6 papers
Crowds Believe in You: Online Prediction Markets Overestimate How Often People Achieve Their Own Goals
Zihan Chen, Lei Nico Zheng, Di Zhu
People increasingly share personal goals online and invite others to forecast them. Research on the planning fallacy finds that observers predict a person's behavior less optimisti…
Non-associative Hopf Algebra on Dyck Paths Arising from the Shuffle-insertion Product
Nantel Bergeron, Yuchen Guo, Huilan Li
In this paper, we define a shuffle-insertion product and a cut-box coproduct on the vector space spanned by Dyck paths, where the product is commutative but non-associative. We pro…
Abstract Priorities, Concrete Rewards: How Stated Preferences Relate to What People Reward in AI Responses
Zihan Chen, Lei Nico Zheng, Di Zhu
AI assistants built on large language models (LLMs) are trained on human feedback and increasingly personalized to users' stated preferences. Yet how closely these preferences refl…
Endorsement Without New Evidence: How Sequential Voting Inflates Mandates in Online Community Governance
Zihan Chen, Lei Nico Zheng, Di Zhu
Online communities often treat large support margins in public elections as strong mandates. We argue that such margins can overstate the independent scrutiny behind a decision. Us…
When Large Language Models Do Not Work: Online Incivility Prediction through Graph Neural Networks
Zihan Chen, Lanyu Yu
Online incivility has emerged as a widespread and persistent problem in digital communities, imposing substantial social and psychological burdens on users. Although many platforms…
Stand for Something or Fall for Everything: Predict Misinformation Spread with Stance-Aware Graph Neural Networks
Zihan Chen, Jingyi Sun, Rong Liu +1
Although pervasive spread of misinformation on social media platforms has become a pressing challenge, existing platform interventions have shown limited success in curbing its dis…