Brazilian discussion about COVID-19 lockdown policies on Twitter
Resumo
The COVID-19 pandemic affected all countries worldwide, causing big changes in people's routines due to public policies for disease spreading control. Among the most impacting measures were social distancing policies and lockdown, leading to an intense discussion by the population. To describe this discussion in Brazil, this research applied data science and natural language methods to analyze posts on Twitter. It processed more than 12.9 million tweets between 2020 and 2021, and the results highlighted the main topics discussed by Brazilian Twitter users, such as the ideological-political component. The approach employed in this research proved to help extract valuable information in massive data mass.
Referências
Cevik, M., Tate, M., Lloyd, O., et al. (2021). SARS-CoV-2, SARS-CoV, and MERS-CoV viral load dynamics, duration of viral shedding, and infectiousness: a systematic review and meta-analysis. The Lancet Microbe, v. 2, n. 1, p. e13-e22.
Chehal, D., Gupta, P. and Gulati, P. (2021). COVID-19 pandemic lockdown: An emotional health perspective of Indians on Twitter. International Journal of Social Psychiatry, v. 67, n. 1, p. 64-72.
Cucinotta, D. and Vanelli, M. (2020). WHO Declares COVID-19 a Pandemic. Acta Biomed, v. 91, p. 157-160.
Dantas, G., Siciliano, B., França, B. B., Da Silva, C. M. and Arbilla, G. (2020). The impact of COVID-19 partial lockdown on the air quality of the city of Rio de Janeiro, Brazil. Science of the total environment, v. 729, p. 139085.
Guzzetta, G., Riccardo, F., Marziano, V., et al. (2020). The impact of a nation-wide lockdown on COVID-19 transmissibility in Italy. arXiv preprint arXiv:2004.12338, Johns Hopkins University (2022). COVID-19 Dashboard. https://coronavirus.jhu.edu/map.html, [accessed on Jul 3].
Jørgensen, F. J., Bor, A., Lindholt, M. F. and Petersen, M. B. (2020). Lockdown evaluations during the first wave of the COVID-19 pandemic. Aarhus: Aarhus University. doi, v. 10.
Kanitkar, T. (2020). The COVID-19 lockdown in India: Impacts on the economy and the power sector. Global transitions, v. 2, p. 150-156.
Lau, H., Khosrawipour, V., Kocbach, P., et al. (2020). The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China. Journal of travel medicine,
Mahato, S., Pal, S. and Ghosh, K. G. (2020). Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi, India. Science of The Total Environment, v. 730, p. 139086.
Nakada, L. Y. K. and Urban, R. C. (2020). COVID-19 pandemic: Impacts on the air quality during the partial lockdown in São Paulo state, Brazil. Science of the Total Environment, v. 730, p. 139087.
Zou, L. and Song, W. W. (2016). LDA-TM: A two-step approach to Twitter topic data clustering. In 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE. http://ieeexplore.ieee.org/document/7529581/.
Chehal, D., Gupta, P. and Gulati, P. (2021). COVID-19 pandemic lockdown: An emotional health perspective of Indians on Twitter. International Journal of Social Psychiatry, v. 67, n. 1, p. 64-72.
Cucinotta, D. and Vanelli, M. (2020). WHO Declares COVID-19 a Pandemic. Acta Biomed, v. 91, p. 157-160.
Dantas, G., Siciliano, B., França, B. B., Da Silva, C. M. and Arbilla, G. (2020). The impact of COVID-19 partial lockdown on the air quality of the city of Rio de Janeiro, Brazil. Science of the total environment, v. 729, p. 139085.
Guzzetta, G., Riccardo, F., Marziano, V., et al. (2020). The impact of a nation-wide lockdown on COVID-19 transmissibility in Italy. arXiv preprint arXiv:2004.12338, Johns Hopkins University (2022). COVID-19 Dashboard. https://coronavirus.jhu.edu/map.html, [accessed on Jul 3].
Jørgensen, F. J., Bor, A., Lindholt, M. F. and Petersen, M. B. (2020). Lockdown evaluations during the first wave of the COVID-19 pandemic. Aarhus: Aarhus University. doi, v. 10.
Kanitkar, T. (2020). The COVID-19 lockdown in India: Impacts on the economy and the power sector. Global transitions, v. 2, p. 150-156.
Lau, H., Khosrawipour, V., Kocbach, P., et al. (2020). The positive impact of lockdown in Wuhan on containing the COVID-19 outbreak in China. Journal of travel medicine,
Mahato, S., Pal, S. and Ghosh, K. G. (2020). Effect of lockdown amid COVID-19 pandemic on air quality of the megacity Delhi, India. Science of The Total Environment, v. 730, p. 139086.
Nakada, L. Y. K. and Urban, R. C. (2020). COVID-19 pandemic: Impacts on the air quality during the partial lockdown in São Paulo state, Brazil. Science of the Total Environment, v. 730, p. 139087.
Zou, L. and Song, W. W. (2016). LDA-TM: A two-step approach to Twitter topic data clustering. In 2016 IEEE International Conference on Cloud Computing and Big Data Analysis (ICCCBDA). IEEE. http://ieeexplore.ieee.org/document/7529581/.
Publicado
28/09/2022
Como Citar
XAVIER, Fernando; AMARAL, Gustavo Rick; SARAIVA, Antonio Mauro.
Brazilian discussion about COVID-19 lockdown policies on Twitter. In: ESCOLA REGIONAL DE COMPUTAÇÃO DO CEARÁ, MARANHÃO E PIAUÍ (ERCEMAPI), 10. , 2022, São Luís.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2022
.
p. 21-30.
DOI: https://doi.org/10.5753/ercemapi.2022.225834.
