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Papers
Assessing Reliability and Political Bias In LLMs’ Judgements of Formal and Material Inferences With Partisan Conclusions
ACL 2025
A Survey on Predicting the Factuality and the Bias of News Media
ACL 2024
SAFARI: Cross-lingual Bias and Factuality Detection in News Media and News Articles
EMNLP 2024
An Integrated Approach for Political Bias Prediction and Explanation Based on Discursive Structure
ACL 2023
Disentangling Structure and Style: Political Bias Detection in News by Inducing Document Hierarchy
EMNLP 2023
Towards Detecting Political Bias in Hindi News Articles
ACL 2022
Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments
ACL 2021
Analyzing Political Bias and Unfairness in News Articles at Different Levels of Granularity
EMNLP 2020
KnowBias: Detecting Political Polarity in Long Text Content (Student Abstract)
AAAI 2020
We Can Detect Your Bias: Predicting the Political Ideology of News Articles
EMNLP 2020
What Was Written vs. Who Read It: News Media Profiling Using Text Analysis and Social Media Context
ACL 2020
Detecting Political Bias in News Articles Using Headline Attention
ACL 2019
Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information
Interspeech 2019
TakeLab at SemEval-2019 Task 4: Hyperpartisan News Detection
SemEval 2019