Distant reading televised public information: The communication of Swedish government agencies, 1978- 2020

Abstract

This study focuses on the Swedish public information programme Anslagstavlan, a unique audiovisual communication tool for Swedish government agencies since 1972 and an important part of Sweden’s audiovisual cultural heritage. Whereas digital research methodologies for data-driven text analysis have been developed and established over the last decades, the use of digital tools in the analysis of audiovisual sources has only recently gained increased attention. In this article, automatic speech recognition algorithms are used to extract the speech from a large sample of spoken messages in Anslagstavlan (1978-2020) which are then explored using digital methods for text analysis. The article argues that automatic speech recognition and corpus analysis should be viewed as a useful tool to gain an overview of a larger corpus of audiovisual media and to notice patterns and trends that would not be visible by close reading alone.

Keywords

• digital humanities
• media history
• automatic speech recognition
• public information
• television history