PANDEMIA E EMOÇÕES: ANÁLISE DAS EMOÇÕES EXPRESSAS NO TWITTER ANTES DA PANDEMIA NA CIDADE DO MÉXICO
Palavras-chave:
COVID 19, pandemia, emoções, redes sociaisResumo
Este estudo tem como objetivo explorar as emoções dos usuários de uma rede social, na Cidade do México, no contexto da pandemia COVID-19. As contribuições deste estudo visam fornecer ferramentas para o desenho de estratégias de saúde mental da população, como um esforço para mitigar as consequências desta crise de saúde.
Downloads
Referências
Saleh SN, Lehmann CU, McDonald SA, Basit MA, Medford RJ. Understanding public perception of coronavirus disease 2019 (COVID-19) social distancing on Twitter. Infection Control & Hospital Epidemiology. 2021;42(2):131–8.
Sallam M, Dababseh D, Yaseen A, Al-Haidar A, Ababneh NA, Bakri FG, et al. Conspiracy beliefs are associated with lower knowledge and higher anxiety levels regarding COVID-19 among students at the University of Jordan. Int J Environ Res Public Health. 2020; 17:4915.
Su Y, Xue J, Liu X, Wu P, Chen J, Chen C, et al. Examining the impact of COVID-19 lockdown in wuhan and Lombardy: a psycholinguistic analysis on Weibo and Twitter. Int J Environ Res Public Health. 2020;17(12):4552.
Xue J, Chen J, Chen C, Zheng C, Li S, Zhu T. Public discourse and sentiment during the COVID 19 pandemic: using latent dirichlet allocation for topic modeling on Twitter. PLoS ONE. 2020;15(9): e0239441.
Xue J, Chen J, Hu R, Chen C, Zheng C, Su Y, Zhu T. Twitter Discussions and emotions about the COVID-19 Pandemic: Machine Learning Approach. J Med Internet Res. 2020;22(11):e20550.
Karmegam D, Mapillairaju BWhat people share about the COVID-19 outbreak on Twitter? An exploratory analysis. BMJ Health & Care Informatics 2020;27:e100133.
Kurten S, Beullens K. #Coronavirus: monitoring the Belgian Twitter discourse on the severe acute respiratory syndrome coronavirus 2 pandemic. Cyberpsychol Behav Soc Netw. 2021;24(2):117-122.
Lee H, Noh EB, Choi SH, Zhao B, Nam EW. Determining public opinion of the COVID-19 pandemic in South Korea and Japan: social network mining on Twitter. Healthc Inform Res. 2020;26(4):335-343.
Li Y, Zeng Y, Liu G, Lu D, Yang H, Ying Z, Hu Y, Qiu J, Zhang C, Fall K, Fang F, Valdimarsdóttir UA, Zhang W, Song H. Public awareness, emotional reactions and human mobility in response to the COVID-19 outbreak in China - a population-based ecological study. Psychol Med. 2020;1-8.
Lwin MO, Lu J, Sheldenkar A, Schulz PJ, Shin W, Gupta R, Yang Y. Global sentiments surrounding the COVID-19 pandemic on Twitter: analysis of Twitter trends. JMIR Public Health Surveill. 2020;6(2):e19447.
Park HW, Park S, Chong M. Conversations and medical news frames on Twitter: infodemiological study on COVID-19 in South Korea. J Med Internet Res. 2020;22(5):e18897.
Saha K, Torous J, Caine ED, De Choudhury M. Psychosocial effects of the COVID-19 pandemic: large-scale quasi-experimental study on social media. J Med Internet Res. 2020 ;22(11):e22600.
Caldera-Villalobos C, Garza-Veloz I, Martínez-Avila N, Delgado-Enciso I, Ortiz-Castro Y, Cabral-Pacheco GA et al. The coronavirus disease (COVID-19) challenge in Mexico: a critical and forced reflection as individuals and society. Front Public Health. 2020; 8:337.
Devi S. COVID-19 exacerbates violence against health workers. Lancet. 2020; 396(10252):658.
Chehal D, Gupta P, Gulati P. COVID-19 pandemic lockdown: an emotional health perspective of Indians on Twitter. Int J Soc Psychiatry. 2021; 67(1):64-72.
Dong W, Tao J, Xia X, Ye L, Xu H, Jiang P et al. Public emotions and rumors spread during the COVID-19 epidemic in China: web-based correlation study. J Med Internet Res. 2020; 22(11):e21933.
Dubey AD. The resurgence of cyber racism during the COVID-19 pandemic and its aftereffects: analysis of sentiments and emotions in Tweets. JMIR Public Health Surveill. 2020; 6(4):e19833.
Fan L, Yu H, Yin Z. Stigmatization in social media: Documenting and analyzing hate speech for COVID-19 on Twitter. Proc Assoc Inf Sci Technol. 2020;57(1):e313.
Hung M, Lauren E, Hon ES, Birmingham WC, Xu J, Su S, Hon SD, Park J, Dang P, Lipsky MS. Social network analysis of COVID-19 sentiments: application of artificial intelligence. J Med Internet Res. 2020; 22(8):e22590.
Karmegam D, Mapillairaju B. What people share about the COVID-19 outbreak on Twitter? An exploratory analysis. BMJ Health Care Inform. 2020; 27(3):e100133.
Kurten S, Beullens K. #Coronavirus: Monitoring the Belgian Twitter Discourse on the Severe Acute Respiratory Syndrome Coronavirus 2 Pandemic. Cyberpsychol Behav Soc Netw. 2021; 24(2):117-122.
Dong W, Tao J, Xia X, Ye L, Xu H, Jiang P et al. Emotions and rumors spread during the COVID-19 epidemic in China: web-based correlation study. J Med Internet Res. 2020; 22(11):e21933.
Abd-Alrazaq A, Alhuwail D, Househ M, Hamdi M, Shah Z. Top Concerns of Tweeters During the COVID-19 Pandemic: Infoveillance Study. J Med Internet Res. 2020; 22(4):e19016.
Arora A, Chakraborty P, Bhatia MPS, Mittal P. Role of Emotion in Excessive Use of Twitter During COVID-19 Imposed Lockdown in India. J Technol Behav Sci. 2020; 1-8.
Chehal D, Gupta P, Gulati P. COVID-19 pandemic lockdown: An emotional health perspective of Indians on Twitter. Int J Soc Psychiatry. 2021; 67(1):64-72.
Downloads
Publicado
Edição
Seção
Licença
Copyright (c) 2021 Escuela de Salud Pública y Ambiente. Facultad de Ciencias Médicas. Universidad Nacional de Córdoba
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial 4.0 International License.
Aquellos autores/as que tengan publicaciones con esta revista, aceptan los términos siguientes:
- Los autores/as conservarán sus derechos de autor y garantizarán a la revista el derecho de primera publicación de su obra, el cuál estará simultáneamente sujeto a la licencia de Creative Commons Reconocimiento-NoComercial 4.0 Internacional. que permite copiar, distribuir, exhibir e interpretar la obra siempre que no se haga con fines comerciales.
- Los autores/as podrán adoptar otros acuerdos de licencia no exclusiva de distribución de la versión de la obra publicada (p. ej.: depositarla en un archivo telemático institucional o publicarla en un volumen monográfico) siempre que se indique la publicación inicial en esta revista.
- Se permite y recomienda a los autores/as difundir su obra a través de Internet (p. ej.: en archivos telemáticos institucionales o en su página web) luego del proceso de publicación. (Véase El efecto del acceso abierto).