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Investigating “Algospeak” on social media platforms: a semi-systematic meta-narrative literature review with Orange-based text-mining
University of Borås, Faculty of Librarianship, Information, Education and IT.
2025 (English)Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE creditsStudent thesis
Abstract [en]

In an era where digital communication shapes societal discourse, understanding the nuances of modes of communication on social media platforms is an important aspect of Library and Information Science. This is because vast numbers of people now find their news and information chiefly through social media and because the role of libraries is changing from custodians of knowledge to champions of media and information literacy as part of the neoliberal responsibilisation movement. As the coded languages and means of expression used on various platforms—intended to evade censorship or moderation and collectively referred to as “algospeak”—encroach into the mainstream, this research seeks to establish the current state of academic knowledge in the field. A semi-systematic meta-narrative literature review of several relevant databases forms the basis of the study. This approach was chosen to achieve the most thorough, transparent and replicable sweep of the relevant literature which an initial informal search had revealed to be spread across a variety of disciplines. It also provides the basis for a preliminary study investigating the feasibility of using the open-source text mining software package Orange to identify algospeak “in the wild."

Place, publisher, year, edition, pages
2025.
Keywords [en]
algospeak, Voldemorting, shadowban, self-censorship, social media, semantic analysis, Orange text-mining, responsibilisation
National Category
Information Studies
Identifiers
URN: urn:nbn:se:hb:diva-33537OAI: oai:DiVA.org:hb-33537DiVA, id: diva2:1959435
Available from: 2025-05-22 Created: 2025-05-20 Last updated: 2025-09-24Bibliographically approved

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cda706fa25ec19738548fde9868edd6c39f330a2d947492bdcf9d8eb4a5824c753d3c69da5426491fed8cc2198138e9d4755fb7d328f8fa28ce2ce06d466b7d6
Type fulltextMimetype application/pdf

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Faculty of Librarianship, Information, Education and IT
Information Studies

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CiteExportLink to record
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Citation style
  • harvard-cite-them-right
  • 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
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  • asciidoc
  • rtf