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Exploring expert opinion on climate policy using Twitter

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Exploring expert opinion on climate policy using Twitter

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dc.contributor.author Bergamini, Enrico es_ES
dc.contributor.author Savin, Ivan es_ES
dc.contributor.author van den Bergh, Jeroen es_ES
dc.date.accessioned 2024-01-10T12:21:52Z
dc.date.available 2024-01-10T12:21:52Z
dc.date.issued 2023-09-22
dc.identifier.isbn 9788413960869
dc.identifier.uri http://hdl.handle.net/10251/201705
dc.description.abstract [EN] We study online conversations about climate policy by building a novel dataset of around 100,000 tweets and tweet threads by climate policy scientists. This data is complemented with information about the scientific affiliation and production of scientists. We undertake an exploratory analysis of the content of tweets by means of Natural Language Processing. In addition, we study the relationship between tweet content and academic background. This indicates that economists and political scientists are the most active in discussing climate policy on Twitter. We further find that the policy instruments receiving most attention are cap-and-trade and carbon taxation. es_ES
dc.format.extent 8 es_ES
dc.language Inglés es_ES
dc.publisher Editorial Universitat Politècnica de València es_ES
dc.relation.ispartof 5th International Conference on Advanced Research Methods and Analytics (CARMA 2023)
dc.rights Reconocimiento - No comercial - Compartir igual (by-nc-sa) es_ES
dc.subject Climate policy es_ES
dc.subject Twitter es_ES
dc.subject Scientometrics es_ES
dc.subject Social networks es_ES
dc.subject Topic modelling es_ES
dc.subject Carbon price es_ES
dc.title Exploring expert opinion on climate policy using Twitter es_ES
dc.type Capítulo de libro es_ES
dc.type Comunicación en congreso es_ES
dc.identifier.doi 10.4995/CARMA2023.2023.16470
dc.rights.accessRights Abierto es_ES
dc.description.bibliographicCitation Bergamini, E.; Savin, I.; Van Den Bergh, J. (2023). Exploring expert opinion on climate policy using Twitter. Editorial Universitat Politècnica de València. 195-202. https://doi.org/10.4995/CARMA2023.2023.16470 es_ES
dc.description.accrualMethod OCS es_ES
dc.relation.conferencename CARMA 2023 - 5th International Conference on Advanced Research Methods and Analytics es_ES
dc.relation.conferencedate Junio 28-30, 2023 es_ES
dc.relation.conferenceplace Sevilla, España es_ES
dc.relation.publisherversion http://ocs.editorial.upv.es/index.php/CARMA/CARMA2023/paper/view/16470 es_ES
dc.description.upvformatpinicio 195 es_ES
dc.description.upvformatpfin 202 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.relation.pasarela OCS\16470 es_ES


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