Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Knowledge-Based Trust: Estimating the Trustworthiness of Web Sources   The quality of web sources has been traditionally evaluated using exogenous
signals such as the hyperlink structure of the graph. We propose a new approach
that relies on endogenous signals, namely, the correctness of factual
information provided by the source. A source that has few false facts is
considered to be trustworthy. The facts are automatically extracted from each
source by information extraction methods commonly used to construct knowledge
bases. We propose a way to distinguish errors made in the extraction process
from factual errors in the web source per se, by using joint inference in a
novel multi-layer probabilistic model. We call the trustworthiness score we
computed Knowledge-Based Trust (KBT). On synthetic data, we show that our
method can reliably compute the true trustworthiness levels of the sources. We
then apply it to a database of 2.8B facts extracted from the web, and thereby
estimate the trustworthiness of 119M webpages. Manual evaluation of a subset of
the results confirms the effectiveness of the method.

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The categories of this paper are: math
22
The categories of this paper are: chao-dyn
37
The categories of this paper are: supr-con
30
The categories of this paper are: q-alg
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The categories of this paper are: hep-th
18
The categories of this paper are: econ
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The categories of this paper are: nlin
23
The categories of this paper are: solv-int
31
The categories of this paper are: ao-sci
33
The categories of this paper are: plasm-ph
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The categories of this paper are: comp-gas
34
The categories of this paper are: chem-ph
29
The categories of this paper are: funct-an
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The categories of this paper are: acc-phys
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The categories of this paper are: gr-qc
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The categories of this paper are: bayes-an