 In trying to tackle the spread of misinformation, many online platforms have implemented algorithms. For instance, in response to “fake news”, programmers have built automated systems that aim to judge the veracity of online stories. Researchers explore which features of an article are the most reliable identifiers of fake news (Temming 2018b: 24). Clearly, these sorts of tools have some promise as part of the enterprise of social epistemology. But their power to discriminate true stories from false ones still has limited reliability. Furthermore, as O’Connor and Weatherall (2019) point out (drawing on the work of Holman (2015) who looks at arms races between pharmaceutical companies and regulators) online misinformation constitutes a kind of arms race. As platforms and programmers and governments develop tools to fight it, the purveyors of misinformation (the Russian state, various partisan groups, advertisers, trolls, etc.) will develop new methods of shaping public belief.