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 macrotask–microtask 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.
Keywords: crowdsourcing, human-computer interaction, digital humanities, macro task, musicology, intelligent interfaces, HCI.
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Figure 1. The digital archive process (from [DC14]).
Figure 2. Expertise and task decomposition.
Figure 3. Residual expert macrotasks.
Figure 4. Decomposing microtasks.
Figure 5. Microtasks lead to understanding.
Figure 6. Portion of Brown and Stratton's British Musical Biography [BS97].
Figure 7. Prototype web interface for link checking.
Figure 8. Links displayed with provenance.
Figure 9. Printed spreadsheet for grouping by hand.