Congratulations to Bohan Jiang, Zhen Tan and Ujun Jeong, doctoral students working under the supervision of Regents Professor Huan Liu, at the School of Computing and Augmented Intelligence, or SCAI, part of the Ira. A. Fulton Schools of Engineering at ASU, who will attend the SIAM International Conference on Data Mining, or SDM24, which will be held on April 18-24 in Houston, Texas.
There, Jiang will present the peer-reviewed paper, “Disinformation Detection: An Evolving Challenge in the Age of LLMs.” Co-authored by SCAI doctoral student, Ayushi Nirmal and Liu, the paper explores how large language models, or LLMs, such as ChatGPT, can be used to generate highly persuasive disinformation at a massive scale and whether current detection techniques are effective at spotting the fakes. The paper also proposes the introduction of new, advanced learning prompts to help LLMs better detect misinformation.
Meanwhile, Jeong will present the paper, “User Migration across Multiple Social Media Platforms,” which studies the behavior of users as they leave sites like X (formerly Twitter) in favor of new sites like Meta’s Threads in the hopes of determining how factors like interface design, social media fatigue and disinformation influence brand loyalty. Also co-authored by Nirmal, along with Kritshekhar Jha, Susan Xu Tang, a clinical assistant professor in the ASU Department of Economics, H. Russell Bernard, director of the Institute for Social Science Research, and Liu, the paper examines the use of an LLM to determine how users’ attitudes correlated with their usage of the social sites.
Both papers were supported by the U.S. Office of Naval Research.
SDM24 provides a venue for researchers to address data mining — the process of using data to acquire valuable knowledge. It also provides a setting for doctoral students to network and get feedback. Attendees will learn about cutting-edge research, hear outstanding invited speakers and attend presentations and tutorials.
Liu’s students are excited for the opportunity. “This is an important step in my academic career,” Jeong says. “I can’t wait to connect with other scholars at the conference.”
Jiang agrees. “Attending conferences is important for learning and networking, he says. “It’s one of the best places to advertise our research and school I look forward to getting cutting-edge ideas from experts in the field of data mining.”
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