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Misinformation Detection in Social Media

Abstract The pervasive use of social media gives it a crucial role in helping the public perceive reliable information. Meanwhile, the openness and timeliness of social networking sites also allow for the rapid creation and dissemination of misinformation. It becomes increasingly difficult for online users to find accurate and trustworthy information. As witnessed in recent incidents of misinformation, it escalates quickly and can impact social media users with undesirable consequences and wreak havoc instantaneously. Different from some existing research in psychology and social sciences about misinformation, social media platforms pose unprecedented challenges for misinformation detection. First, intentional spreaders of misinformation will active... (more)
Created Date 2019
Contributor Wu, Liang (Author) / Liu, Huan (Advisor) / Tong, Hanghang (Committee member) / Doupé, Adam (Committee member) / Davison, Brian D (Committee member) / Arizona State University (Publisher)
Subject Computer science / Artificial intelligence / Data mining / Machine learning / Misinformation / Social media / Social networks
Type Doctoral Dissertation
Extent 135 pages
Language English
Note Doctoral Dissertation Computer Science 2019
Collaborating Institutions Graduate College / ASU Library
Additional Formats MODS / OAI Dublin Core / RIS

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Description Dissertation/Thesis