TY - GEN
T1 - Generative AI in User-Generated Content
AU - Hua, Yiqing
AU - Niu, Shuo
AU - Cai, Jie
AU - Chilton, Lydia B.
AU - Heuer, Hendrik
AU - Wohn, Donghee Yvette
N1 - Publisher Copyright:
© 2024 Owner/Author.
PY - 2024/5/11
Y1 - 2024/5/11
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85194144012&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85194144012&partnerID=8YFLogxK
U2 - 10.1145/3613905.3636315
DO - 10.1145/3613905.3636315
M3 - Conference contribution
AN - SCOPUS:85194144012
T3 - Conference on Human Factors in Computing Systems - Proceedings
BT - CHI 2024 - Extended Abstracts of the 2024 CHI Conference on Human Factors in Computing Sytems
PB - Association for Computing Machinery
T2 - 2024 CHI Conference on Human Factors in Computing Sytems, CHI EA 2024
Y2 - 11 May 2024 through 16 May 2024
ER -