nigeria, Pakistan, and the Philippines from August 1, 2013, to July 31, 2014. With the continued rise of the megacity, a focus area of this study examines the expressed sentiment within the megacities of Lagos, Karachi, and Manila and analyzes how this can be used to predict sentiment expressed in the rest of the country. From this research, we conclude that collective violence produces emotionally charged sentiment within social media toward both the state and non-state actors across various types of civil conflict. Furthermore, we find that this polarizing sentiment varies among the ethnic groups present in each country. This research also concludes that the sentiments expressed in a megacity can serve as a useful predictor of sentiments expressed throughout the rest of the country.en_US
dc.description.urihttp://archive.org/details/measuringsentime1094561269
dc.publisherMonterey, CA; Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleMEASURING SENTIMENT RESPONSE TO COLLECTIVE VIOLENCE THROUGH SOCIAL MEDIAen_US
dc.typeThesisen_US
dc.contributor.secondreaderCunningham, Daniel T.
dc.contributor.departmentDefense Analysis (DA)
dc.contributor.departmentDefense Analysis (DA)
dc.contributor.departmentDefense Analysis (DA)
dc.subject.authorsentiment analysisen_US
dc.subject.authorTwitteren_US
dc.subject.authorviolenceen_US
dc.subject.authorsocial mediaen_US
dc.subject.authorsocial media analysisen_US
dc.subject.authormegacitiesen_US
dc.subject.authorLagosen_US
dc.subject.authorManillaen_US
dc.subject.authorKarachien_US
dc.subject.authorNigeriaen_US
dc.subject.authorPakistanen_US
dc.subject.authorPhilippinesen_US
dc.description.serviceMajor, United States Armyen_US
dc.description.serviceMajor, United States Armyen_US
dc.description.serviceMajor, Army, Canadaen_US
etd.thesisdegree.nameMaster of Science in Information Strategy and Political Warfareen_US
etd.thesisdegree.nameMaster of Science in Information Strategy and Political Warfareen_US
etd.thesisdegree.nameMaster of Science in Defense Analysis (Irregular Warfare)en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineInformation Strategy and Political Warfareen_US
etd.thesisdegree.disciplineInformation Strategy and Political Warfareen_US
etd.thesisdegree.disciplineDefense Analysis (Irregular Warfare)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.identifier.thesisid32321
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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