Creativity Supportive Ecosystems: A Framework for Understanding Function and Disruption in Online Art Worlds
Shm Garanganao Almeda, Joy O. Kim, Bjoern Hartmann
摘要
The online art world is a double-edged sword: the Internet’s vibrant culture of open, cooperative art-sharing also attracts non-consensual reuse and appropriation. Artists continually navigate supportive and challenging interactions on social platforms, including community-shifting disruptions; the reuse of creative work for training generative AI is only the latest such disruption. Research into creativity support tools (CSTs) often centers artifact-making, leaving the HCI community with few strategies to understand the downstream impacts CSTs can make on artifact-sharing. Seeking a framework that captures this, we develop the creativity supportive ecosystem through interviews with 20 online artists, and 8 data “stewards” with experience reusing creative data for training GenAI. We use the CSE to describe how creative communities perceive and respond to disruption, identifying opportunities to empower artists in their collective negotiations with disruptive technologies like GenAI: by centering artists as producers of value, identifying creative and alternative data practices, and empowering inter-community flexibility.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper11
- Do Datasets Have Politics? Disciplinary Values in Computer Vision Dataset DevelopmentMorgan Klaus Scheuerman, Alex Hanna, Emily DentonCSCW 2021 · 被引用 169 次
- Nightshade: Prompt-Specific Poisoning Attacks on Text-to-Image Generative ModelsShawn Shan, Wenxin Ding, Josephine Passananti, Stanley Wu 等S&P 2024 · 被引用 102 次
- "At the End of the Day Facebook Does What ItWants": How Users Experience Contesting Algorithmic Content ModerationKristen Vaccaro, Christian Sandvig, Karrie KarahaliosCSCW 2020 · 被引用 79 次
- Beyond the Artifact: Power as a Lens for Creativity Support ToolsJingyi Li, Eric Rawn, Jacob Ritchie, Jasper Tran O'Leary 等UIST 2023 · 被引用 79 次
- Evaluating Data Attribution for Text-to-Image ModelsSheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard ZhangICCV 2023 · 被引用 51 次
相关 Paper
- Exploring the Impact of AI-powered Creativity Support Tools on Professional Creative WorkflowsCaterina Moruzzi, Charlotte Bird, Laura Mariah HermanCSCW 2026
- "I Just Don't Want My Work Being Fed Into The AI Blender": Queer Artists on Refusing and Resisting Generative AIJordan Taylor, Joel Mire, Alicia DeVrio, Maarten Sap 等CSCW 2026
- Generative AI in the Wild: Prospects, Challenges, and StrategiesYuan Sun, Eunchae Jang, Fenglong Ma, Ting WangCHI 2024 · 被引用 63 次
- Designing Privacy Choice in Generative AI Chatbot EcosystemsLanjing Liu, Xinran Adeline Li, Allen Yilun Lin, Yaxing YaoCHI 2026 · 被引用 1 次
- Generative AI in Children's Creative Collaboration: Impact, Perception, and Design GuidelinesDaeun Yoo, Michele Newman, Caroline Pitt, Kevin Huu Vo 等CHI 2026 · 被引用 1 次
