淡江大學機構典藏:Item 987654321/108748
English  |  正體中文  |  简体中文  |  Items with full text/Total items : 62797/95867 (66%)
Visitors : 3747199      Online Users : 504
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
Scope Tips:
  • please add "double quotation mark" for query phrases to get precise results
  • please goto advance search for comprehansive author search
  • Adv. Search
    HomeLoginUploadHelpAboutAdminister Goto mobile version
    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/108748


    Title: A Real Case Analytics on Social Network of Opinion Spammers
    Authors: Wang, Chih-Chien;Day, Min-Yuh;Lin, Yu-Ruei
    Keywords: Fake review;Spammer detection;Social network analysis
    Date: 2016-07-30
    Issue Date: 2016-12-07 02:10:39 (UTC+8)
    Publisher: IEEE
    Abstract: People share their consumption experience and opinions to product as online product reviews or word-of-mouths. Consumers consult the product reviews posted by other consumers before making purchase decision. As a result, the influence of online product reviews increase dramatically. Since the influence of product reviews increase, firms may commit to improve product quality to earn positive opinions. Nevertheless, some firms choose the shortcut by hiring people to write positive fake reviews to promote themselves, as well as write negative fake reviews to demote product of their competitors. The fake product reviews may influent or even manipulate the majority of public opinion. However, fake reviewers always hide the real identities of themselves. Audiences have no idea about who are spammers. This paper analyzes a real case of fake reviews in Taiwan by social network techniques. To our knowledge, few previous studies had use social network techniques to detect fake reviewer. Thus, we propose a novel method of using social network analysis indices as features to detect spammer. The relationship of authors of product reviews posts and their replies might be used for spammer group detection.
    Relation: Proceedings of the 2016 IEEE 17th International Conference on Information Reuse and Integration (IEEE IRI 2016)
    Appears in Collections:[Graduate Institute & Department of Information Management] Proceeding

    Files in This Item:

    File SizeFormat
    index.html0KbHTML289View/Open

    All items in 機構典藏 are protected by copyright, with all rights reserved.


    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - Feedback