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      Scientific networks on Twitter: Analyzing scientists’ interactions in the climate change debate

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          Abstract

          Scientific issues requiring urgent societal actions—such as climate change—have increased the need for communication and interaction between scientists and other societal actors. Social media platforms facilitate such exchanges. This study investigates who scientists interact with on Twitter, and whether their communication differs when engaging with actors beyond the scientific community. We focus on the climate change debate on Twitter and combine network analysis with automated content analysis. The results show that scientists interact most intensively with their peers, but also communication beyond the scientific community is important. The findings suggest that scientists adjust their communication style to their audience: They use more neutral language when communicating with other scientists, and more words expressing negative emotions when communicating with journalists, civil society, and politicians. Likewise, they stress certainty more when communicating with politicians, indicating that scientists use language strategically when communicating beyond the scientific community.

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          Most cited references55

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          Scepticism and uncertainty about climate change: Dimensions, determinants and change over time

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            Online collaboration: Scientists and the social network.

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              Affective News: The Automated Coding of Sentiment in Political Texts

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                Author and article information

                Contributors
                Journal
                Public Underst Sci
                Public Underst Sci
                PUS
                sppus
                Public Understanding of Science (Bristol, England)
                SAGE Publications (Sage UK: London, England )
                0963-6625
                1361-6609
                26 April 2019
                August 2019
                : 28
                : 6
                : 696-712
                Affiliations
                [1-0963662519844131]University of Bremen, Germany
                [2-0963662519844131]University of Hamburg, Germany
                Author notes
                [*]Stefanie Walter, University of Bremen, 28359 Bremen, Germany. Email: Stefanie.Walter@ 123456uni-bremen.de
                Author information
                https://orcid.org/0000-0002-9304-3469
                Article
                10.1177_0963662519844131
                10.1177/0963662519844131
                7323776
                31027461
                3e8e8552-c09d-40f9-bd43-e81227fadb4e
                © The Author(s) 2019

                This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License ( http://www.creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages ( https://us.sagepub.com/en-us/nam/open-access-at-sage).

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                Categories
                Articles

                Sociology
                automated content analysis,climate change,network analysis,science communication,social media,twitter

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