Affiliation:
1. UDESC: Universidade do Estado de Santa Catarina
Abstract
Abstract
With the growth of social media, some issues started to affect people's interactions and create polarization regarding sensitive themes. Recently, it happened with the COVID-19 Vaccines when celebrities and public authorities were against vaccines application. This polarization is implicating in the application of vaccines aggravating the impacts of the pandemic. We analyzed data from Twitter to understand how this polarization affected people's psychological aspects compared with traditional vaccines. Results indicated that Tweets related to COVID-19 had more engagement and generated more positive emotions than traditional vaccines. Conversely, traditional vaccines generated more negative emotions than the COVID-19 vaccine. Furthermore, other aspects regarding polarization were explored.
Publisher
Research Square Platform LLC
Reference25 articles.
1. Diphtheria outbreak in Jakarta and Tangerang, Indonesia: Epidemiological and clinical predictor factors for death;Arguni E;PLoS ONE,2021
2. TSA-CNN-AOA: Twitter sentiment analysis using CNN optimized via arithmetic optimization algorithm;Aslan S;Neural Comput Appl,2023
3. Affective decision making: A theory of optimism bias;Bracha A;Games Econ Behav,2012
4. Buder J, Rabl L, Feiks M, Badermann M, Zurstiege G. (2021). Does negatively toned language use on social media lead to attitude polarization? Computers in Human Behavior, 116(December 2020), 106663. https://doi.org/10.1016/j.chb.2020.106663.
5. Chung CK, Pennebaker JW. (2013). Linguistic Inquiry and Word Count (LIWC). Applied Natural Language Processing, 2015, 206–229. https://doi.org/10.4018/978-1-60960-741-8.ch012.