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 automated frame analysis bias bonart esupol myown schaer bias data set bias visualization CAS consensus content analysis Cross-document coreference resolution crowdsourcing dataset feature engineering Filter bubble frame analysis lexical bias linguistic bias LLMs media bias Motivated beliefs multi-task learning news analysis news bias news slant NLP Polarization purple feed Selective exposure Sentiment analysis Transfer learning visualization;costs;atmospheric measurements;voting;natural languages;manuals;particle measurements

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2021

Spinde, Timo

An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles Proceedings Article

In: 2021 IEEE International Conference on Data Mining Workshops (ICDMW), 2021.

Links | BibTeX | Tags: media bias, news analysis, slanted coverage, text retrieval