Article published In: Terminology, Ideology and Discourse
Edited by Katia Peruzzo and Paola Catenaccio
[Terminology 30:1] 2024
► pp. 35–57
Climate knowledge or climate debate?
Using word embeddings and Critical Discourse Analysis to compare expert and media representations of climate knowledge
Published online: 18 July 2024
https://doi.org/10.1075/term.00076.bur
https://doi.org/10.1075/term.00076.bur
Abstract
While media coverage of climate change has been shown to imply selective knowledge transformation (Carvalho, Anabela. 2007. “Ideological Cultures and Media Discourses on Scientific Knowledge: Re-Reading News on Climate Change.” Public Understanding of Science 16 (2): 223–243. ; Brand, Alexander, and Achim Brunnengräber. 2012. “Conflictive Knowledge Constructions on Climate Change through Mainstream and Alternative Media?” Transcience 3 (1): 7–24.;
Kunelius, Risto, and Anna Roosvall. 2021. “Media and the Climate Crisis.” Nordic Journal of Media Studies 3 (1): 1–19. ), studies assessing the potential for climate experts’
terminology to acquire ideological undertones as it enters mediatic discourses are still scarce. Through this article, we aim to
compare the meaning climate experts and the media give to terms pertaining to climate change in English discourses and to
determine whether potential cotextual variation in the discourses produced by these two communities have ideological implications.
To this aim, we use the deep learning algorithm Word2vec (Mikolov, Tomas, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. “Distributed Representations of Words and Phrases and Their Compositionality.” Advances in Neural Information Processing Systems 261. [URL]; González Granado, Nicolas. 2021. « A Glimpse into Terminology Research with R: Two Experiments Exploring Diastratic Variation in a Large Specialized Corpus ». Master thesis in Translation and technology (Terminology). Geneva: University of Geneva. [URL]) to identify terms whose cotext of occurrence is prone to high variability depending on whether it is included
in a newspaper corpus on climate change or one composed of reports from intergovernmental organizations. We then rely on
statistical tools from corpus linguistics to compare the main co-occurrences of two of the terms identified –
adaptation and energy security –, which we combine with Critical Discourse Analysis (Baker, Paul, Costas Gabrielatos, Majid Khosravinik, Michal Krzyzanowski, Tony McEnery, and Ruth Wodak. 2008. “A Useful Methodological Synergy? Combining Critical Discourse Analysis and Corpus Linguistics to Examine Discourses of Refugees and Asylum Seekers in the UK Press.” Discourse and Society 191: 273–306. ) to interpret the variation in terms of meaning and ideological significance. Results suggest that the appropriation
of expert terminology by the media does entail a certain degree of conceptual variation, which notably seems to allow for bringing
issues of social justice, financing and energy transition into focus and assessing expert knowledge along those lines.
Article outline
- 1.Introduction
- 2.The media, experts, and the diffusion of climate knowledge
- 3.Theoretical and methodological framework: Word embeddings, corpus linguistics and Critical Discourse Analysis
- 3.1A “methodological synergy”
- 3.2Word embeddings using Word2vec
- 3.3Critical Discourse Analysis
- 4.Identifying terms that are most likely to see their meaning debated
- 4.1Description of the corpus
- 4.2Building the Word2vec models
- 4.3Measuring cosine similarity
- 4.4Results
- 5.Terminology put to the test of ideology: How are concepts being negotiated as they enter media discourses?
- 5.1Case study 1: Adaptation
- 5.1.1Definition
- 5.1.2Collocational and Critical Discourse Analysis
- Adaptation as an answer to risk
- Adaptation as an opportunity
- Adaptation as a financing issue
- 5.2Case study 2: Energy security
- 5.2.1Definition
- 5.2.2Collocational and Critical Discourse Analysis
- Energy security as an objective
- Climate change mitigation as a threat to energy security (and vice versa)
- Energy security as a co-benefit (of climate mitigation)
- 5.1Case study 1: Adaptation
- 6.Discussion: Co-creating responses to climate change through science and debate
- 7.Concluding remarks
- Acknowledgements
- Notes
References
References (41)
Baker, Paul, Costas Gabrielatos, Majid Khosravinik, Michal Krzyzanowski, Tony McEnery, and Ruth Wodak. 2008. “A Useful Methodological Synergy? Combining Critical Discourse Analysis and Corpus Linguistics to Examine Discourses of Refugees and Asylum Seekers in the UK Press.” Discourse and Society 191: 273–306.
Benjamin, Daniel, Han-Hui Por, and David Budescu. 2016. “Climate Change Versus Global Warming: Who Is Susceptible to the Framing of Climate Change?” Environment and Behavior 49 (7): 745–70.
Bernier-Colborne, Gabriel. 2016. “Aide à l’identification de relations lexicales au moyen de la sémantique distributionnelle et son application à un corpus bilingue du domaine de l’environnement.” Montréal: Université de Montréal. [URL]
Biros, Camille, Caroline Rossi, and Inesa Sahakyan. 2018. “Discourse on Climate and Energy Justice: a Comparative Study of Do It Yourself and Bootstrapped Corpora.” Corpus 181.
Biros, Camille, and Caroline Peynaud. 2019. “Disseminating Climate Change Knowledge. Representation of the International Panel on Climate Change in Three Types of Specialized Discourse.” Lingue e Linguaggi 291: 179–204.
Bondi, Marina, Silvia Cacchiani, and Davide Mazzi (eds). 2015. Discourse in and through the Media: Recontextualizing and Reconceptualizing Expert Discourse. Newcastle upon Tyne: Cambridge Scholars Publishing.
Bourigault, Didier, and Monique Slodzian. 1999. “Pour une terminologie textuelle” Terminologies nouvelles 191: 29–32.
Brand, Alexander, and Achim Brunnengräber. 2012. “Conflictive Knowledge Constructions on Climate Change through Mainstream and Alternative Media?” Transcience 3 (1): 7–24.
Calsamiglia, Helena, and Teun A. Van Dijk. 2004. “Popularization Discourse and Knowledge about the Genome.” Discourse & Society 15 (4): 369–389.
Carvalho, Anabela. 2007. “Ideological Cultures and Media Discourses on Scientific Knowledge: Re-Reading News on Climate Change.” Public Understanding of Science 16 (2): 223–243.
Cheng, Winnie. 2012. “Semantic Prosody.” In The Encyclopedia of Applied Linguistics, ed. by Carol A. Chapelle. Oxford, UK: Blackwell Publishing Ltd.
Condamines, Anne & Aurélie Picton. 2022. « Origins, Principles and New Challenges: Chapter 10. Textual Terminology ». In Faber, Pamela & Marie-Claude L’Homme, Theoretical Perspectives on Terminology: Explaining Terms, Concepts and Specialized Knowledge – Terminology and Lexicography Research and Practice [En ligne] 231. Amsterdam: John Benjamins Publishing Company, 219–36.
Delavigne, Valérie, and François Gaudin. 2022. “Founding Principles of Socioterminology.” In Terminology and Lexicography Research and Practice, ed. by Pamela Faber and Marie-Claude L’Homme, 177–196. Amsterdam: John Benjamins Publishing Company.
Dénigot, Quentin, and Heather Burnett. 2021. “Using Word Embeddings to Uncover Discourses.” In Proceedings of the Society for Computation in Linguistics, 298–312. Association for Computational Linguistics.
Drouin, Patrick. 2003. “Term Extraction Using Non-Technical Corpora as a Point of Leverage.” Terminology 9 (1): 99–117.
Drouin, Patrick, Marie-Claude L’Homme, and Benoît Robichaud. 2018. “Lexical Profiling of Environmental Corpora.” In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), 3419–3425. Miyazaki, Japan: European Language Resources Association (ELRA), 2018. [URL]
Fairclough, Norman, and Ruth Wodak. 1997. “Critical Discourse Analysis.” In Discourse as Social Interaction, ed. by Teun Van Dijk, 258–284. London: SAGE.
Fairclough, Norman. 2003. Analysing Discourse: Textual Analysis for Social Research. London; New York: Routledge.
Giuffredi, Rita, Laura Criscuolo, Amelia De Lazzari, et al. 2021. “Knowledge Co-Construction by Citizens and Researchers to Create a SNAPSHOT of the Marine Environment During and After the Covid-19 Lockdown.” Frontiers in Marine Science 8 (718214).
González Granado, Nicolas. 2021. « A Glimpse into Terminology Research with R: Two Experiments Exploring Diastratic Variation in a Large Specialized Corpus ». Master thesis in Translation and technology (Terminology). Geneva: University of Geneva. [URL]
Gotti, Maurizio. 2014. “Reformulation and Recontextualization in Popularization Discourse.” Ibérica. 271: 15–34. [URL]
Hulme, Mike. 2009. Why We Disagree about Climate Change: Understanding Controversy, Inaction and Opportunity. Cambridge, UK; New York: Cambridge University Press.
IPCC. 2022. “Annex II: Glossary.” Ed. by Vincent Möller, Renée van Diemen, J. B. Robin Matthews, Carlos Méndez, S. Semenov, Jan S. Fuglestvedt, Andy Reisinger, and Sergey Semenov. In Climate Change 2022: Impacts, Adaptation and Vulnerability. Contribution of Working Group II to the Sixth Assessment Report of the Intergovernmental Panel on Climate Change, ed. by Hans-Otto Pörtner, Debra C. Roberts, Melinda M. B. Tignor, Elvira Poloczanska, Katja Mintenbeck, Andrés Alegría, Marlies Craig, Stefanie Langsdorf, Sina Löschke, Vincent Möller, Andrew Okem, and Bardhyl Rama, 2897–2930. Cambridge, UK; New York: Cambridge University Press.
Kunelius, Risto, and Anna Roosvall. 2021. “Media and the Climate Crisis.” Nordic Journal of Media Studies 3 (1): 1–19.
Mauger-Parat, Marion, and Ana Carolina Peliz. 2013. “Controverse, polémique, expertise : trois notions pour aborder le débat sur le changement climatique en France.” [VertigO] La revue électronique en sciences de l’environnement 13 (2). [URL].
Mikolov, Tomas, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. “Distributed Representations of Words and Phrases and Their Compositionality.” Advances in Neural Information Processing Systems 261. [URL]
Mishra, Siba, and Arpit Sharma. 2019. “On the Use of Word Embeddings for Identifying Domain Specific Ambiguities in Requirements.” In 2019 IEEE 27th International Requirements Engineering Conference Workshops (REW), 234–240.
Moirand, Sophie. 2004. “De la médiation à la médiatisation des faits scientifiques et techniques : où en est l’analyse du discours ?” Colloque Sciences, Médias et Société, ed. by Joëlle Le Marec and Igor Babou, 71–99.
Nikitina, Jekaterina. 2020. “Representation of Gene-Editing in British and Italian Newspapers: A Cross-Linguistic Corpus-Assisted Discourse Study.” Lingue e Linguaggi 341: 51–75.
Pedersen, Ted, Serguei V. S. Pakhomov, Siddharth Patwardhan, and Christopher G. Chute. 2007. “Measures of Semantic Similarity and Relatedness in the Biomedical Domain.” Journal of Biomedical Informatics 40 (3): 2882–2899.
Peynaud, Caroline. 2018. “La notion de climat dans le discours de la presse anglophone : le traitement de la question climatique de 2010 à 2017.” ASp 741: 77–93.
Picton, Aurélie. 2009. « Diachronie en langue de spécialité. Définition d’une méthode linguistique outillée pour repérer l’évolution des connaissances en corpus. Un exemple appliqué au domaine spatial. ». PhD thesis in linguistics. Toulouse: University of Toulouse le Mirail – Toulouse II.
Price, Hazel. 2022. The Language of Mental Illness: Corpus Linguistics and the Construction of Mental Illness in the Press. Cambridge: Cambridge University Press.
Rodman, Emma. 2020. “A Timely Intervention: Tracking the Changing Meanings of Political Concepts with Word Vectors.” Political Analysis 28 (1): 87–111.
Salama, Amir H. Y. 2011. “Ideological Collocation and the Recontexualization of Wahhabi-Saudi Islam Post-9/11: A Synergy of Corpus Linguistics and Critical Discourse Analysis.” Discourse & Society 22 (3): 315–342.
Song, Yunya, Zeping Huang, Jonathon P. Schuldt, and Y Connie Yuan. 2022. “National Prisms of a Global Phenomenon: A Comparative Study of Press Coverage of Climate Change in the US, UK and China.” Journalism 23 (10): 2208–2229.
Stubbs, Michael. 1994. “Grammar, Text, and Ideology: Computer-Assisted Methods in the Linguistics of Representation.” Applied Linguistics 15 (2): 201–223.
Sugathadasa, Keet, Buddhi Ayesha, Nisansa de Silva, Amal Shehan Perera, Vindula Jayawardana, Dimuthu Lakmal, and Madhavi Perera. 2017. “Synergistic Union of Word2Vec and Lexicon for Domain Specific Semantic Similarity.” In 2017 IEEE International Conference on Industrial and Information Systems (ICIIS), 1–6.
UNEP. 2016. “The Adaptation Finance Gap Report”. UNEP-CCC. Accessed 7 April 2023. [URL]
