Determining Political Text Complexity: Conceptualizations, Measurements, and Application

Authors

  • Petro Tolochko University of Vienna, Department of Communication
  • Hajo G Boomgaarden University of Vienna, Department of Communication

Keywords:

linguistic complexity, political communication, automated text analysis

Abstract

Language is of major importance in communicating politics to the people. Political texts, however, vary in their use of language beyond their particular contents. Some texts are structurally and linguistically more complex than others. Text complexity, in turn, has an impact on audiences’ abilities to process and acquire information. Yet, the measures used to operationalize textual complexity are vastly different across studies. This study analyzes whether various complexity metrics measure similar underlying constructs and develops an approach to determine the complexity of texts. The current article provides evidence that text complexity is a multidimensional construct and thus should be studied more carefully. It subsequently validates this approach by applying it to a sample of political newspaper articles. The approach should inform future studies on the structure and effects of linguistic complexity on political communication and beyond. 

Author Biographies

Petro Tolochko, University of Vienna, Department of Communication

Petro Tolochko (MSc, University of Amsterdam) is a Ph.D. candidate in the Department of Communication at University of Vienna. His research interests include statistical modeling, statistical text analysis, linguistic characteristics of political communication.T: T: +43-1-4277-499 03

Hajo G Boomgaarden, University of Vienna, Department of Communication

Hajo G. Boomgaarden (PhD, University of Amsterdam) is Professor for Empirical Social Science Methods with a Focus on Text Analysis at the Department of Communication at University of Vienna. His research interests include the coverage and effects of political information on citizens’ cognitions, attitudes and behaviors in various domains of media and politics, and developments in automated content analysis techniques.T: +43-1-4277-499 05

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Published

2019-04-14

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Section

Articles