Poynter: Automated fact-checking can catch claims that slip past human checkers. Here are the two ways they work.

Poynter: Automated fact-checking can catch claims that slip past human checkers. Here are the two ways they work.. “Although media literacy is essential to turning the tide, the use of automation and algorithms could help conduct fact-checking efforts at scale. In his 2018 report, Lucas Graves essentially identified two types of automated fact-checking: fact-checks that verify claims by validating them against an authoritative source or a story that had already been verified, and fact-checks that rely on ‘secondary signals’ such as stance detection — a computing technique that determines whether a piece of text agrees or disagrees with a claim. Here is an overview of journalistic uses and research projects looking at both aspects.”