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Propaganda in digital communication, twitter predictive module based on user behavior

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dc.contributor.author Sfeir, Mikel
dc.date.accessioned 2021-07-15T06:36:40Z
dc.date.available 2021-07-15T06:36:40Z
dc.date.issued 2021
dc.identifier.citation Sfeir, M. (2021). Propaganda in digital communication, twitter predictive module based on user behavior (Master's thesis, Notre Dame University-Louaize, Zouk Mosbeh, Lebanon). Retrieved from http://ir.ndu.edu.lb/123456789/1343
dc.identifier.uri http://ir.ndu.edu.lb/123456789/1343
dc.description "A thesis submitted in partial fulfillment of the requirements for the degree of Master of Science in Computer Science"; M.S. -- Faculty of Natural and Applied Sciences, Department of Computer Science, Notre Dame University, Louaize, 2021; Includes bibliographical references (pages 61-63).
dc.description.abstract “In the truth there is no news and in the news there is no truth”, a soviet-era political joke, still applies to the present times. This study will highlight all the communication forms and how they are used nowadays as a tool for propaganda especially in the digital world. When website traffic, clicks, and reach are at stake, information disorder in the form of misleading/fake information would be used as a tool to enhance data metrics across the digital world. This study tackles information disorder during all its phases: creation, production, communication, and the user experience through the process. First, the disruptive user behavior is modeled, and as a classifier, that categorizes Twitter users based on their behaviors, is built. Second, the propaganda detection module is built, which given a trending keywords on Twitter, determines whether or not it is part of a propaganda campaign. This approach takes a hybrid form since the analysis is based on the combination of all four phases of information disorder.” en_US
dc.format.extent iii, 64 pages : color illustrations
dc.language.iso en en_US
dc.publisher Notre Dame University-Louaize en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject.lcsh Propaganda
dc.subject.lcsh Digital communications
dc.title Propaganda in digital communication, twitter predictive module based on user behavior en_US
dc.type Thesis en_US
dc.rights.license This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 United States License. (CC BY-NC 3.0 US)
dc.contributor.supervisor Hage, Hicham, Ph.D. en_US
dc.contributor.department Notre Dame University-Louaize. Department of Computer Science en_US


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