most citedUser Prompting Strategies and ChatGPT Contextual Adaptation Shape Conversational Information-Seeking Experiences

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC2026

Multimodal Large Language Models as Synthetic Participants in Video-Based Studies: An Evaluation

Prabal Shrestha, Bohan Jiang, Haoning Xue +2

Multimodal large language models (MLLMs) have shown strong performance on objective tasks such as video understanding and reasoning. However, it remains unclear whether they can ap…

cs.SI2026

#MakeBeefGreatAgain: A Cross-Platform Analysis of Early #MAHA Discourse

Haoning Xue, Yue Li, Benjamin A. Lyons +1

Make America Healthy Again (MAHA) is a health-related campaign slogan proposed by Robert F. Kennedy Jr. and later incorporated into the political coalition of President Trump. Whil…

cs.CV2026

A Computational Model of Message Sensation Value in Short Video Multimodal Features that Predicts Sensory and Behavioral Engagement

Haoning Xue, Jingwen Zhang, Xiaohui Wang +2

The contemporary media landscape is characterized by sensational short videos. While prior research examines the effects of individual multimodal features, the collective impact of…

cs.HC2025★ 1 cited

User Prompting Strategies and ChatGPT Contextual Adaptation Shape Conversational Information-Seeking Experiences

Haoning Xue, Yoo Jung Oh, Xinyi Zhou +2

Conversational AI, such as ChatGPT, is increasingly used for information seeking. However, little is known about how ordinary users actually prompt and how ChatGPT adapts its respo…

cs.CY2025★ 1 cited

Catching Dark Signals in Algorithms: Unveiling Audiovisual and Thematic Markers of Unsafe Content Recommended for Children and Teenagers

Haoning Xue, Brian Nishimine, Martin Hilbert +6

The prevalence of short form video platforms, combined with the ineffectiveness of age verification mechanisms, raises concerns about the potential harms facing children and teenag…