Generative AI in User-Generated Content

被引:0
|
作者
Hua, Yiqing [1 ]
Niu, Shuo [2 ]
Cai, Jie [3 ]
Chilton, Lydia B. [4 ]
Heuer, Hendrik [5 ]
Wohn, Donghee Yvette [6 ]
机构
[1] Google, Mountain View, CA 94043 USA
[2] Clark Univ, Worcester, MA USA
[3] Penn State Univ, University Pk, PA USA
[4] Columbia Univ, New York, NY USA
[5] Univ Bremen, Bremen, Germany
[6] New Jersey Inst Technol, Newark, NJ USA
关键词
ENGAGEMENT;
D O I
10.1145/3613905.3636315
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
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.
引用
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页数:7
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