Exploring the Evolvement of Artwork Descriptions in Online Creative Community under the Surge of Generative AI: A Case Study of DeviantArt-Reference-Cited by-同舟云学术

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Exploring the Evolvement of Artwork Descriptions in Online Creative Community under the Surge of Generative AI: A Case Study of DeviantArt

Published:2024-05-11 Issue: Volume:18 Page:1-7
ISSN:
Container-title:Extended Abstracts of the CHI Conference on Human Factors in Computing Systems
language:
Short-container-title:

Author:

Guo Qingyu¹^ORCID,Yuan Kangyu²^ORCID,He Changyang³^ORCID,Peng Zhenhui²^ORCID,Ma Xiaojuan⁴^ORCID

Affiliation:

1. Hong Kong University of Science and Technology, China

2. School of Artificial Intelligence, Sun Yat-sen University, China

3. Department of Computer Science and Engineering, Hong Kong University of Science and Technology, China

4. Hong Kong University of Science and Technology, Hong Kong

Funder

HKUST - WeBank Joint Laboratory Project Grant

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613905.3650851

Reference43 articles.

1. Safinah Ali and Cynthia Breazeal. 2023. Studying Artist Sentiments around AI-generated Artwork. arXiv preprint arXiv:2311.13725 (2023).

2. Hangbo Bao, Li Dong, Songhao Piao, and Furu Wei. 2021. Beit: Bert pre-training of image transformers. arXiv preprint arXiv:2106.08254 (2021).

3. Gordon Burtch, Dokyun Lee, and Zhichen Chen. 2023. The consequences of generative ai for ugc and online community engagement. Available at SSRN 4521754 (2023).

4. Community Resilience: Quantifying the Disruptive Effects of Sudden Spikes in Activity within Online Communities

5. Gillian Chen and Lillio Mok. 2021. Characterizing growth and decline in online ux communities. In Extended abstracts of the 2021 CHI conference on human factors in computing systems. 1–7.

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