Framework and Literature Analysis for Crowdsourcing’s Answer Aggregation
Author:
Affiliation:
1. Department of Information Systems and Business Analytics, Deakin University, Burwood, Australia
2. La Trobe Business School, La Trobe University, Bundoora, Australia
3. School of Business IT and Logistics, RMIT University, Melbourne, Australia
Publisher
Informa UK Limited
Subject
Computer Networks and Communications,Education,Information Systems
Link
https://www.tandfonline.com/doi/pdf/10.1080/08874417.2017.1394171
Reference37 articles.
1. What can crowdsourcing do for decision support?
2. Towards an integrated crowdsourcing definition
3. Machine learning the harness track: Crowdsourcing and varying race history
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