COVID-19 Mask Use Geocoded Twitter Data - Nov. 2020

Data collection was conducted through an open-sourced Twitter scraper built by the researchers using the Twitter API and the Python library Tweepy and consisted of periodic data grabs over a 30-day period between November 1-30, 2020. The data collection was based on the terms masksdontwork, kungflu, scamdemic, plandemic, Hydroxychloroquine, Chinavirus, Chinesevirus, and herdimmunity, which were observed to be popular among the conservative users who engage with COVID-19-related content on Twitter prior to data collection. Data include both hashtags and keywords/phrases included in the tweet text. The data collection yielded 25,152 geocoded tweets in the study timeframe.