Qualitative and Quantitative Assessments of Topic Gists Extracted Using Machine Learning from Social Media Messages about COVID-19

Machine-learning models were used to extract the gist of topics on social media during the COVID-19 pandemic, using fuzzy-trace theory as a framework. Extracted topics were rated as highly coherent by students and Mturkers. Social media topics about lockdowns and comparisons to flu have important implications for public health.