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Beyond Micro-Tasks: Research Opportunities in Observational Crowdsourcing

Beyond Micro-Tasks: Research Opportunities in Observational Crowdsourcing

Roman Lukyanenko, Jeffrey Parsons
Copyright: © 2018 |Volume: 29 |Issue: 1 |Pages: 22
ISSN: 1063-8016|EISSN: 1533-8010|EISBN13: 9781522542247|DOI: 10.4018/JDM.2018010101
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MLA

Lukyanenko, Roman, and Jeffrey Parsons. "Beyond Micro-Tasks: Research Opportunities in Observational Crowdsourcing." JDM vol.29, no.1 2018: pp.1-22. http://doi.org/10.4018/JDM.2018010101

APA

Lukyanenko, R. & Parsons, J. (2018). Beyond Micro-Tasks: Research Opportunities in Observational Crowdsourcing. Journal of Database Management (JDM), 29(1), 1-22. http://doi.org/10.4018/JDM.2018010101

Chicago

Lukyanenko, Roman, and Jeffrey Parsons. "Beyond Micro-Tasks: Research Opportunities in Observational Crowdsourcing," Journal of Database Management (JDM) 29, no.1: 1-22. http://doi.org/10.4018/JDM.2018010101

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Abstract

The emergence of crowdsourcing as an important mode of information production has attracted increasing research attention. In this article, the authors review crowdsourcing research in the data management field. Most research in this domain can be termed tasked-based, focusing on micro-tasks that exploit scale and redundancy in crowds. The authors' review points to another important type of crowdsourcing – which they term observational – that can expand the scope of extant crowdsourcing data management research. Observational crowdsourcing consists of projects that harness human sensory ability to support long-term data acquisition. The authors consider the challenges in this domain, review approaches to data management for crowdsourcing, and suggest directions for future research that bridges the gaps between the two research streams.

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