Book chapter 949 views 264 downloads
Crowdsourcing and Scholarly Culture: Understanding Expertise in an Age of Popularism
Macrotask Crowdsourcing, Pages: 189 - 214
Swansea University Author: Alan Dix
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DOI (Published version): 10.1007/978-3-030-12334-5_7
Abstract
The increasing volume of digital material available to the humanities creates clear potential for crowdsourcing. However, tasks in the digital humanities typically do not satisfy the standard requirement for decomposition into microtasks each of which must require little expertise on behalf of the w...
Published in: | Macrotask Crowdsourcing |
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ISBN: | 978-3-030-12333-8 978-3-030-12334-5 |
ISSN: | 1571-5035 2524-4477 |
Published: |
Springer
2019
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Online Access: |
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URI: | https://cronfa.swan.ac.uk/Record/cronfa51937 |
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Abstract: |
The increasing volume of digital material available to the humanities creates clear potential for crowdsourcing. However, tasks in the digital humanities typically do not satisfy the standard requirement for decomposition into microtasks each of which must require little expertise on behalf of the worker and little context of the broader task. Instead, humanities tasks require scholarly knowledge to perform and even where sub-tasks can be extracted, these often involve broader context of the document or corpus from which they are extracted. That is the tasks are macrotasks, resisting simple decomposition. Building on a case study from musicology, the In Concert project, we will explore both the barriers to crowdsourcing in the creation of digital corpora and also examples where elements of automatic processing or less-expert work are possible in a broader matrix that also includes expert microtasks and macrotasks. Crucially we will see that the macrotaskâmicrotask distinction is nuanced: it is often possible to create a partial decomposition into less-expert microtasks with residual expert macrotasks, and crucially do this in ways that preserve scholarly values. |
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Keywords: |
crowdsourcing, human-computer interaction, digital humanities, macro task, musicology, intelligent interfaces |
College: |
Faculty of Science and Engineering |
Start Page: |
189 |
End Page: |
214 |