National Leaders’ Usage of Twitter in Response to COVID-19: A Sentiment Analysis

• Main Authors: Yuming Wang, Stephen M Croucher, Erika Pearson
• Format: Article
• Language: English
• Published: Frontiers Media S.A. 2021-09-01
• Series: Frontiers in Communication
• Subjects: twitter; framing; natural language processing; sentiment analysis; COVID-19
• Online Access: https://www.frontiersin.org/articles/10.3389/fcomm.2021.732399/full

Twitter is a powerful tool for world leaders to disseminate public health information and to reach citizens. While Twitter, like other platforms, affords world leaders the opportunity to rapidly present information to citizens, the discourse is often politically framed. In this study, we analysed how leaders’ of the Five Eyes intelligence sharing group use Twitter to frame the COVID-19 virus. Specifically, four research questions were explored: 1) How frequently did each leader tweet about COVID-19 in 2020? 2) Which frames emerged from tweet content of each leader regarding COVID-19? 3) What was the overall tweet valence of each leader regarding COVID-19? and 4) To what extent can leaders’ future tweets be predicted by the data? We used natural language processing (NLP) and conducted sentiment analysis via Python to identify frames and to compare the leaders’ messaging. Results showed that of the leaders, President Trump tweeted the most, with Prime Minister Morrison posting the least number of tweets. The majority of each leaders’ tweets were positive, while President Trump had the most negative tweets. Predictive modelling of tweet behavior was highly accurate.