Human-computer systems are increasingly applied to data reduction problems; citizen science platforms (e.g. the Zooniverse) are one type of such a system. These platforms function as social machines, combining volunteer efforts with automated processes to enable distributed data analysis. The rapid growth of this approach is increasing the need to understand how we can improve volunteer interaction and engagement. Here, we utilize the most comprehensive collection of online citizen science data gathered to date to examine multiple variables across 63 Zooniverse projects. Our analyses reveal how subtle design changes can influence many facets of volunteer interaction, generating insights that have implications for the design and study of citizen science projects, and future research.
|Original language||English (US)|
|Title of host publication||The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018|
|Publisher||Association for Computing Machinery, Inc|
|Number of pages||2|
|State||Published - Apr 23 2018|
|Event||27th International World Wide Web, WWW 2018 - Lyon, France|
Duration: Apr 23 2018 → Apr 27 2018
|Name||The Web Conference 2018 - Companion of the World Wide Web Conference, WWW 2018|
|Conference||27th International World Wide Web, WWW 2018|
|Period||4/23/18 → 4/27/18|
Bibliographical notePublisher Copyright:
© 2018 IW3C2 (International World Wide Web Conference Committee), published under Creative Commons CC BY 4.0 License.
- citizen science
- project design
- volunteer behaviour