A comparative analysis of perception of theme the topic natural disaster in Brazil and Portugal through big data tools

Authors

  • Rodrigo Rudge Ramos Ribeiro Fundação Getulio Vargas

DOI:

https://doi.org/10.14195/1647-7723_32-extra1_10

Keywords:

Natural disasters, perception, big data

Abstract

This article performs a comparative analysis of the perception and social interest in the theme topic of natural disasters in Brazil and Portugal, using big data search tools. For this analysis, data were collected from general and scientific publications over a period of 10 years (between 2012 and 2022), using online search tools on the subject of natural disasters and isolated keywords related to biological, geophysical, climatological, hydrological, and meteorological disasters. The results enabled a comparison ofmade it possible to compare social interest and scientific publications related to these events. In Brazil, the greatest search for the theme of natural disasters occurs in January 2019, and in Portugal this search peak occurred in July 2016. The use of search tools to analysze the production and search for relevant information on online platforms proved to be valid and opportune to for carrying out a comparative analysis of the social perception between the two countries.

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References

BANCO MUNDIAL (2023). World Bank Open Data. Disponível em: https://data.worldbank.org/?type=shaded, acesso em: 16 julho 2023.

Castro, A. L. C. de e Calheiros, L. B. (2002). Manual de medicina de desastres. Ministério da Integração Nacional. Secretaria Nacional de Defesa Civil. Brasília, 104 p.

CEMADEN - CENTRO NACIONAL DE MONITORAMENTO E ALERTAS DE DESASTRES NATURAIS (2016). Disponível em: http://www2.cemaden.gov.br/categoria/ameacas-naturais/, acesso em: 19 julho 2023.

CRED - Centre for Research on the Epidemiology of Disasters (2022). Disasters in numbers. Brussels: CRED; 2023. Disponível em: https://cred.be/sites/default/files/2022_EMDAT_report.pdf, acesso em: 16 julho 2023.

CEPED-UFSC “ CENTRO UNIVERSITÃRIO DE ESTUDOS E PESQUISAS SOBRE DESASTRES / UNIVERSIDADE FEDERAL DE SANTA CATARINA (2011). Atlas brasileiro de desastres naturais 1991 a 2010, Volume Brasil, UFSC-CEPED.

EM-DAT (2023). Disponível em: https://www.emdat.be/, acesso em: 16 julho 2023.

Ford, J. D., Tilleard, S. E., Berrang-Ford, L., Araos, M., Biesbroek, R., Lesnikowski, A. C., MacDonald, G. K, Chen Chen, A. H. e Bizikova, L. (2016).

Opinion: Big data has big potential for applications to climate change adaptation. Proceedings of the National Academy of Sciences, 113(39): 10729-10732.

Heo, S., Ifaei, P., Moosazadeh, M. e Yoo, C. (2022). Public perception assessment on climate change and natural disaster influence using social media big-data: A case study of USA. In: EGU General Assembly Conference Abstracts (pp. EGU22-3482).

IPCC - INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE (2023). Summary for Policymakers. In: Climate Change 2023: Synthesis Report. A Report of the Intergovernmental Panel on Climate Change. Contribution of Working Groups I, II and III to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [Core Writing Team, H. Lee and J. Romero (eds.)]. IPCC, Geneva, Switzerland, 36 pages (in press).

IPCC - INTERGOVERNMENTAL PANEL ON CLIMATE CHANGE (2022). Climate Change 2022: Impacts, Adaptation, and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change [H.-O. Pörtner, D.C. Roberts, M. Tignor, E.S. Poloczanska, K. Mintenbeck, A. Alegría, M. Craig, S. Langsdorf, S. Löschke, V. Möller, A. Okem, B. Rama (eds.)]. Cambridge University Press.

Cambridge University Press, Cambridge, UK and New York, NY, USA, 3056 p. DOI: https://doi.org/10.1017/9781009325844

IPMA - INSTITUTO PORTUGUÊS DO MAR E DA ATMOSFERA. Disponível em: https://www.ipma.pt/pt/index.html, acesso em: 19 julho 2023.

Li, R., Crowe, J., Leifer, D., Zou, L. e Schoof, J. (2019). Beyond big data: Social media challenges and opportunities for understanding social perception of energy. Energy Research & Social Science, 56, 101217.

Parizzi, M. G (2014). Desastres naturais e induzidos e o risco urbano. Geonomos, v. 22, n. 1, 1-9.

Ribeiro, R. R. R. e Sulaiman, S. N. (2020). O risco climático na agricultura do Brasil no contexto de ferramentas de busca (big data). Territorium “ Revista Internacional de Riscos, 27(II): Apropriação do espaço e territórios em risco; Editores: RISCOS - Associação Portuguesa de Riscos, Prevenção e Segurança; IUC “ Imprensa da Universidade de Coimbra, ISSN: 0872-8941, 21-27. DOI: https://doi.org/10.14195/1647-7723_27-2_2

Ropeik, D. (2010). How Risky is it, really? McGraw-Hill Professional Publishing.

UNITED NATIONS GLOBAL PULSE (2022). Annual Report UN Global Pulse, p 32.

UNITED NATIONS GLOBAL PULSE (2015). Using Twitter to Measure Global Engagement on Climate Change. Global Pulse Project Series, 7.

WHO - World Health Organization (2023). COVID-19 Dashboard. World Health Organization, 2020. Disponível em: https://covid19.who.int/, acesso em: 16 julho 2023.

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Published

2025-12-17

Issue

No. 32(N.º Especial) (2025): Natural Risks and Territorial Conflicts: Environment and Soil

Section

Articles

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