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Crowdsourcing for information visualization: promises and pitfalls


Borgo, Rita; Lee, Bongshin; Bach, Benjamin; Fabrikant, Sara I; Jianu, Radu; Kerren, Andreas; Kobourov, Stephen; McGee, Fintan; Micallef, Luana; von Landesberger, Tatiana; Ballweg, Katrin; Diehl, Stephan; Simonetto, Paolo; Zhou, Michelle (2017). Crowdsourcing for information visualization: promises and pitfalls. In: Archambault, Daniel; Purchase, Helen; Hossfeld, Tobias. Evaluation in the crowd. Crowdsourcing and human-centered experiments. Cham: Springer, 96-138.

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Item Type:Book Section, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Geography
Dewey Decimal Classification:910 Geography & travel
Language:English
Date:1 January 2017
Deposited On:31 Jan 2020 14:01
Last Modified:31 Jan 2020 14:01
Publisher:Springer
Series Name:Lecture Notes in Computer Science
ISSN:0302-9743
ISBN:978-3-319-66434-7
OA Status:Closed
Publisher DOI:https://doi.org/10.1007/978-3-319-66435-4_5

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