COVID-19 is unique in that it is the first global pandemic occurring amidst a crowded information environment that has facilitated the proliferation of misinformation on social media. Dangerous misleading narratives have the potential to disrupt ‘official’ information sharing at major government announcements. Using an interrupted time-series design, we test the impact of the announcement of the first UK lockdown on short-term trends of misinformation on Twitter. We utilise a novel dataset of all COVID-19-related social media posts on Twitter from the (...) UK 48 hours before and 48 hours after the announcement. We find that while the number of tweets increased immediately post announcement, there was no evidence of an increase in misinformation-related tweets. We found an increase in COVID-19-related bot activity post-announcement. Topic modelling of misinformation tweets revealed four distinct clusters: ‘government and policy’, ‘symptoms’, ‘pushing back against misinformation’ and ‘cures and treatments’. (shrink)

History is popular with health policymakers, if the regularity with which they invoke historical anecdotes to support policy change is used as an indicator. Yet the ways in which they ‘use’ history vary enormously, as does its impact. This paper explores, from the perspective of a UK academic historian, the development of ‘applied’ history in health policy. It draws on personal experience of different types and levels of engagement with policymakers, and highlights mechanisms through which this dialogue and partnership can (...) be made more efficient, effective, and intellectually rewarding for all involved. (shrink)