Analysis of Social Media for Social Good

Led by Caitlin Doogan, this project seeks to address the need for insights about adherence to Public Health Measures (PHMs) during the COVID-19 global pandemic. Without a vaccine, the spread of COVID-19 can only be stopped with PHMs such as lockdowns, social distancing and face masks. But as fatigue sets in and compliance decreases, governments need new ways of encouraging people to adhere to PHMs. To do this, they need to know the public's attitudes and understandings of these measures are and why. In this research, we used machine learning methods to analyse millions of tweets from six different countries.