Social Media and Fake News Detection using Adversarial Collaboration

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dc.contributor.authorDsouza, Karen
dc.contributor.authorFrench, Aaron
dc.date.accessioned2021-12-24T17:16:34Z
dc.date.available2021-12-24T17:16:34Z
dc.date.issued2022-01-04
dc.description.abstractThe diffusion of fake information on social media networks obscures public perception of events, news, and relevant content. Intentional misleading news may promote negative online experiences and influence societal behavioral changes such as increased anxiety, loneliness, and inadequacy. Adversarial attacks target creating misinformation in online information systems. This behavior can be viewed as an instrument to manipulate the online social media networks for cultural, social, economic, and political gains. A method to test a deep learning model- long short-term memory (LSTM) using adversarial examples generated from a transformer model has been presented. The paper attempts to examine features in machine learning algorithms that propagate fake news. Another goal is to evaluate and compare the usefulness of generative adversarial networks with long-term short-term recurrent neural network algorithms in identifying fake news. A closer look at the mechanisms of implementing adversarial attacks in social media systems helps build robust intelligent systems that can withstand future vulnerabilities.
dc.format.extent9 pages
dc.identifier.doi10.24251/HICSS.2022.014
dc.identifier.isbn978-0-9981331-5-7
dc.identifier.urihttp://hdl.handle.net/10125/79344
dc.language.isoeng
dc.relation.ispartofProceedings of the 55th Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectAdversarial Coordination in Collaboration and Social Media Systems
dc.subjectadversarial collaboration
dc.subjectfake news
dc.subjectgan
dc.subjectgenerative adversarial networks
dc.subjectsocial media
dc.titleSocial Media and Fake News Detection using Adversarial Collaboration
dc.type.dcmitext

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Adversarial Coordination in Collaboration and Social Media Systems