Dies ist eine Übersichtsseite mit Metadaten zu dieser wissenschaftlichen Arbeit. Der vollständige Artikel ist beim Verlag verfügbar.
Generative AI in User-Generated Content
18
Zitationen
6
Autoren
2024
Jahr
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.
Ähnliche Arbeiten
Transaction-Cost Economics: The Governance of Contractual Relations
1979 · 9.994 Zit.
Open Innovation: The New Imperative for Creating and Profiting from Technology
2003 · 9.454 Zit.
The dynamics of crowdfunding: An exploratory study
2013 · 3.977 Zit.
Opinion Paper: “So what if ChatGPT wrote it?” Multidisciplinary perspectives on opportunities, challenges and implications of generative conversational AI for research, practice and policy
2023 · 3.281 Zit.
Open Innovation: The New Imperative for Creating and Profiting from Technology
2004 · 2.823 Zit.