Crowd Dynamics: Exploring Conflicts and Contradictions in Crowdsourcing
2016 (English)In: Proceedings of the 2016 CHI Conference Extended Abstracts on Human Factors in Computing Systems, Association for Computing Machinery (ACM), 2016, 3604-3611 p.Conference paper (Refereed)
Unfair reputation systems, slow payments, lack of transparency, and socio-spatial inequalities are only some of the many reasons for conflicts in crowdsourcing. The divisive logic of the system and the sharing processes in the peer-community create interesting dynamics and new foci on old conflicts. In this workshop we explore the reasons, processes, power relations, and dynamics of conflicts within crowdsourcing. We invite participants from a diversity of disciplines and perspectives to contribute with insights from different types of crowdsourcing, and thereby deepen our understanding of the relations in contexts such as crowd-work, crowdfunding, peer-production and citizen science. Furthermore, we examine strategies for accommodating differences in crowdsourcing environments.
Place, publisher, year, edition, pages
Association for Computing Machinery (ACM), 2016. 3604-3611 p.
Crowdsourcing, crowdfunding, peer-production, citizen science, crowd-work, crowd dynamics
Research subject Computer and Systems Sciences
IdentifiersURN: urn:nbn:se:su:diva-137474DOI: 10.1145/2851581.2856505ISBN: 978-1-4503-4082-3OAI: oai:DiVA.org:su-137474DiVA: diva2:1062749
CHI'16 Conference on Human Factors in Computing Systems, San Jose, CA, USA, May 07-12, 2016