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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.
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