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Assembling Amazon Fires through English Hashtags. Materializing Environmental Activism within Twitter Networks

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This paper is about the networks around the fires in the Brazilian Amazon forest during 2019 in tweets with the English hashtags #PrayForAmazonas, #ActForTheAmazon and #AmazonFire. We have studied 2517 tweets. Both the languages and the content of the tweets were taken into consideration to see who is assembled and what discursive elements are used in the framing. Our results indicate that the fires are framed as a global concern, beyond the Brazilian borders, especially as ‘the lungs of the world’. The framing of responsibility for the fires is focused on president Bolsonaro, who is assembled in many tweets, while animals and indigenous people are framed as victims. We conclude that the tweets in English tend to produce more relationships in terms of likes and retweets, in comparison to tweets in Portuguese and Spanish. In addition, the role of politicians and celebrities seems critical in getting traction around a hashtag and making it trending.

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Skill, Karin; Passero, Sergio; Francisco, Marie (2021): Assembling Amazon Fires through English Hashtags. Materializing Environmental Activism within Twitter Networks. Computer Supported Cooperative Work (CSCW): Vol. 30, No. 0. DOI: 10.1007/s10606-021-09403-6. Springer. PISSN: 1573-7551. pp. 715-732

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Activism, Amazon rainforest, Climate change, Environmentalism, Framing, Latin America, Social media, Twitter

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Number of citations to item: 6

  • Mehdi Ashayeri, Narjes Abbasabadi (2024): Unraveling energy justice in NYC urban buildings through social media sentiment analysis and transformer deep learning, In: Energy and Buildings, doi:10.1016/j.enbuild.2024.113914
  • Mehdi Ashayeri (2024): Decoding Global Indoor Health Perception on Social Media Through<scp>NLP</scp>and Transformer Deep Learning, In: Artificial Intelligence in Performance‐Driven Design, doi:10.1002/9781394172092.ch8
  • Nuria Villagra, Ana Reyes-Menéndez, Jorge Clemente-Mediavilla, Dimitrina J. Semova (2023): Using algorithms to identify social activism and climate skepticism in user-generated content on Twitter, In: El Profesional de la información, doi:10.3145/epi.2023.may.15
  • Hossein Kermani, Niloofar Hooman (2022): Hashtag feminism in a blocked context: The mechanisms of unfolding and disrupting #rape on Persian Twitter, In: New Media &amp; Society 8(26), doi:10.1177/14614448221128827
  • Marie Francisco (2023): Artificial intelligence for environmental security: national, international, human and ecological perspectives, In: Current Opinion in Environmental Sustainability, doi:10.1016/j.cosust.2022.101250
  • Qinyuan Lei, Kit Kuksenok, Ran Tang, Jingyi Guo, Ran Ji, Jiaxun LI (2023): Identity Struggles as Online Activism in China: A Case Study Based on "The Inviting Plan for 985 Fives" Community on Douban, In: Proceedings of the ACM on Human-Computer Interaction CSCW2(7), doi:10.1145/3610070
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