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

Stjernholm, Emil LU (2022) In NECSUS 11(2).
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... (More)
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. (Less)
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Contribution to journal
publication status
published
subject
keywords
digital humanities, media history, automatic speech recognition, speech-to-text, digital history, public information, public service broadcasting, television history, government public relations
in
NECSUS
volume
11
issue
2
publisher
Amsterdam University Press
ISSN
2213-0217
project
Televising Information: Audiovisual Communication of Swedish Government Agencies
language
English
LU publication?
yes
id
c34ccef6-af5a-42f0-9d1d-0ee36c69248d
alternative location
https://necsus-ejms.org/distant-reading-televised-public-information-the-communication-of-swedish-government-agencies-1978-2020/
date added to LUP
2022-12-15 10:10:58
date last changed
2025-04-04 15:31:02
@article{c34ccef6-af5a-42f0-9d1d-0ee36c69248d,
  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.}},
  author       = {{Stjernholm, Emil}},
  issn         = {{2213-0217}},
  keywords     = {{digital humanities; media history; automatic speech recognition; speech-to-text; digital history; public information; public service broadcasting; television history; government public relations}},
  language     = {{eng}},
  number       = {{2}},
  publisher    = {{Amsterdam University Press}},
  series       = {{NECSUS}},
  title        = {{Distant reading televised public information : The communication of Swedish government agencies, 1978-2020}},
  url          = {{https://necsus-ejms.org/distant-reading-televised-public-information-the-communication-of-swedish-government-agencies-1978-2020/}},
  volume       = {{11}},
  year         = {{2022}},
}