Date of Award:
5-2015
Document Type:
Thesis
Degree Name:
Master of Science (MS)
Department:
Computer Science
Committee Chair(s)
Kyumin Lee
Committee
Kyumin Lee
Committee
Amanda Lee Hughes
Committee
Young-Woo Kwon
Abstract
During natural disasters or crises, users on social media tend to easily believe contents of postings related to the events, and retweet the postings, hoping that the postings will be reached by many other users. Unfortunately, there are malicious users who understand the tendency and post misinformation such as spam and fake messages with expecting wider propagation. To resolve the problem, in this paper we conduct a case study of the 2013 Moore Tornado and Hurricane Sandy. Concretely, we (i) understand behaviors of these malicious users; (ii) analyze properties of spam, fake and legitimate messages; (iii) propose flat and hierarchical classification approaches; and (iv) detect both fake and spam messages with even distinguishing between them. Our experimental results show that our proposed approaches identify spam and fake messages with 96.43% accuracy and 0.961 F-measure.
Checksum
02d2c9a981154168196400eb35fb72d7
Recommended Citation
Rajdev, Meet, "Fake and Spam Messages: Detecting Misinformation During Natural Disasters on Social Media" (2015). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 4462.
https://digitalcommons.usu.edu/etd/4462
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