Sensing the pulse of the pandemic: unveiling the geographical and demographic disparities of public sentiment toward COVID-19 through social media
Author:
Affiliation:
1. Department of Geography, Texas A&M University, College Station, TX, USA
2. Department of Geography, University of Washington, Seattle, WA, USA
3. Department of Environmental Sciences, Emory University, Atlanta, GA, USA
Funder
Human Networks and Data Science program in the U.S. National Science Foundation
Data Resource Develop Program at the Texas A&M Institute of Data Science
Publisher
Informa UK Limited
Link
https://www.tandfonline.com/doi/pdf/10.1080/15230406.2024.2323489
Reference49 articles.
1. Deep Learning-Based Sentiment Analysis of COVID-19 Vaccination Responses from Twitter Data
2. Sentiment analysis and its applications in fighting COVID-19 and infectious diseases: A systematic review
3. Alqurashi S. Alhindi A. & Alanazi E. (2020). Large Arabic Twitter dataset on COVID-19. http://arxiv.org/abs/2004.04315
4. Less is more? How demographic sample weights can improve public opinion estimates based on Twitter data;Barbera P.;Work Pap NYU,2016
5. The Digital Divide Among Twitter Users and Its Implications for Social Research
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