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.

How to Attend

The workshop will be conducted in a hybrid mode. The event will be held in-person at CHI '24 and will also be available on Zoom or a similar platform. To participate, you are invited to submit an abstract or a two-page position paper detailing your research background, your interest in Generative AI and content creation, and/or your prospective related work. We are keen to understand how your research intersects with Gen-AI content, creators, consumers, communities, and platforms. With your consent, your submitted abstract will be published on the workshop website and ArXiv. During the workshop, we will brainstorm the impact of generative AI on content creation, as well as the potential opportunities and challenges it might introduce. Subsequently, attendees will collaborate to draft design guidelines for employing Gen-AI on social media. At least one author of each accepted submission must be present at the workshop physically or virtually. All attendees must register for the workshop and for at least one day of the conference.

🗓️ Deadline: March 11, Workshop: May 12

📧 Contact: genaiugc24chi@googlegroups.com

Submit an Abstract or Position Paper

Panelists

We will invite both industry and academic practitioners to a panel to discuss how Gen-AI impacts UGC.

Dingzeyu Li

Senior Research Scientist

Adobe Research

Joon Sung Park

PhD Student

Stanford

Renee Shelby

Researcher

Google

Amy Zhang

Assistant Professor

University of Washington

Content

What types of user-generated content can make use of generative AI and how?
How can methods be used to study AI-generated content? How can HCI methods such as user studies, content analysis, auditing, etc., be applied in studying Gen-AI content?
How can generative AI be misused, especially regarding critical issues such as misinformation, plagiarism, online radicalization, and others?

Creator

How will AI-generated content impact content creators?
How does AI-generated content influence creative process?
How does content creators collaborate with Gen-AI?
How will AI-generated content affect the ability of traditional creators to monetize effectively?

Consumer

How does the increasing amount of AI-generated content impact consumers?
What values can AI-generated content bring to social media users?
How does AI influence people’s trust in the content credibility?

Community

How can generative AI impact disadvantaged communities?
Does GenAI lead to new inequities for disadvantaged groups?
How can the risks to disadvantaged communities be mitigated?

Platform

How may Gen-AI impact the social media ecosystem when applied to user-generated content?
How should the platform index and curate AI-generated content?
Given the risks that generative AI may present, how does this impact moderation needs?

Organizers

Yiqing Hua

Yiqing Hua is a software engineer at YouTube. Her current work focuses on racial justice, equity and product inclusion on YouTube. She received her PhD from Cornell in 2022. Her PhD research lies in the intersection of social computing and security and privacy. Her work focuses on characterizing threats to online trust and safety, and enabling abuse mitigation in privacy-sensitive environments.

Shuo Niu

Shuo Niu is an assistant professor of Computer Science at Clark University. He investigates collaborative and community activities on video-sharing platforms like YouTube and TikTok. His research delves into vast video data sets to scrutinize interactions with user-generated videos, as well as the underlying recommendation and AI algorithms. Specifically, Niu is keen on examining the socio-technical infrastructure of video-sharing platforms and its implications on mental health, misinformation, and technology design.

Jie Cai

Jie Cai is an assistant research professor at College of IST, Penn State University. His primary interests focus on phenomena in novel and interactive online communities in HCI and CSCW, such as gaming, shopping, and content moderation. He applies mixed (e.g., interview, observation, survey) methods to understand users’ decision-making and behavioral patterns. He is currently working on content moderation in live streaming communities, focusing on understanding volunteer moderators' practices to support streamers' community growth.

Lydia B. Chilton

Lydia B. Chilton is an assistant professor in the Computer Science Department at Columbia University. Her research is in computational design - how computation and AI can help people with design, innovation, and creative problem-solving. Applications include: creating media for journalism, developing technology for public libraries, improving risk communication during hurricanes, helping scientists explain their work, and improving mental health in marginalized communities.

Hendrik Heuer

Hendrik Heuer is a senior researcher at the Institute for Information Management Bremen (ifib) and the Centre for Media, Communication and Information Research (ZeMKI) at the University of Bremen. His research focuses on Human-Computer Interaction and Machine Learning. Currently, he is working on ways to fight misinformation.

Zhicong Lu

Zhicong Lu is an assistant professor at the Department of Computer Science, City University of Hong Kong. His interests lie at the intersection of HCI, social computing, computational social science, and machine learning, especially in studying, designing, and building systems that support social interactions, to enhance trust, engagement, and knowledge sharing in virtual and physical spaces. He is currently exploring how to leverage live streaming for sharing knowledge and safeguarding Intangible Cultural Heritage (ICH).

Donghee Yvette Wohn

Donghee Yvette Wohn is an associate professor at NJIT and director of the Social Interaction Lab. Her research is in the area of Human Computer Interaction where she studies the characteristics and consequences of social interactions in online environments such as livestreaming, esports, virtual worlds/metaverse, and social media. Funded by the National Science Foundation, Mozilla Foundation, and Yahoo, her main projects examine 1) content moderation, online harassment and the creation/maintenance of online safe spaces, 2) social exchange in digital economies and digital patronage (creator-supporter dynamics), and 3) news consumption via social media.

CHI24 Hybrid Workshop

Generative AI in User-Generated Content