Finding and Interpreting Arguments: An Important Challenge for Humanities Computing and Scholarly Practice. Article Swipe
Skillful identification and interpretation of arguments is a cornerstone of learning, scholarly activity and thoughtful civic engagement. These are difficult skills for people to learn, and they are beyond the reach of current computational methods from artificial intelligence and machine learning, despite hype suggesting the contrary. In previous work, we have attempted to build systems that scaffold these skills in people. In this paper we reflect on the difficulties posed by this work, and we argue that it is a serious challenge which ought to be taken up within the digital humanities and related efforts to computationally support scholarly practice. Network analysis, bibliometrics, and stylometrics, essentially leave out the fundamental humanistic skill of charitable argument interpretation because they touch very little on the meanings embedded in texts. We present a problematisation of the design space for potential tool development, as a result of insights about the nature and form of arguments in historical texts gained from our attempt to locate and map the arguments in one corner of the Hathi Trust digital library.
Related Topics
Concepts
Argument (complex analysis)
Interpretation (philosophy)
Epistemology
Cornerstone
Humanism
Digital humanities
Sociology
Identification (biology)
Data science
Artificial intelligence
Computer science
Engineering ethics
Cognitive science
Psychology
World Wide Web
Political science
Engineering
Philosophy
History
Programming language
Chemistry
Archaeology
Biochemistry
Law
Biology
Botany
Metadata
- Type
- article
- Language
- en
- https://repository.uel.ac.uk/download/b660f3b9d723c4b8a8ff22f9760f8a8838f6a3156d6f5c50581bd325a076aa13/421905/DHQ_%20Digital%20Humanities%20Quarterly_%20Finding%20and%20Interpreting%20Arguments_%20An%20Important%20Challenge%20for%20Humanities%20Computing%20and%20Scholarly%20Practice.pdf
- OA Status
- green
- Cited By
- 2
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W3010181945
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3010181945Canonical identifier for this work in OpenAlex
- Title
-
Finding and Interpreting Arguments: An Important Challenge for Humanities Computing and Scholarly Practice.Work title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-01-01Full publication date if available
- Authors
-
Andrew Ravenscroft, Colin AllenList of authors in order
- PDF URL
-
https://repository.uel.ac.uk/download/b660f3b9d723c4b8a8ff22f9760f8a8838f6a3156d6f5c50581bd325a076aa13/421905/DHQ_%20Digital%20Humanities%20Quarterly_%20Finding%20and%20Interpreting%20Arguments_%20An%20Important%20Challenge%20for%20Humanities%20Computing%20and%20Scholarly%20Practice.pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://repository.uel.ac.uk/download/b660f3b9d723c4b8a8ff22f9760f8a8838f6a3156d6f5c50581bd325a076aa13/421905/DHQ_%20Digital%20Humanities%20Quarterly_%20Finding%20and%20Interpreting%20Arguments_%20An%20Important%20Challenge%20for%20Humanities%20Computing%20and%20Scholarly%20Practice.pdfDirect OA link when available
- Concepts
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Argument (complex analysis), Interpretation (philosophy), Epistemology, Cornerstone, Humanism, Digital humanities, Sociology, Identification (biology), Data science, Artificial intelligence, Computer science, Engineering ethics, Cognitive science, Psychology, World Wide Web, Political science, Engineering, Philosophy, History, Programming language, Chemistry, Archaeology, Biochemistry, Law, Biology, BotanyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
- Citations by year (recent)
-
2022: 1, 2020: 1Per-year citation counts (last 5 years)
- Related works (count)
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20Other works algorithmically related by OpenAlex
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