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Modeling Media History : On topic models of Swedish media politics 1945–1989

Snickars, Pelle LU (2022) In Media History 28(3). p.403-424
Abstract
In an explorative manner, this article uses a data-driven digital history set-up to focus on media political issues in Sweden during the second half of the twentieth century. By distant reading and topic modeling a dataset of 3100 Swedish Government Official Reports between 1945 and 1989—a corpus of some 87 million tokens—the article gives a new perspective of how the Swedish state examined and discussed media in general and media politics in particular. Topic modeling is a computational method to study latent themes or discourses in a dataset by accentuating words that tend to co-occur and together create different topics. Via a computational interrogation of the dataset in a Jupyter Lab environment a number of media topics can be... (More)
In an explorative manner, this article uses a data-driven digital history set-up to focus on media political issues in Sweden during the second half of the twentieth century. By distant reading and topic modeling a dataset of 3100 Swedish Government Official Reports between 1945 and 1989—a corpus of some 87 million tokens—the article gives a new perspective of how the Swedish state examined and discussed media in general and media politics in particular. Topic modeling is a computational method to study latent themes or discourses in a dataset by accentuating words that tend to co-occur and together create different topics. Via a computational interrogation of the dataset in a Jupyter Lab environment a number of media topics can be detected. They include the most common words for each media topic, but also reveal temporal periodizations when media political issues were foremost discussed as well as other societal topics that media was related to. (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 media history, media politics, Swedish Government Official Reports, topic modeling, digital humanities
in
Media History
volume
28
issue
3
pages
22 pages
publisher
Routledge
external identifiers
  • scopus:85131059258
ISSN
1469-9729
DOI
10.1080/13688804.2022.2079484
project
Welfare State Analytics. Text Mining and Modeling Swedish Politics, Media & Culture, 1945-1989
language
English
LU publication?
yes
id
5da398d9-401d-4a2d-83c8-bce53d79e6c9
date added to LUP
2022-05-25 14:02:47
date last changed
2024-02-02 02:33:24
@article{5da398d9-401d-4a2d-83c8-bce53d79e6c9,
  abstract     = {{In an explorative manner, this article uses a data-driven digital history set-up to focus on media political issues in Sweden during the second half of the twentieth century. By distant reading and topic modeling a dataset of 3100 Swedish Government Official Reports between 1945 and 1989—a corpus of some 87 million tokens—the article gives a new perspective of how the Swedish state examined and discussed media in general and media politics in particular. Topic modeling is a computational method to study latent themes or discourses in a dataset by accentuating words that tend to co-occur and together create different topics. Via a computational interrogation of the dataset in a Jupyter Lab environment a number of media topics can be detected. They include the most common words for each media topic, but also reveal temporal periodizations when media political issues were foremost discussed as well as other societal topics that media was related to.}},
  author       = {{Snickars, Pelle}},
  issn         = {{1469-9729}},
  keywords     = {{digital media history; media politics; Swedish Government Official Reports; topic modeling; digital humanities}},
  language     = {{eng}},
  month        = {{05}},
  number       = {{3}},
  pages        = {{403--424}},
  publisher    = {{Routledge}},
  series       = {{Media History}},
  title        = {{Modeling Media History : On topic models of Swedish media politics 1945–1989}},
  url          = {{http://dx.doi.org/10.1080/13688804.2022.2079484}},
  doi          = {{10.1080/13688804.2022.2079484}},
  volume       = {{28}},
  year         = {{2022}},
}