PITFALLS AND POTENTIALS OF CROWD SCIENCE: A META-ANALYSIS OF CONTEXTUAL INFLUENCES

Author:

Klippel A.,Sparks K.,Wallgrün J. O.

Abstract

Abstract. Crowd science is becoming an integral part of research in many disciplines. The research discussed in this paper lies at the intersection of spatial and behavioral sciences, two of the greatest beneficiaries of crowd science. As a young methodological development, crowd science needs attention from the perspective of a rigorous evaluation of the data collected to explore potentials as well as limitations (pitfalls). Our research has addressed a variety of contextual effects on the validity of crowdsourced data such as cultural, linguistic, regional, as well as methodological differences that we will discuss here in light of semantics.

Publisher

Copernicus GmbH

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Assessing 2D visual encoding of 3D spatial connectivity;Frontiers in Bioinformatics;2024-01-22

2. Information Visualization Evaluation Using Crowdsourcing;Computer Graphics Forum;2018-06

3. Crowdsourcing and Massively Collaborative Science: A Systematic Literature Review and Mapping Study;Lecture Notes in Computer Science;2018

4. Rule-guided human classification of Volunteered Geographic Information;ISPRS Journal of Photogrammetry and Remote Sensing;2017-05

5. Guided Classification System for Conceptual Overlapping Classes in OpenStreetMap;ISPRS International Journal of Geo-Information;2016-06-07

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