Assessing Brazilian protected areas through social media: Insights from 10 years of public interest and engagement.
Autor: | Souza CN; Programa de pós-graduação em Diversidade Biológica e Conservação nos Trópicos, Instituto de Ciências Biológicas e da Saúde, Universidade Federal de Alagoas, Maceió, Alagoas, Brasil., Almeida JAGR; Instituto de Computação, Universidade Federal de Alagoas, Maceió, Alagoas, Brasil., Correia RA; Department of Geosciences and Geography, Helsinki Lab of Interdisciplinary Conservation Science (HELICS), University of Helsinki, Helsinki, Finland.; Helsinki Institute of Sustainability Science (HELSUS), University of Helsinki, Helsinki, Finland.; Biodiversity Unit, University of Turku, Turku, Finland., Ladle RJ; Programa de pós-graduação em Diversidade Biológica e Conservação nos Trópicos, Instituto de Ciências Biológicas e da Saúde, Universidade Federal de Alagoas, Maceió, Alagoas, Brasil.; Centro de Investigação em Biodiversidade e Recursos Genéticos (CIBIO), Universidade do Porto, Vairão, Portugal., Carvalho AR; Departamento de Ecologia, Universidade Federal do Rio Grande do Norte, Natal, Rio Grande do Norte, Brasil., Malhado ACM; Programa de pós-graduação em Diversidade Biológica e Conservação nos Trópicos, Instituto de Ciências Biológicas e da Saúde, Universidade Federal de Alagoas, Maceió, Alagoas, Brasil. |
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Jazyk: | angličtina |
Zdroj: | PloS one [PLoS One] 2023 Oct 30; Vol. 18 (10), pp. e0293581. Date of Electronic Publication: 2023 Oct 30 (Print Publication: 2023). |
DOI: | 10.1371/journal.pone.0293581 |
Abstrakt: | Social media platforms are a valuable source of data for investigating cultural and political trends related to public interest in nature and conservation. Here, we use the micro-blogging social network Twitter to explore trends in public interest in Brazilian protected areas (PAs). We identified ~400,000 Portuguese language tweets pertaining to all categories of Brazilian PAs over a ten-year period (1 January 2011-31 December 2020). We analysed the content of these tweets and calculated metrics of user engagement (likes and retweets) to uncover patterns and drivers of public interest in Brazilian PAs. Our results indicate that users / tweets mentioning PAs remained stable throughout the sample period. However, engagement with tweets grew steeply, particularly from 2018 onward and coinciding with a change in the Brazilian federal government. Furthermore, public interest was not evenly distributed across PAs; while national parks were the subject of the most tweets, mainly related to tourism activities, tweets related to conflicts among park users and managers were more likely to engage Twitter users. Our study highlights that automatic or semi-automatic monitoring of social media content and engagement has great potential as an early warning system to identify emerging conflicts and to generate data and metrics to support PA policy, governance and management. Competing Interests: The authors have declared that no competing interests exist. (Copyright: © 2023 Souza et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.) |
Databáze: | MEDLINE |
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