Truth Discovery with Multiple Conflicting InformationProviders on the Web.
Abstract:
The world-wide web has become the
most important information source for most of us. Unfortunately, there is no
guarantee for the correctness of information on the web. Moreover, different
web sites often provide conflicting in-formation on a subject, such as
different specifications for the same product.
In this paper we propose a new
problem called Veracity that is conformity to truth, which studies how to find
true facts from a large amount of conflicting information on many subjects that
is provided by various web sites. We design a general framework for the
Veracity problem, and invent an algorithm called Truth Finder, which utilizes
the relationships between web sites and their information, i.e., a web site is
trustworthy if it provides many pieces of true information, and a piece of
information is likely to be true if it is provided by many trustworthy web
sites.
Our experiments show that Truth Finder successfully finds true facts
among conflicting information, and identifies trustworthy web sites better than
the popular search engines.
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