2 citations · 5 across the 10 of their papers we have counts for
9 papers · 1 filter
Multi-document Summarization through Multi-document Event Relation Graph Reasoning in LLMs: a case study in Framing Bias Mitigation
Yuanyuan Lei, Ruihong Huang
Media outlets are becoming more partisan and polarized nowadays. Most previous work focused on detecting media bias. In this paper, we aim to mitigate media bias by generating a ne…
Boosting Logical Fallacy Reasoning in LLMs via Logical Structure Tree
Yuanyuan Lei, Ruihong Huang
Logical fallacy uses invalid or faulty reasoning in the construction of a statement. Despite the prevalence and harmfulness of logical fallacies, detecting and classifying logical…
Evaluating Gender Bias of LLMs in Making Morality Judgements
Divij Bajaj, Yuanyuan Lei, Jonathan Tong +1
Large Language Models (LLMs) have shown remarkable capabilities in a multitude of Natural Language Processing (NLP) tasks. However, these models are still not immune to limitations…
Sentence-level Media Bias Analysis with Event Relation Graph
Yuanyuan Lei, Ruihong Huang
Media outlets are becoming more partisan and polarized nowadays. In this paper, we identify media bias at the sentence level, and pinpoint bias sentences that intend to sway reader…
EMONA: Event-level Moral Opinions in News Articles
Yuanyuan Lei, Md Messal Monem Miah, Ayesha Qamar +4
Most previous research on moral frames has focused on social media short texts, little work has explored moral sentiment within news articles. In news articles, authors often expre…
Polarity Calibration for Opinion Summarization
Yuanyuan Lei, Kaiqiang Song, Sangwoo Cho +3
Opinion summarization is automatically generating summaries from a variety of subjective information, such as product reviews or political opinions. The challenge of opinions summa…
All Things Considered: Detecting Partisan Events from News Media with Cross-Article Comparison
Yujian Liu, Xinliang Frederick Zhang, Kaijian Zou +3
Public opinion is shaped by the information news media provide, and that information in turn may be shaped by the ideological preferences of media outlets. But while much attention…
Identifying Conspiracy Theories News based on Event Relation Graph
Yuanyuan Lei, Ruihong Huang
Conspiracy theories, as a type of misinformation, are narratives that explains an event or situation in an irrational or malicious manner. While most previous work examined conspir…
Discourse Structures Guided Fine-grained Propaganda Identification
Yuanyuan Lei, Ruihong Huang
Propaganda is a form of deceptive narratives that instigate or mislead the public, usually with a political purpose. In this paper, we aim to identify propaganda in political news…