Here you can find...
Selected Projects
Resources (Publications below)
Most recent models & datasets are published on Huggingface
[Code, GitHub] SciDef: Automated Definition Extraction from Scientific Literature
[Dataset, Huggingface] DefSim – Dataset for Benchmarking Similarity Metrics in Scientific Context
[Dataset, Huggingface] DefExtra – Dataset for Benchmarking Definition Extraction from Scientific Papers
[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
2027
Hinterreiter, Smi; Bahß, Anna Chelsea; Gah, Ann-Christin; Echizen, Isao; Spinde, Timo; Latoschik, Marc Erich
Visual Indicators to Increase the Detection of Linguistic Media Bias Journal Article
In: IEEE Transactions on Visualization & Computer Graphics [Conditionally Accepted], vol. 33, no. 01, 2027.
Links | BibTeX | Tags: bias indication, media bias perception
@article{hinterreiterVisualIndicators2026,
title = {Visual Indicators to Increase the Detection of Linguistic Media Bias},
author = {Smi Hinterreiter and Anna Chelsea Bahß and Ann-Christin Gah and Isao Echizen and Timo Spinde and Marc Erich Latoschik},
url = {https://media-bias-research.org/wp-content/uploads/2026/07/26_Hinterreiter_BiasIndicators_VIS26.pdf},
year = {2027},
date = {2027-01-01},
urldate = {2027-01-01},
journal = {IEEE Transactions on Visualization & Computer Graphics [Conditionally Accepted]},
volume = {33},
number = {01},
publisher = {IEEE Computer Society},
keywords = {bias indication, media bias perception},
pubstate = {published},
tppubtype = {article}
}
