Name
Abstract | ||
|---|---|---|
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.
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Year | Venue | Field |
|---|---|---|
2016 | CHI Extended Abstracts | Data science,Information system,Transparency (graphic),Internet privacy,Crowdsourcing,Computer science,Peer production,Human–computer interaction,Citizen science,Crowd dynamics,Payment,Reputation |
DocType | ISBN | Citations |
Conference | 978-1-4503-4082-3 | 0 |
PageRank | References | Authors |
0.34 | 13 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karin Hansson | 1 | 1 | 3.05 |
| Michael J. Muller | 2 | 2310 | 303.58 |
| Tanja Aitamurto | 3 | 20 | 6.60 |
| Lilly Irani | 4 | 888 | 63.91 |
| Athanasios Mazarakis | 5 | 24 | 13.23 |
| Neha Gupta | 6 | 100 | 14.14 |
| Thomas Ludwig | 7 | 72 | 21.48 |