activity
20242026
most citedContent Quality vs. Attention Allocation: An LLM-Based Case Study in Peer-to-peer Mental Health Networks

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CY2026

A misinformation playbook sharpens judgement without breeding cynicism

Tong Guo, Teng Ye, Yutong Xie +1

Misinformation harms public health and democracy, and generative artificial intelligence now writes falsehoods as persuasive as people's. Defences range from fact-checking individu…

cs.AI2025

Through the Judge's Eyes: Inferred Thinking Traces Improve Reliability of LLM Raters

Xingjian Zhang, Tianhong Gao, Suliang Jin +4

Large language models (LLMs) are increasingly used as raters for evaluation tasks. However, their reliability is often limited for subjective tasks, when human judgments involve su…

cs.HC2025

AI Behavioral Science: A Framework and Agenda

Matthew O. Jackson, Qiaozhu Me, Stephanie W. Wang +16

We discuss the challenges and opportunities present in the rapidly emerging area of ``AI Behavioral Science.'' We frame it via three subfields. First, as AI becomes ubiquitous and…

cs.SI2024★ 1 cited

Content Quality vs. Attention Allocation: An LLM-Based Case Study in Peer-to-peer Mental Health Networks

Teng Ye, Hanson Yan, Xuhuan Huang +4

With the rise of social media and peer-to-peer networks, users increasingly rely on crowdsourced responses for information and assistance. However, the mechanisms used to rank and…

econ.GN2024

Using Artificial Intelligence to Unlock Crowdfunding Success for Small Businesses

Teng Ye, Jingnan Zheng, Junhui Jin +3

While small businesses are increasingly turning to online crowdfunding platforms for essential funding, over 40% of these campaigns may fail to raise any money, especially those fr…