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Research challenges and training needs in text analysis for political science research

  • Michele Scotto Di Vettimo*
  • , Amanda Haraldsson
  • , Shota Gelovani
  • , Susan Banducci
  • , Karolina Koc-Michalska
  • , Yannis Theocharis
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

An ever-increasing availability of digital texts has opened new research opportunities for political scientists. Yet, researchers who want to utilise these data face several challenges. This paper presents the results of a community-wide survey tapping into various research challenges, training needs, and preferences of scholars using text analysis methodologies. The survey involved respondents from various academic fields and career levels. Our findings indicate that text-as-data methods are gaining momentum in various political science subfields and are used on a wide range of political texts. However, relevant training is not easily accessible to all. Only half of the respondents have ever participated in a training event, though there is a high demand for training opportunities in different formats and at different levels. In ‘Conclusions’, we discuss how the inaccessibility of training risks narrowing the field of researchers.

Original languageEnglish
Pages (from-to)116-128
Number of pages13
JournalEuropean Political Science
Volume25
Issue number1
Early online date19 Jan 2026
DOIs
Publication statusPublished - Mar 2026

Bibliographical note

Publisher Copyright:
© The Author(s), 2026. Published by Cambridge University Press.

Keywords

  • computational social science
  • political texts
  • research challenges
  • text analysis
  • training needs

ASJC Scopus subject areas

  • Political Science and International Relations

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