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      Going cross-lingual: A guide to multilingual text analysis

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          Abstract

          Text-as-data methods have revolutionized the study of political behavior and communication, and the increasing availability of multilingual text collections promises exciting new applications of these methods in compar- ative research. To encourage researchers to seize these opportunities, we provide a guide to multilingual quantitative text analysis. Responding to the unique challenges research faces in multilingual analysis, we provide a systematic overview of multilingual text analysis methods developed for political and communication science research. To structure this overview, we distinguish between separate analysis, input alignment, and anchoring approaches to cross-lingual text analysis. We then compare these approaches’ resource intensiveness and discuss the strategies they offer for approaching measurement equivalence. We argue that to ensure valid measurement across languages and contexts, researchers should reflect on these aspects when choosing between approaches. We conclude with an outlook on future directions for method development and potential fields of applications. Overall, our contribution helps political and communication scientists to navigate the field of multilingual text analysis and gives impulses for their wider adoption and further development.

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          Author and article information

          Contributors
          Journal
          CCR
          Computational Communication Research
          Amsterdam University Press (Amsterdam )
          2665-9085
          2665-9085
          2023
          : 5
          : 2
          : 1
          Affiliations
          Cologne Center for Comparative Politics, University of Cologne
          Computational Communication Science Lab, Department of Communication, University of Vienna
          Article
          10.5117/CCR2023.2.3.LICH
          10.5117/CCR2023.2.3.LICH
          0bf24c00-1183-4ef9-bb67-cb942d7fd01a
          © The author(s)

          This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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          computational text analysis,multilingual text analysis,text-as-data,computational social science,comparative methods

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