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Papers
LLM-based Adversarial Dataset Augmentation for Automatic Media Bias Detection
NAACL 2025
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
NAACL 2025
Beyond the Surface: Spurious Cues in Automatic Media Bias Detection
EACL 2024
Eagles at FIGNEWS 2024 Shared Task: A Context-informed Prescriptive Approach to Bias Detection in Contentious News Narratives
ACL 2024
IndiVec: An Exploration of Leveraging Large Language Models for Media Bias Detection with Fine-Grained Bias Indicators
EACL 2024
MAGPIE: Multi-Task Analysis of Media-Bias Generalization with Pre-Trained Identification of Expressions
COLING 2024
Media Bias Detection Across Families of Language Models
NAACL 2024
Sentence-level Media Bias Analysis with Event Relation Graph
NAACL 2024
Crossing the Aisle: Unveiling Partisan and Counter-Partisan Events in News Reporting
EMNLP 2023
UnedMediaBiasTeam @ SemEval-2023 Task 3: Can We Detect Persuasive Techniques Transferring Knowledge From Media Bias Detection?
SemEval 2023
GREENER: Graph Neural Networks for News Media Profiling
EMNLP 2022
Sentence-level Media Bias Analysis Informed by Discourse Structures
EMNLP 2022
The Battlefront of Combating Misinformation and Coping with Media Bias
AACL 2022
Neural Media Bias Detection Using Distant Supervision With BABE - Bias Annotations By Experts
EMNLP 2021
Detecting Media Bias in News Articles using Gaussian Bias Distributions
EMNLP 2020
Media Bias, the Social Sciences, and NLP: Automating Frame Analyses to Identify Bias by Word Choice and Labeling
ACL 2020
In Plain Sight: Media Bias Through the Lens of Factual Reporting
EMNLP 2019
Predicting Factuality of Reporting and Bias of News Media Sources
EMNLP 2018