Voting-based Methods for Evaluating Sources and Facts Reliability

2023 IEEE 35TH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, ICTAI(2023)

引用 0|浏览0
暂无评分
摘要
In this work we propose a family of methods that allow to conjointly compute the reliability of a set of information sources and the confidence of the facts on a set of objects, by confronting the sources points of view. We use a (scoring-based) voting method for the evaluation of the trust of the sources, using Condorcet's Jury Theorem arguments in order to identify the truth and the reliable sources. We discuss general theoretical properties that such operators should satisfy, and we study what are the properties satisfied by our methods. We provide an experimental study that shows that we perform better than state of the art methods on the task of finding the truth among the possible facts. We show that we can also adequately evaluate the reliability of the sources of information.
更多
查看译文
关键词
Reliability,Truth Tracking,Voting,Trust
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要