Automated transnational TV content analysis of public service and commercial broadcasting.
Diversity and quality of television programs are continuously discussed in journalism studies and communication sciences. Content analysis, an established method in research on television programs, is usually very time-consuming. Thus, it is common practice to limit the scope of TV program analyses. In most cases, the sample consists of only a few days or weeks of selected programs, but the findings serve as a basis for general conclusions on the diversity and quality of the programs under investigation. Even large-scale, longitudinal program analyses hardly include comparisons of different countries.
This study within the “Public Value goes international” project aims at overcoming the weaknesses of traditional television research and at presenting new ways for comparative TV research. A new method is developed that allows computer-assisted evaluation of data taken from electronic program guides (EPG) and online TV listings. The automation of the procedure could allow for a long-term study of television programs in several countries. In addition, this study points to the limits of the automated procedure.
Presented at DGPuK-Fachgruppentagung “Medienökonomie und Medienstrukturen” in Zurich in October 2015.
Gründl, Johann; Grammel, Markus; Gonser, Nicole & Reiter, Gisela (2016). Automatisierte TV-Programmanalyse mit Daten aus elektronischen Programmführern. In Rimscha, Bjørn von; Studer, Samuel & Puppis Manuel (eds.), Methodische Zugänge zur Erforschung von Medienstrukturen, Medienorganisationen und Medienstrategien (pp. 272-293). Baden-Baden: Nomos.
Gründl, Johann; Grammel, Markus; Gonser, Nicole & Reiter, Gisela (2016). Data Science in der TV-Programmanalyse: Automatisierte Verarbeitung elektronischer Programmzeitschriften. In MedienWirtschaft, 2 (13), pp. 12-22.
The project “Public Value goes international” received funding by Vienna Municipal Department 23 for Economic Affairs, Labour and Statistics (MA23).