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 content analysis automated frame analysis bias bonart esupol myown schaer bias data set bias visualization consensus Cross-document coreference resolution crowdsourcing dataset feature engineering Filter bubble frame analysis lexical bias linguistic bias LLMs media bias media bias; bias by omission; news articles; co-occurrences 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

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