35 citations · 179 across the 20 of their papers we have counts for
5 papers · 1 filter
The Promises and Pitfalls of LLM Annotations in Dataset Labeling: a Case Study on Media Bias Detection
Tomas Horych, Christoph Mandl, Terry Ruas +4
High annotation costs from hiring or crowdsourcing complicate the creation of large, high-quality datasets needed for training reliable text classifiers. Recent research suggests u…
NewsUnfold: Creating a News-Reading Application That Indicates Linguistic Media Bias and Collects Feedback
Smi Hinterreiter, Martin Wessel, Fabian Schliski +3
Media bias is a multifaceted problem, leading to one-sided views and impacting decision-making. A way to address digital media bias is to detect and indicate it automatically throu…
News Ninja: Gamified Annotation of Linguistic Bias in Online News
Smi Hinterreiter, Timo Spinde, Sebastian Oberdörfer +2
Recent research shows that visualizing linguistic bias mitigates its negative effects. However, reliable automatic detection methods to generate such visualizations require costly,…
MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
Tomáš Horych, Martin Wessel, Jan Philip Wahle +6
Media bias detection poses a complex, multifaceted problem traditionally tackled using single-task models and small in-domain datasets, consequently lacking generalizability. To ad…
The Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias
Timo Spinde, Smi Hinterreiter, Fabian Haak +4
The way the media presents events can significantly affect public perception, which in turn can alter people's beliefs and views. Media bias describes a one-sided or polarizing per…