How to determine the truthfulness of a piece of information becomes an increasingly urgent need for users. In this paper, we propose a method called MFSV, to determine the truthfulness of fact statements. We first calculate the similarity between a piece of related information and the target fact statement and capture the credibility ranking of the related information through combining importance ranking and popularity ranking. Based on these, contributions of a piece of related information to the truthfulness determination is derived. Then we propose two methods to determine the truthfulness of the target fact statement. At last, we run comprehensive experiments to show MFSV's availability and high accuracy. © Springer-Verlag 2013.
CITATION STYLE
Wang, T., Zhu, Q., & Wang, S. (2013). MFSV: A truthfulness determination approach for fact statements. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7826 LNCS, pp. 155–163). https://doi.org/10.1007/978-3-642-37450-0_11
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