Attention, sentiments and emotions towards emerging climate technologies on Twitter

19384 6 104436 2 318238 document 104436 1-s2.0-S0959378023001310-main (1).pdf application/pdf 5abc6411c1d0588757244b92c8150360 MD5 1563029 2024-01-08 08:35:41 https://pure.iiasa.ac.at/id/eprint/19384/1/1-s2.0-S0959378023001310-main%20%281%29.pdf 19384 1 1 application/pdf text en public cc_by_4

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published 104447 2 318259 document 104447 lightbox.jpg image/png 0c58ae30bb98c8aa03331daf92f43ca8 MD5 52515 2024-01-08 08:45:47 https://pure.iiasa.ac.at/id/eprint/19384/2/lightbox.jpg 19384 2 2 image/png other Thumbnails conversion from text to thumbnail_lightbox en public

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http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/104436 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/104436 http://eprints.org/relation/isIndexCodesVersionOf https://pure.iiasa.ac.at/id/document/104436 archive 353 disk0/00/01/93/84 2024-01-08 08:38:20 2024-01-08 08:38:20 2024-01-08 08:38:20 article show Müller-Hansen F. Repke T. Baum C.M. Brutschin E. 2250 0000-0001-7040-3057 Callaghan M.W. Debnath R. Lamb W.F. Low S. Lück S. Roberts C. Sovacool B.K. Minx J.C. Attention, sentiments and emotions towards emerging climate technologies on Twitter pub ECE TISS Public perception, Geoengineering, Solar radiation management, Greenhouse gas removal, Social media, Sentiment analysis Public perception of emerging climate technologies, such as greenhouse gas removal (GGR) and solar radiation management (SRM), will strongly influence their future development and deployment. Studying perceptions of these technologies with traditional survey methods is challenging, because they are largely unknown to the public. Social media data provides a complementary line of evidence by allowing for retrospective analysis of how individuals share their unsolicited opinions. Our large-scale, comparative study of 1.5 million tweets covers 16 GGR and SRM technologies and uses state-of-the-art deep learning models to show how attention, and expressions of sentiment and emotion developed between 2006 and 2021. We find that in recent years, attention has shifted from general geoengineering themes to specific GGR methods. On the other hand, there is little attention to specific SRM technologies and they often coincide with conspiracy narratives. Sentiments and emotions in GGR tweets tend to be more positive, particularly for methods perceived to be natural, but are more negative when framed in the geoengineering context. 2023-12 published Elsevier doi:10.1016/j.gloenvcha.2023.102765 3271 public Global Environmental Change 83 e102765 TRUE 1872-9495 GeoEngineering and NegatIve Emissions pathways in Europe (GENIE, H2020 951542) yes info:eu-repo/grantAgreement/EC/H2020/951542/EU//GENIE info:eu-repo/semantics/article info:eu-repo/semantics/openAccess