Generative AI in User-Generated Content
Document Type
Conference Proceeding
Publication Date
5-11-2024
Abstract
Generative AI (Gen-AI) is rapidly changing the landscape of User-Generated Content (UGC) on social media. AI tools for generating text, images, and videos, such as Large-Language Models (LLM), image generation AI, AI-powered video material tools, and deep fake technologies, are accelerating creators in obtaining content ideas, drafting outlines, and streamlining creative workflows. The capabilities of Gen-AI could introduce new opportunities to lower the bar and accelerate the pace of content creation for grassroots creators, thereby expanding the volume of AI-generated UGC on social media. However, we lack the necessary understanding of how the wide deployment of such technologies will impact the social media ecosystem. The introduction of Gen-AI can lead to both opportunities and potential challenges among different creator communities, requiring collaboration from both academia and industry. This workshop seeks to bring together experts working on relevant topics of Gen-AI and UGC, to roadmap research on important issues boldly and responsibly.
Identifier
85194144012 (Scopus)
ISBN
[9798400703317]
Publication Title
Conference on Human Factors in Computing Systems - Proceedings
External Full Text Location
https://doi.org/10.1145/3613905.3636315
Recommended Citation
Hua, Yiqing; Niu, Shuo; Cai, Jie; Chilton, Lydia B.; Heuer, Hendrik; and Wohn, Donghee Yvette, "Generative AI in User-Generated Content" (2024). Faculty Publications. 434.
https://digitalcommons.njit.edu/fac_pubs/434
