129 citations · 848 across the 73 of their papers we have counts for
15 papers · 1 filter
Misinformation Without Triggers: From Factual Answers to Downstream Decisions
Lin Tian, Marian-Andrei Rizoiu
Language models learn from web documents, some of them false, and false content can reach a model's answer to a factual question and the summaries and decisions that use it. Most d…
Reading Too Much into Context: Passive Exposure Can Steer LLM Decisions
Yuxiang Zheng, Lin Tian, Marian-Andrei Rizoiu
Large language model (LLM) assistants can now search the web and consult external sources while completing user requests. These sources can provide useful evidence, but they can al…
Less Is Moral: A CHARMing Framework for Moral Foundations Detection in Endorsement Behaviour
Huixiang Fu, Marian-Andrei Rizoiu
Moral language plays a central role in shaping online endorsement and the diffusion of information, yet existing moral foundation detection systems often suffer from poor cross-dom…
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…
Cost-Pragmatic Quality Gating and Selection-Fusion Multi-Model Combiners for BioASQ Phases A+ and B
Dima Galat, Marian-Andrei Rizoiu
We describe our BioASQ Task 14B 2026 system. The work centers on two design decisions: how aggressively to re-retrieve when first-stage retrieval is weak, and how to combine multip…
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…
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…
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…
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…
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…
Before It's Too Late: A State Space Model for the Early Prediction of Misinformation and Disinformation Engagement
Lin Tian, Emily Booth, Francesco Bailo +2
In today's digital age, conspiracies and information campaigns can emerge rapidly and erode social and democratic cohesion. While recent deep learning approaches have made progress…
Misinformation is not about Bad Facts: An Analysis of the Production and Consumption of Fringe Content
JooYoung Lee, Emily Booth, Hany Farid +1
What if misinformation is not an information problem at all? To understand the role of news publishers in potentially unintentionally propagating misinformation, we examine how far…
Enhancing Biomedical Text Summarization and Question-Answering: On the Utility of Domain-Specific Pre-Training
Dima Galat, Marian-Andrei Rizoiu
Biomedical summarization requires large datasets to train for text generation. We show that while transfer learning offers a viable option for addressing this challenge, an in-doma…
Generalizing Hate Speech Detection Using Multi-Task Learning: A Case Study of Political Public Figures
Lanqin Yuan, Marian-Andrei Rizoiu
Automatic identification of hateful and abusive content is vital in combating the spread of harmful online content and its damaging effects. Most existing works evaluate models by…
CommentWatcher: An Open Source Web-based platform for analyzing discussions on web forums
Marian-Andrei Rizoiu, Adrien Guille, Julien Velcin
We present CommentWatcher, an open source tool aimed at analyzing discussions on web forums. Constructed as a web platform, CommentWatcher features automatic mass fetching of user…