Resources & Publications

All members of the network can share their recent work on media bias here.

Resources

Most recent models are published on Huggingface

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

[Dataset, GitHub] BABE – Bias Annotations By Experts

[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 esupol haak myown schaer audience leaning based features bias bonart esupol myown schaer bias esupol haak myown schaer CAQDAS content analysis context analysis Coreference resolution crowdsourcing dataset emotions entity perception Game With A Purpose Hate speech detection HITL Horse race news linguistic bias media bias Media slant news analysis news bias news consumption in social media news slant perception of news Polarization relevance classification slanted coverage Social media synthetic annotations 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