Climate Crisis in Rio de Janeiro City: information agents and territories in Twitter

Authors

DOI:

https://doi.org/10.5380/dma.v62i0.86679

Keywords:

climate crisis, Rio de Janeiro, Twitter, information, climate justice

Abstract

The present research is the attempt to depict Rio de Janeiro City - Brazil – at a specific moment, when one witnessed an extreme climate event. This attempt took place in Twitter’s virtual universe and its aim was to understand the dynamics featuring social participation in processes to produce information about the climate crisis, i.e., identifying information agents and territories. The analyzed data were collected from publications in Twitter related to the heavy rainfall events recorded in April 2019, in Rio de Janeiro City. These data were collected from Twitter API, in R programming environment. We used the thematic analysis methodological approach at two stages to analyze 375 thousand tweets. This data analysis was added with information provided by IBGE and DATA.RIO. Based on the main results, conditioning factors linked to the digital exclusion of populations mostly affected by the climate crisis, mainly schooling and income of populations living in territories mostly affected by the observed climate event, are determining elements. Results have also indicated the relevance of fighting climate denialism, mainly in public spheres, as well as of creating work agendas aimed at strengthening social participation as mechanism to expand climate governance and to reduce environmental injustices.

Author Biographies

Francisca Marli Rodrigues de Andrade, Fluminense Federal University (UFF), Santo Antônio de Pádua, RJ

Professora Adjunta na área de Saúde e Meio Ambiente, vinculada ao curso Interdisciplinar em Educação do Campo. Departamento de Ciências Humanas da Universidade Federal Fluminense (UFF). Docente do Programa de Pós-graduação em Ensino da UFF (PPGen/UFF). Coordenadora do Laboratório de Estudos Decoloniais (LEDec).

Tarssio Brito Barreto, Federal University of Bahia (UFBA), Salvador, BA

Doutorando do Programa de Pós Graduação em Engenharia Industrial da Universidade Federal da Bahia - PEI/UFBA com foco na área de técnicas de agrupamentos voltadas para Machine Learning.

Alen Batista Henriques, Fluminense Federal University (UFF), Santo Antônio de Pádua, RJ

Docente vinculado ao Departamento de Ciências Humanas da Universidade Federal Fluminense.

Published

2023-11-27

How to Cite

Andrade, F. M. R. de, Barreto, T. B., & Henriques, A. B. (2023). Climate Crisis in Rio de Janeiro City: information agents and territories in Twitter. Desenvolvimento E Meio Ambiente, 62. https://doi.org/10.5380/dma.v62i0.86679