10 papers
From a Word-Level Dictionary to Sentence-Level Semantics: Multilingual Grievance Labelling with Contextual Models
Lin Tian, Marian-Andrei Rizoiu
Grievance is one of the warning signs analysts look for when assessing threats of violence. It is increasingly measured at scale from online text, most often with word-level lexico…
Long Live Fine-Tuning: Task-Specific Transformers Outperform Zero-Shot LLMs for Misinformation Response Classification on Reddit
JooYoung Lee, Lin Tian, Angela Brillantes +2
As large language models (LLMs) become default tools for online information verification, an implicit assumption follows them: that scale and general capability are sufficient for…
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…
Learning to Make Friends: Coaching LLM Agents toward Emergent Social Ties
Philipp J. Schneider, Lin Tian, Marian-Andrei Rizoiu
Can large language model (LLM) agents reproduce the complex social dynamics that characterize human online behavior -- shaped by homophily, reciprocity, and social validation -- an…
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…
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…