Using Twitter Data to Monitor Immigration Sentiment

This paper aims to illustrate how attitudes towards immigration can be measured using Twitter data and natural processing language.

Identifying how COVID-19 related misinformation reacts to the announcement of the UK national lockdown. An interrupted time-series study

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 (n=2,531,888).