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Considering KNIME Workflows as Shareable Resources: An Example from ‘Trolling the Library’
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
2024 (English)In: Presented at HumInfra Conference (HiC) 2024, Gothenburg, 2024Conference paper, Oral presentation only (Other academic)
Abstract [en]

As the growing influence of the radical right turns cultural institutions into political symbols (Harding, 2021), online forums and social media are key venues for antagonistic outbursts directed at public libraries (Carlsson, Hanell & Hansson 2022). Trolling the Library aims to explore radical right digital attacks against public libraries, and is currently piloting different methods to analyse online comments and news items from the website SamNytt. This contribution outlines one intended deliverable of the project: a shareable workflow for the low-code tool KNIME (KoNstanz Information MinEr).

 

Low-code tools play an important role in making data analysis and visualization accessible to researchers and students with limited experience, or interest, in programming (see De Mauro, Marzoni & Walter, 2021). While low-code tools do introduce closed-box issues, they can still be considered important steppingstones towards computational approaches (Tyrkkö & Ihrmark, submitted). An additional benefit is the shareability of the workflow resulting from designing the method pipeline in tools such as KNIME or Orange. 

 

The specific workflow resulting from Trolling the Library contains sentiment analysis and topic modeling components. While limited in scope, the discussion of the workflow highlights both the benefits and drawbacks of low-code workflows as potential shareable resources for the digital humanities. This contribution focuses on the ease of use, possible obstacles from an unfamiliar user’s perspective, and the availability of appropriate resources for the platform. 

 

 

Works cited:

 

Carlsson, H., Hanell, F., & Hansson, J. (2022). ”Det känns som att jag bara

sitter och väntar på att det ska explodera”: politisk påverkan på de

kommunala folkbibliotekens verksamhet i sex sydsvenska regioner. Nordic

Journal of Library and Information Studies, 3(1), 26-43.

 

De Mauro Andrea, Francesco Marzoni & Andrew J. Walter. 2021. Data Analytics Made Easy: Analyze and present data to make informed decisions without writing any code. Packt Publishing

 

Harding, T. (2021). Culture wars? The (re) politicization of Swedish cultural

policy. Cultural Trends, 1-18.

 

Tyrkkö, J., & Ihrmark, D. Submitted. Low-code data science tools for linguistics: Swiss army knives or pretty black boxes? In Coats S. and V. Laippala (eds.) March of Data (Language, Data Science and Digital Humanities X). London: Bloomsbury Academic.

Place, publisher, year, edition, pages
2024.
Keywords [en]
Trolling the library, low-code tools, sentiment analysis, topic modeling
National Category
General Language Studies and Linguistics Cultural Studies Information Studies
Research subject
Humanities, Linguistics; Humanities, Library and Information Science
Identifiers
URN: urn:nbn:se:lnu:diva-126634OAI: oai:DiVA.org:lnu-126634DiVA, id: diva2:1826845
Conference
HumInfra Conference (HiC) 2024, Gothenburg
Available from: 2024-01-12 Created: 2024-01-12 Last updated: 2024-01-30Bibliographically approved

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Ihrmark, DanielTyrkkö, JukkaCarlsson, HannaHanell, Fredrik

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CiteExportLink to record
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Citation style
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