  The emergence of "Fake News" and misinformation via online news and social
media has spurred an interest in computational tools to combat this phenomenon.
In this paper we present a new "Related Fact Checks" service, which can help a
reader critically evaluate an article and make a judgment on its veracity by
bringing up fact checks that are relevant to the article. We describe the core
technical problems that need to be solved in building a "Related Fact Checks"
service, and present results from an evaluation of an implementation.
