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 automated content analysis bias bonart esupol myown schaer CAQDAS context analysis crowdsourcing dataset entity perception Game With A Purpose Hate speech detection HITL Horse race news linguistic bias media bias media bias; bias by omission; news articles; co-occurrences news analysis news bias news slant perception of news Polarization Political immunity relevance classification slanted coverage Social media synthetic annotations taxonomy building text analysis text retrieval Transfer learning

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2021

Haak, Fabian; Schaer, Philipp

Perception-Aware Bias Detection for Query Suggestions Proceedings Article

In: Boratto, Ludovico; Faralli, Stefano; Marras, Mirko; Stilo, Giovanni (Ed.): Advances in Bias and Fairness in Information Retrieval - Second International Workshop on Algorithmic Bias in Search and Recommendation, BIAS 2021, Lucca, Italy, April 1, 2021, Proceedings, Springer Nature, Switzerland, 2021, ISBN: 978-3-030-78817-9.

Links | BibTeX | Tags: 2021 bias esupol haak myown schaer