Understanding the Societal Disruption due to COVID-19 via User Tweets

In this paper, we collect data from Twitter and conduct a linguistic analysis of the user tweets to understand the social and economic disruption caused by the COVID-19 pandemic. To better appreciate peoples’ opinions and concerns with regards to the socio-economic conditions of addiction, mental health, unemployment and immigration, we collect data for a period of approximately 3 months in the be...