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Generative AI has begun to alter how we work, learn, communicate, and participate in online communities. How might our online communities be changed by generative AI? To start addressing this question, we focused on online community moderators' experiences with AI-generated content (AIGC). We performed fifteen in-depth, semi-structured interviews with moderators of Reddit communities that restrict the use of AIGC. Our study finds that rules about AIGC are motivated by concerns about content quality, social dynamics, and governance challenges. Moderators fear that, without such rules, AIGC threatens to reduce their communities' utility and social value. We find that, despite the absence of foolproof tools for detecting AIGC, moderators were able to somewhat limit the disruption caused by this new phenomenon by working with their communities to clarify norms. However, moderators found enforcing AIGC restrictions challenging, and had to rely on time-intensive and inaccurate detection heuristics in their efforts. Our results highlight the importance of supporting community autonomy and self-determination in the face of this sudden technological change, and suggest potential design solutions that may help.
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The Generativity of Remixing: Understanding Knowledge Reuse Process for Innovation in Online Communities
Remixing, a method to harness collective intelligence, is used in many online innovation communities. It is also an important form of online engagement. What actions lead to a remix that is generative? This paper addresses this question by using a knowledge reuse process model previously applied in offline settings as the basis for a series of hypotheses about online communities. An empirical study is performed to examine the relationship between three major actions in the knowledge reuse process model and the generativity of the remix created. An analysis of the reuse of proposals in an online innovation community, Climate CoLab, shows that those including prevalent topics and metaknowledge about integration are more generative. These findings provide insights to strategies and tools that can support knowledge reuse for innovation in online communities.
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- PAR ID:
- 10059403
- Date Published:
- Journal Name:
- Proceedings of the International Conference on Information Systems
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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