Paper Info
Title
T-verifier: Verifying truthfulness of fact statements
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%.
Year
DOI
Venue
2011
10.1109/ICDE.2011.5767859
ICDE
Keywords
Field
DocType
t-verifier,popular place,truthfulness verification,popular search engine,certain information,verifying truthfulness,feature extraction,two-step method,fact statement,internet,web,alternative statement,search result,truthful statement,web user,untruthful information,query processing,genetic algorithms,correlation,web pages,matched filters,computer science,matched filter,genetic algorithm,search engines,merging,search engine
Data mining,Information retrieval,Web page,Computer science,Problem statement,Merge (version control),Database,Genetic algorithm,The Internet
Conference
ISSN
ISBN
Citations 
1063-6382 E-ISBN : 978-1-4244-8958-9
978-1-4244-8958-9
21
PageRank 
References 
Authors
0.84
13
3
Name
Order
Citations
PageRank
Xian Li1221.19
Weiyi Meng22722514.77
Clement T. Yu331711419.96