most citedBefore It's Too Late: A State Space Model for the Early Prediction of Misinformation and Disinformation Engagement

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

collaborators

7 papers

cs.SI2026

DREAMS: A Social Exchange Theory-Informed Modeling of Misinformation Engagement on Social Media

Lin Tian, Marian-Andrei Rizoiu

Social media engagement prediction is a central challenge in computational social science, particularly for understanding how users interact with misinformation. Existing approache…

cs.AI2025

Tree of Agents: Improving Long-Context Capabilities of Large Language Models through Multi-Perspective Reasoning

Song Yu, Xiaofei Xu, Ke Deng +2

Large language models (LLMs) face persistent challenges when handling long-context tasks, most notably the lost in the middle issue, where information located in the middle of a lo…

cs.CL2025

X-Troll: eXplainable Detection of State-Sponsored Information Operations Agents

Lin Tian, Xiuzhen Zhang, Maria Myung-Hee Kim +2

State-sponsored trolls, malicious actors who deploy sophisticated linguistic manipulation in coordinated information campaigns, posing threats to online discourse integrity. While…

cs.CL2025

Mario at EXIST 2025: A Simple Gateway to Effective Multilingual Sexism Detection

Lin Tian, Johanne R. Trippas, Marian-Andrei Rizoiu

This paper presents our approach to EXIST 2025 Task 1, addressing text-based sexism detection in English and Spanish tweets through hierarchical Low-Rank Adaptation (LoRA) of Llama…

cs.CL2025

Estimating Online Influence Needs Causal Modeling! Counterfactual Analysis of Social Media Engagement

Lin Tian, Marian-Andrei Rizoiu

Understanding true influence in social media requires distinguishing correlation from causation--particularly when analyzing misinformation spread. While existing approaches focus…

cs.CL2025

Signals from the Floods: AI-Driven Disaster Analysis through Multi-Source Data Fusion

Xian Gong, Paul X. McCarthy, Lin Tian +1

Massive and diverse web data are increasingly vital for government disaster response, as demonstrated by the 2022 floods in New South Wales (NSW), Australia. This study examines ho…