Creator/Principal investigator(s)
Peter M. Dahlgren
- University of Gothenburg, Department of Journalism, Media and Communication (JMG)
Description
This dataset contains news articles from Swedish news sites during the covid-19 corona pandemic 2020–2021. The purpose was to develop and test new methods for collection and analyses of large news corpora by computational means. In total, there are 677,151 articles collected from 19 news sites during 2020-01-01 to 2021-04-26. The articles were collected by scraping all links on the homepages and main sections of each site every two hours, day and night.
The dataset also includes about 45 million timestamps at which the articles were present on the front pages (homepages and main sections of each news site, such as domestic news, sports, editorials, etc.). This allows for detailed analysis of what articles any reader likely was exposed to when visiting a news site. The time resolution is (as stated previously) two hours, meaning that you can detect changes in which articles were on the front pages every two hours.
The 19 news sites are aftonbladet.se, arbetet.se, da.se, di.se, dn.se, etc.se, expressen.se, feministisktperspektiv.se, friatider.se, gp.se, nyatider.se, nyheteridag.se, samnytt.se
Language
English
Swedish
Research principal
Responsible department/unit
Department of Journalism, Media and Communication (JMG)
Data contains personal data
No
Unit of analysis
Population
News articles
Time Method
Sampling procedure
Time period(s) investigated
2021-01-01 – 2021-04-26
Geographic spread
Geographic location: Sweden
Research area
Media, Language and linguistics, Public health
(CESSDA Topic Classification)
Language Technology (Computational Linguistics), Media Studies
(The Swedish standard of fields of research 2011)
Keywords
Dahlgren, P. M. (2021). Svenskar eller utrikesfödda i medierna? – att identifiera födelseland från
namn. I L. Truedson & J. Lundqvist (Red.), Vitt eller brett? – vilka får ta plats i medier och på
redaktioner. Stockholm: Institutet för mediestudier.
ISBN:
978-91-987098-0-3
Dahlgren, P. M. (2021). Medieinnehåll och mediekonsumtion under coronapandemin: Datoriserade
metoder för insamling och analys av stora mängder text- och mediedata. Göteborg: Institutionen
för journalistik, medier och kommunikation (JMG), Göteborgs universitet.
ISSN:
1101-4679
If you have published anything based on these data, please notify us with a reference to your publication(s). If you are responsible for the catalogue entry, you can update the metadata/data description in DORIS.
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Associated documentation
Description
The dataset consists of the following:
article_metadata.csv (53 MB): The file contains information about each news article, one article per row. In total, there are 677,151 observations and 17 variables.
article_text.csv (236 MB): The file contains the id of each news article and how many times (count) a specific word occurs in the news article. The file contains 80,090,784 observations and 3 variables in long format.
frontpage_timestamps.csv (175 MB): The file contains when each news article
Version 1
https://doi.org/10.5878/d18f-q220
Citation
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Data format / data structure
Text
Creator/Principal investigator(s)
Peter M. Dahlgren
- University of Gothenburg, Department of Journalism, Media and Communication (JMG)
Keywords
Variables
17
Number of individuals/objects
677151
License
