Addressing Selection Bias in Event Studies with General-Purpose Social Media Panels

Abstract: Data from Twitter have been employed in prior research to study the impacts of events. Conventionally, researchers use keyword-based samples of tweets to create a panel of Twitter users who mention event-related keywords during and aer an event. However, the keyword-based sampling is limited in its objectivity dimension of data and information quality. First, the technique suers from selection bias since users who discuss an event are already more likely to discuss event-related topics beforehand.