Resources & Publications

Resources

[Dataset, GitHub] BABE – Bias Annotations By Experts (High-quality media bias sentence and word level data set)

[Paper] 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 2021 bias esupol haak myown schaer audience leaning based features bias bonart esupol myown schaer bias data set bias esupol haak myown schaer bias visualization consensus content analysis context analysis feature engineering Filter bubble frame analysis Horse race news media bias media bias; bias by omission; news articles; co-occurrences Media slant Motivated beliefs news analysis news bias news consumption in social media news slant perception of news Polarization Political immunity purple feed Selective exposure Social media text analysis text retrieval

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2021

Haak, Fabian; Schaer, Philipp

Perception-Aware Bias Detection for Query Suggestions Inproceedings

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