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Most recent models are published on Huggingface

[Benchmark, GitHub] MBIB – the first Media Bias Identification Benchmark Task and Dataset Collection

[Dataset, Huggingface] Anno-lexical (Lexical bias)

[Dataset, GitHub] BABE – Bias Annotations By Experts

[Dataset, Paper] BAT – Bias And Twitter

[Scale/Questionnaire to measure bias perception] Do You Think It’s Biased? How To Ask For The Perception Of Media Bias (A set of tested questions to assess media bias perception to be used in any bias-related research)

[Dataset, Zenodo] MBIC -A Media Bias Annotation Dataset Including Annotator Characteristics

Publications

2021 bias classification data engelmann haak nlp programming snorkel toxic 2021 bias esupol haak myown schaer automated content analysis automated frame analysis bias bonart esupol myown schaer bias esupol haak myown schaer consensus Cross-document coreference resolution crowdsourcing dataset definition extraction entity perception feature engineering Filter bubble frame analysis lexical bias linguistic bias LLM media bias Motivated beliefs news analysis news bias news consumption in social media news slant NLP Polarization Political immunity Selective exposure text analysis Transfer learning

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2025

Spinde, Timo; Lin, Luyang; Hinterreiter, Smi; Echizen, Isao

Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic — A Case Study on Media Bias Proceedings Article Forthcoming

In: Proceedings of the International AAAI Conference on Web and Social Media (ICWSM'25), AAAI, Copenhagen, Denmark, Forthcoming.

Abstract | Links | BibTeX | Tags: definition extraction, LLM, media bias, relevance classification, taxonomy building