Abstract
The rise of AI-generated content (AIGC) is transforming online creative communities (OCCs) and posing challenges to their regulation. Artwork description may reveal creators' practice and motivation in creating and sharing artwork. Understanding the influence of AIGC on creators' descriptions of shared artwork could be helpful for community regulation. In this work, we collect 235K posts from DeviantArt, a large creative community that allows uploading AIGC. We confirm the prevalence of AIGC in the community. Through an open coding on 800 randomly sampled posts, we identify five themes in artwork descriptions. We quantitatively examine how these themes are affected by the prevalence of AIGC via statistical analysis. Results indicate a shift towards commercial opportunities and a reduced focus on copyright since the prevalence of AIGC. Descriptions for AI-generated artworks are more likely to direct members to other creations than those for human-created artworks. Finally, we discuss insights for OCCs.
| Original language | English |
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| Title of host publication | CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems |
| Publisher | Association for Computing Machinery |
| ISBN (Electronic) | 9798400703317 |
| DOIs | |
| Publication status | Published - 11 May 2024 |
| Event | 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 - Hybrid, Honolulu, United States Duration: 11 May 2024 → 16 May 2024 |
Publication series
| Name | Conference on Human Factors in Computing Systems - Proceedings |
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Conference
| Conference | 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024 |
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| Country/Territory | United States |
| City | Hybrid, Honolulu |
| Period | 11/05/24 → 16/05/24 |
Bibliographical note
Publisher Copyright:© 2024 Association for Computing Machinery. All rights reserved.
Keywords
- AI-generated content
- Online creative community
- generative AI