Paper Info
Title
CredEye: A Credibility Lens for Analyzing and Explaining Misinformation.
Abstract
Rapid increase of misinformation online has emerged as one of the biggest challenges in this post-truth era. This has given rise to many fact-checking websites that manually assess doubtful claims. However, the speed and scale at which misinformation spreads in online media inherently limits manual verification. Hence, the problem of automatic credibility assessment has attracted great attention. In this work, we present CredEye, a system for automatic credibility assessment. It takes a natural language claim as input from the user and automatically analyzes its credibility by considering relevant articles from the Web. Our system captures joint interaction between language style of articles, their stance towards a claim and the trustworthiness of the sources. In addition, extraction of supporting evidence in the form of enriched snippets makes the verdicts of CredEye transparent and interpretable.
Year
DOI
Venue
2018
10.1145/3184558.3186967
WWW '18: The Web Conference 2018 Lyon France April, 2018
Field
DocType
ISBN
Data science,Fact checking,World Wide Web,Credibility,Computer science,Trustworthiness,Misinformation,Natural language,Digital media
Conference
978-1-4503-5640-4
Citations 
PageRank 
References 
4
0.40
12
Authors
4
Name
Order
Citations
PageRank
Kashyap Popat1725.70
Subhabrata Mukherjee223621.95
Jannik Strötgen349238.20
Gerhard Weikum4127102146.01