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 classification data engelmann haak nlp programming snorkel toxic audience leaning based features bias bonart esupol myown schaer bias esupol haak myown schaer bias visualization CAQDAS CAS content analysis context analysis Coreference resolution crowdsourcing dataset emotions entity perception Game With A Purpose HITL linguistic bias media bias Media slant multi-task learning news analysis news bias news consumption in social media news slant perception of news Polarization purple feed slanted coverage Social media Transfer learning

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2025

Hinterreiter, Smi; Wessel, Martin; Schliski, Fabian; Echizen, Isao; Latoschik, Marc Erich; Spinde, Timo

NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback Proceedings Article Forthcoming

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

Abstract | Links | BibTeX | Tags: crowdsourcing, HITL, linguistic bias, media bias, news bias