Item request has been placed! ×
Item request cannot be made. ×
loading  Processing Request

Chapter 9 - Opinion Spam Detection in Social Networks

Item request has been placed! ×
Item request cannot be made. ×
loading   Processing Request
  • Author(s): Fei, G.; Li, H.; Liu, B.
  • Source:
    In Sentiment Analysis in Social Networks 2017:141-156
  • Publication Information:
    Elsevier Inc.
  • Document Type:
    Book Chapter
  • Additional Information
    • Affiliation:
      University of Illinois at Chicago, Chicago, IL, United States
    • Keywords:
      Spam detection
      Belief propagation
      Positive-unlabeled learning
      Markov random fields
      Fake reviews
      Social networks
    • Abstract:
      As social media websites have emerged as popular platforms for sharing and spreading real-time information on the Internet, impostors see huge opportunities in taking advantage of such systems to spread distorted information. Online social networks and review websites have become targets of opinion spamming. More and more traditional review websites allow users to “friend” or “follow” each other so as to enhance overall user experience. This has brought significant advances of opinion spam detection using users’ social networks or heterogeneous networks of various entities in a broader sense. In this chapter, different techniques are introduced, such as belief propagation and collective positive-unlabeled learning, that leverage the intricate relations between different entities in the network. We discuss these methods via the application of spam detection on review-hosting websites and popular social media platforms.
    • ISBN:
      978-0-12-804412-4
    • ISBN:
      978-0-12-804438-4
    • ISBN:
      0-12-804412-8
    • ISBN:
      0-12-804438-1
    • Accession Number:
      10.1016/B978-0-12-804412-4.00009-7
    • Accession Number:
      B9780128044124000097
    • Copyright:
      Copyright © 2017 Elsevier Inc. All rights reserved.
  • Citations
    • ABNT:
      FEI, G.; LI, H.; LIU, B. Chapter 9 - Opinion Spam Detection in Social Networks. Sentiment Analysis in Social Networks, [s. l.], p. 141–156, 2017. DOI 10.1016/B978-0-12-804412-4.00009-7. Disponível em: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edselp&AN=B9780128044124000097. Acesso em: 29 set. 2020.
    • AMA:
      Fei G, Li H, Liu B. Chapter 9 - Opinion Spam Detection in Social Networks. Sentiment Analysis in Social Networks. January 2017:141-156. doi:10.1016/B978-0-12-804412-4.00009-7
    • APA:
      Fei, G., Li, H., & Liu, B. (2017). Chapter 9 - Opinion Spam Detection in Social Networks. Sentiment Analysis in Social Networks, 141–156. https://doi.org/10.1016/B978-0-12-804412-4.00009-7
    • Chicago/Turabian: Author-Date:
      Fei, G., H. Li, and B. Liu. 2017. “Chapter 9 - Opinion Spam Detection in Social Networks.” Sentiment Analysis in Social Networks, January, 141–56. doi:10.1016/B978-0-12-804412-4.00009-7.
    • Harvard:
      Fei, G., Li, H. and Liu, B. (2017) ‘Chapter 9 - Opinion Spam Detection in Social Networks’, Sentiment Analysis in Social Networks, pp. 141–156. doi: 10.1016/B978-0-12-804412-4.00009-7.
    • Harvard: Australian:
      Fei, G, Li, H & Liu, B 2017, ‘Chapter 9 - Opinion Spam Detection in Social Networks’, Sentiment Analysis in Social Networks, pp. 141–156, viewed 29 September 2020, .
    • MLA:
      Fei, G., et al. “Chapter 9 - Opinion Spam Detection in Social Networks.” Sentiment Analysis in Social Networks, Jan. 2017, pp. 141–156. EBSCOhost, doi:10.1016/B978-0-12-804412-4.00009-7.
    • Chicago/Turabian: Humanities:
      Fei, G., H. Li, and B. Liu. “Chapter 9 - Opinion Spam Detection in Social Networks.” Sentiment Analysis in Social Networks, January 1, 2017, 141–56. doi:10.1016/B978-0-12-804412-4.00009-7.
    • Vancouver/ICMJE:
      Fei G, Li H, Liu B. Chapter 9 - Opinion Spam Detection in Social Networks. Sentiment Analysis in Social Networks [Internet]. 2017 Jan 1 [cited 2020 Sep 29];141–56. Available from: http://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edselp&AN=B9780128044124000097