Why we tag: motivations for annotation in mobile and online media
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
Motivations to participate in online communities
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Uses & gratifications of a facebook media sharing group
Proceedings of the 2013 conference on Computer supported cooperative work
Tell me more: an actionable quality model for Wikipedia
Proceedings of the 9th International Symposium on Open Collaboration
How beliefs about the presence of machine translation impact multilingual collaborations
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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Online communities depend on content contributed by their members. However, new communities have not yet achieved critical mass and are vulnerable to inadequate contribution. To encourage contribution, many fledgling communities seed the site with data from 3rd parties. We study the effectiveness of such seeding by looking at how people react to different types of seeded content. We found that people make larger contributions when there is no seeded content. But when there is seeded content, users learn from that content and contribute similar types of content. Therefore, if websites prefer specific types of contributions, seeding that type of contribution can be a valuable way to elicit appropriate contributions.