Resources
Most recent models are published on Huggingface
[Benchmark, GitHub] MBIB – the first Media Bias Identification Benchmark Task and Dataset Collection
[Dataset, Huggingface] Anno-lexical (Lexical bias)
[Dataset, GitHub] BABE – Bias Annotations By Experts
[Dataset, Paper] BAT – Bias And Twitter
[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
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
@inproceedings{haak2021perceptionaware,
title = {Perception-Aware Bias Detection for Query Suggestions},
author = {Fabian Haak and Philipp Schaer},
editor = {Ludovico Boratto and Stefano Faralli and Mirko Marras and Giovanni Stilo},
doi = {10.1007/978-3-030-78818-6_12},
isbn = {978-3-030-78817-9},
year = {2021},
date = {2021-01-01},
booktitle = {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},
volume = {1418},
publisher = {Springer Nature},
address = {Switzerland},
series = {Communications in Computer and Information Science},
keywords = {2021 bias esupol haak myown schaer},
pubstate = {published},
tppubtype = {inproceedings}
}