lnu.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Trolling the Library: the digital threat to the democratic mission of public libraries
Linnaeus University, Faculty of Arts and Humanities, Department of Languages.ORCID iD: 0000-0002-0930-644X
Linnaeus University, Faculty of Arts and Humanities, Department of Languages.ORCID iD: 0000-0001-5251-5338
Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.ORCID iD: 0000-0001-9938-4785
Linnaeus University, Faculty of Arts and Humanities, Department of Cultural Sciences.ORCID iD: 0000-0002-6184-6603
2023 (English)In: Presented at Big Data 2023, November 30th - December 1st, Växjö, 2023Conference paper, Oral presentation with published abstract (Other academic)
Sustainable development
SDG 11: Make cities and human settlements inclusive, safe, resilient, and sustainable
Abstract [en]

In Sweden, the growing influence of the radical right have turned cultural institutions into political symbols in an emerging ‘culture war’ (Harding, 2021). Carlsson, Hanell & Hansson (2022) show how digital forums and social media play a significant part in orchestrating the ideologically laden conflicts and confrontations that public libraries are currently facing. Digitally mediated threats from the radical right may obstruct the statutory mission of the institution to promote democracy, but knowledge about how such threats develop and unfold, as well as the relation between online interactions and offline events (Scrivens, Davies & Frank, 2020), is lacking. This prompts an investigation of the digital environments where supporters of radical right-wing ideas interact, share thoughts, construct collective identities, and coordinate actions towards libraries.

Methodologically, the pilot study explores user comments on online news websites (Landert 2014), applying a data-driven approach informed by sentiment analysis and topic modelling (TM) testing both conventional lexicon-based sentiment scoring and LDA (Latent Dirichlet Allocation) topic modelling, and more recent BERT (Bidirectional Encoder Representations from Transformers) modelling. For purposes of transparency and easy replicability, we carry out the analyses in the open-source environment KNIME (Konstanz Information Miner; see Ihrmark & Tyrkkö 2023).

The dataset of the pilot study contains 561 comments taken from 138 different articles published between 2019 and 2023 on the SamNytt website, the main media outlet for the Swedish radical right. The articles were selected by using the search term “bibliotek” in the site’s search function. The comments were made by 338 different user accounts, with a low number of individual accounts making more than 5 comments. An ongoing analysis suggests that the frequency and temporality of comments and upvotes provide a window into the processes shaping radical right-wing digital attacks that result in tangible consequences for public libraries.

Place, publisher, year, edition, pages
2023.
National Category
General Language Studies and Linguistics Information Studies
Identifiers
URN: urn:nbn:se:lnu:diva-125845OAI: oai:DiVA.org:lnu-125845DiVA, id: diva2:1816122
Conference
Big Data 2023
Available from: 2023-11-30 Created: 2023-11-30 Last updated: 2024-01-16Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Abstract

Authority records

Ihrmark, DanielTyrkkö, JukkaCarlsson, HannaHanell, Fredrik

Search in DiVA

By author/editor
Ihrmark, DanielTyrkkö, JukkaCarlsson, HannaHanell, Fredrik
By organisation
Department of LanguagesDepartment of Cultural Sciences
General Language Studies and LinguisticsInformation Studies

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 51 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf