• DocumentCode
    3143597
  • Title

    T-verifier: Verifying truthfulness of fact statements

  • Author

    Li, Xian ; Meng, Weiyi ; Yu, Clement

  • Author_Institution
    Dept. of Comput. Sci., Binghamton Univ., Binghamton, NY, USA
  • fYear
    2011
  • fDate
    11-16 April 2011
  • Firstpage
    63
  • Lastpage
    74
  • Abstract
    The Web has become the most popular place for people to acquire information. Unfortunately, it is widely recognized that the Web contains a significant amount of untruthful information. As a result, good tools are needed to help Web users determine the truthfulness of certain information. In this paper, we propose a two-step method that aims to determine whether a given statement is truthful, and if it is not, find out the truthful statement most related to the given statement. In the first step, we try to find a small number of alternative statements of the same topic as the given statement and make sure that one of these statements is truthful. In the second step, we identify the truthful statement from the given statement and the alternative statements. Both steps heavily rely on analysing various features extracted from the search results returned by a popular search engine for appropriate queries. Our experimental results show the best variation of the proposed method can achieve a precision of about 90%.
  • Keywords
    Internet; query processing; T-verifier; Web; feature extraction; truthful statement; truthfulness verification; Computer science; Correlation; Genetic algorithms; Matched filters; Merging; Search engines; Web pages;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Data Engineering (ICDE), 2011 IEEE 27th International Conference on
  • Conference_Location
    Hannover
  • ISSN
    1063-6382
  • Print_ISBN
    978-1-4244-8959-6
  • Electronic_ISBN
    1063-6382
  • Type

    conf

  • DOI
    10.1109/ICDE.2011.5767859
  • Filename
    5767859