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The Covid-19 pandemic presented an unprecedented global public healthemergency, and concomitantly an unparalleled opportunity to investigate publicresponses to adverse social conditions. The widespread ability to post messagesto social media platforms provided an invaluable outlet for such an outpouringof public sentiment, including not only expressions of social solidarity, butalso the spread of misinformation and misconceptions around the effect andpotential risks of the pandemic. This archive of message content thereforerepresents a key resource in understanding public responses to health crises,analysis of which could help to inform public policy interventions to betterrespond to similar events in future. We present a benchmark database of publicsocial media postings from the United Kingdom related to the Covid-19 pandemicfor academic research purposes, along with some initial analysis, including ataxonomy of key themes organised by keyword. This release supports the findingsof a research study funded by the Scottish Government Chief Scientists' Officethat aims to investigate social sentiment in order to understand the responseto public health measures implemented during the pandemic.

CovidTracker: A comprehensive Covid-related social media dataset for NLP tasks