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 |
The following license files are associated with this item: