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conftrace_

media analysis

20 papers

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