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A Sustainable West? Analyzing Clusters of Public Opinion in Sustainability Western Discourses in a Collection of Multilingual Newspapers (1999-2018)


Fernández Fernández, Elena; Savcisens, Germans (2023). A Sustainable West? Analyzing Clusters of Public Opinion in Sustainability Western Discourses in a Collection of Multilingual Newspapers (1999-2018). In: Sustainability: Environment - Community - Data : 7th Digital Humanities in the Nordic and Baltic Countries Conference, Oslo, Norway, 8 March 2023 - 10 March 2023, University of Oslo Library.

Abstract

In this article, we analyze the temporal and geographic evolution of sustainability-related discourses over a time frame of twenty years (1999-2018). We use a collection of multilingual newspapers in English, French, German, Spanish, and Italian, as a proxy. We filter documents using four key terms: sustainable development, climate change, environment, and pollution, seeking to explore how different newspapers encode the same message, aiming to detect points of contact (agreement) and rupture (polarity). Our methodology includes Topic Modelling (Pachinko Allocation [1]), word embeddings [2], Ward’s hierarchical cluster analysis [3], and network analysis [4]. Our results show a progressive simplification of semantic fields over time, reflecting less polarizing views across countries and, therefore, showing an increasing agreement on sustainability-related discourses in our contemporary societies. Moreover, we also notice little variation of newspapers rhetorics over time. Therefore, this article also contributes with a meta-reflection about newspapers behaviour as information containers.

Abstract

In this article, we analyze the temporal and geographic evolution of sustainability-related discourses over a time frame of twenty years (1999-2018). We use a collection of multilingual newspapers in English, French, German, Spanish, and Italian, as a proxy. We filter documents using four key terms: sustainable development, climate change, environment, and pollution, seeking to explore how different newspapers encode the same message, aiming to detect points of contact (agreement) and rupture (polarity). Our methodology includes Topic Modelling (Pachinko Allocation [1]), word embeddings [2], Ward’s hierarchical cluster analysis [3], and network analysis [4]. Our results show a progressive simplification of semantic fields over time, reflecting less polarizing views across countries and, therefore, showing an increasing agreement on sustainability-related discourses in our contemporary societies. Moreover, we also notice little variation of newspapers rhetorics over time. Therefore, this article also contributes with a meta-reflection about newspapers behaviour as information containers.

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Additional indexing

Item Type:Conference or Workshop Item (Paper), refereed, original work
Communities & Collections:06 Faculty of Arts > Institute of Computational Linguistics
Dewey Decimal Classification:000 Computer science, knowledge & systems
410 Linguistics
Language:English
Event End Date:10 March 2023
Deposited On:22 Nov 2023 14:15
Last Modified:22 Nov 2023 14:25
Publisher:University of Oslo Library
OA Status:Hybrid
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.5617/dhnbpub.10660
Project Information:
  • : FunderH2020
  • : Grant ID101024996
  • : Project TitleTime, Technology, and Globalization. A study of the role of technology in processes of modernization and globalization using the Press, Big Data, and Computational Research Methodologies (GLOTECH)
  • Content: Published Version
  • Language: English
  • Licence: Creative Commons: Attribution 4.0 International (CC BY 4.0)