Examining outlooks on sustainability transitions through computational language analysis

Research output: Contribution to journalArticleScientificpeer-review

Abstract

This viewpoint exemplifies how advances in computational text analysis allow for analysing novel data for transitions studies. Applying the specific technique of topic modelling to plenary talks related to energy in the Finnish parliament during 2008–2020 illustrates how the approach can be of use to transitions studies. In particular, it aids in exploring the dynamics of diverging perspectives, such as by right-wing populists and the greens, on outlooks for energy transitions. We sketch how computational text analysis can further contribute to transitions studies.
Original languageEnglish
JournalEnvironmental Innovation and Societal Transitions
Volume41
Pages (from-to)74-76
Number of pages3
ISSN2210-4224
DOIs
Publication statusPublished - 15 Dec 2021
MoE publication typeA1 Journal article-refereed

Fields of Science

  • 512 Business and Management

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