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dc.contributor.authorTreen, K
dc.contributor.authorWilliams, H
dc.contributor.authorO’Neill, S
dc.contributor.authorCoan, TG
dc.date.accessioned2022-05-10T13:46:08Z
dc.date.issued2022-04-10
dc.date.updated2022-05-10T11:23:45Z
dc.description.abstractStudies of climate discourse on social media platforms often find evidence of polarization, echo chambers, and misinformation. However, the literature’s overwhelming reliance on Twitter makes it difficult to understand whether these phenomena generalize across other social media platforms. Here we present the first study to examine climate change discourse on Reddit, a popular – yet understudied – locus for climate debate. This contributes to the literature through expansion of the empirical base for the study of online communication about climate change beyond Twitter. Additionally, platform architecture of Reddit differs from many social media platforms in several ways which might impact the quality of the climate debate. We investigate this through topic modeling, community detection, and analysis of sources of information on a large corpus of Reddit data from 2017. Evidence of polarization is found through the topics discussed and sources of information shared. Yet, while some communities are dominated by particular ideological viewpoints, others are more suggestive of deliberative debate. We find little evidence for the presence of polarized echo chambers in the network structure on Reddit. These findings challenge our understanding of social media discourse around climate change and suggest that platform architecture plays a key role in shaping climate debate online.en_GB
dc.description.sponsorshipUniversity of Exeteren_GB
dc.description.sponsorshipLeverhulme Trusten_GB
dc.description.sponsorshipEconomic and Social Research Council (ESRC)en_GB
dc.identifier.citationPublished online 10 April 2022en_GB
dc.identifier.doihttps://doi.org/10.1080/17524032.2022.2050776
dc.identifier.grantnumberRF-2021-599en_GB
dc.identifier.grantnumber2020/SGW/00884431en_GB
dc.identifier.urihttp://hdl.handle.net/10871/129580
dc.identifierORCID: 0000-0003-1321-131X (Treen, Kathie)
dc.identifierORCID: 0000-0002-5927-3367 (Williams, Hywel)
dc.identifierORCID: 0000-0002-4587-3396 (Coan, Travis G)
dc.language.isoenen_GB
dc.publisherRoutledgeen_GB
dc.rights© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_GB
dc.subjectClimate changeen_GB
dc.subjectRedditen_GB
dc.subjectskepticismen_GB
dc.subjectdenialen_GB
dc.subjectpolarizationen_GB
dc.subjectecho chambersen_GB
dc.subjectplatform architectureen_GB
dc.titleDiscussion of Climate Change on Reddit: Polarized Discourse or Deliberative Debate?en_GB
dc.typeArticleen_GB
dc.date.available2022-05-10T13:46:08Z
dc.identifier.issn1752-4032
dc.descriptionThis is the final version. Available on open access from Routledge via the DOI in this recorden_GB
dc.descriptionData availability statement: The data used in this study is from two publicly available datasets on bigquery: the fh-bigquery:reddit_posts project available at bigquery.cloud.google.com/dataset/fh-bigquery:reddit_posts, and the fh-bigquery:reddit_comments project available at: bigquery.cloud.google.com/dataset/fh-bigquery:reddit_comments. The data was accessed on 05/02/2019.en_GB
dc.identifier.eissn1752-4040
dc.identifier.journalEnvironmental Communicationen_GB
dc.relation.ispartofEnvironmental Communication
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2022-03-03
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2022-04-10
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2022-05-10T13:43:59Z
refterms.versionFCDVoR
refterms.dateFOA2022-05-10T13:46:22Z
refterms.panelBen_GB
refterms.dateFirstOnline2022-04-10


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© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Except where otherwise noted, this item's licence is described as © 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.