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Papers
Actors, Frames and Arguments: A Multi-Decade Computational Analysis of Climate Discourse in Financial News using Large Language Models
EACL 2026
Dataset of News Articles with Provenance Metadata for Media Relevance Assessment
ACL 2025
Framing the Language: Fine-Tuning Gemma 3 for Manipulation Detection
ACL 2025
Interpretable Models for Detecting Linguistic Variation in Russian Media: Towards Unveiling Propagandistic Strategies during the Russo-Ukrainian War
NAACL 2025
Large Language Models as Reader for Bias Detection
EMNLP 2025
Profiling News Media for Factuality and Bias Using LLMs and the Fact-Checking Methodology of Human Experts
ACL 2025
Seeing the Same Story Differently: Framing‐Divergent Event Coreference for Computational Framing Analysis
EMNLP 2025
Studying the Representation of the LGBTQ+ Community in RuPaul’s Drag Race with LLM-Based Topic Modeling
NAACL 2025
A Computational Analysis of the Dehumanisation of Migrants from Syria and Ukraine in Slovene News Media
COLING 2024
Metaphorical Framing of Refugees, Asylum Seekers and Immigrants in UKs Left and Right-Wing Media
EACL 2024
Quantifying Political Polarization through the Lens of Machine Translation and Vicarious Offense
AAAI 2024
Reap the Wild Wind: Detecting Media Storms in Large-Scale News Corpora
EMNLP 2024
Challenges and Opportunities in Information Manipulation Detection: An Examination of Wartime Russian Media
EMNLP 2022
No Word Embedding Model Is Perfect: Evaluating the Representation Accuracy for Social Bias in the Media
EMNLP 2022
A Mixed-Methods Analysis of Western and Hong Kong–based Reporting on the 2019–2020 Protests
EMNLP 2021
Detecting Frames in News Headlines and Lead Images in U.S. Gun Violence Coverage
EMNLP 2021
To Protect and To Serve? Analyzing Entity-Centric Framing of Police Violence
EMNLP 2021
Analyzing Gender Bias within Narrative Tropes
EMNLP 2020
Tanbih: Get To Know What You Are Reading
EMNLP 2019
Predicting Factuality of Reporting and Bias of News Media Sources
EMNLP 2018