Location
Hilton Waikoloa Village, Hawaii
Event Website
https://hicss.hawaii.edu/
Start Date
7-1-2025 12:00 AM
End Date
10-1-2025 12:00 AM
Description
This study examines how participants of crowdsourcing challenges (ideators) provide comments to one another under the dual community forces of collaboration and competition. Content analysis reveals comment types with various degrees of cooperativeness and self-interestedness. Based on comment-sending patterns, clustering analysis unveils ideators’ different roles in the communities: endorsers, self-promoters, and contributors. Results of longitudinal network analysis on four layers of comment networks present nuanced interaction patterns such as reciprocity, inertia, and homophily. Results suggest that active contribution tends to receive fair returns from the community. Pairs of ideators tend to share reciprocated comments, regardless of the comment types. Therefore, to gain substantial information, ideators should take the initiative and contribute substantially to peer competitors. Moreover, ideators tend to maintain existing habits of comment-giving. Ideators with similar ideas share coopetitive relationships through both cooperative and self-interested comments.
Recommended Citation
Li, Yiqi; Mao, Shufan; and Lu, Selina, "A Dynamic and Multilayered Examination of Comment Networks in a Crowdsourcing Challenge Community" (2025). Hawaii International Conference on System Sciences 2025 (HICSS-58). 4.
https://aisel.aisnet.org/hicss-58/in/crowd-based_platforms/4
A Dynamic and Multilayered Examination of Comment Networks in a Crowdsourcing Challenge Community
Hilton Waikoloa Village, Hawaii
This study examines how participants of crowdsourcing challenges (ideators) provide comments to one another under the dual community forces of collaboration and competition. Content analysis reveals comment types with various degrees of cooperativeness and self-interestedness. Based on comment-sending patterns, clustering analysis unveils ideators’ different roles in the communities: endorsers, self-promoters, and contributors. Results of longitudinal network analysis on four layers of comment networks present nuanced interaction patterns such as reciprocity, inertia, and homophily. Results suggest that active contribution tends to receive fair returns from the community. Pairs of ideators tend to share reciprocated comments, regardless of the comment types. Therefore, to gain substantial information, ideators should take the initiative and contribute substantially to peer competitors. Moreover, ideators tend to maintain existing habits of comment-giving. Ideators with similar ideas share coopetitive relationships through both cooperative and self-interested comments.
https://aisel.aisnet.org/hicss-58/in/crowd-based_platforms/4