activity
20242026
most citedThe Media Bias Taxonomy: A Systematic Literature Review on the Forms and Automated Detection of Media Bias

12 citations · 12 across the 5 of their papers we have counts for

collaborators

6 papers

cs.HC2026

The Landscape of Misinformation Literacy Games: A Systematic Mapping Review of Game Designs and Evaluation Practices

Omed Abed, Smi Hinterreiter, Sijia Guo +3

This systematic mapping review examines 54 gamified interventions aimed at combating misinformation. We analyze the theoretical frameworks, game design, and media contexts of acade…

cs.HC2026

Visual Indicators to Increase the Detection of Linguistic Media Bias

Smi Hinterreiter, Anna Chelsea Bahß, Ann-Christin Gah +3

The influence of linguistic bias in online news articles is a growing concern, particularly in the context of shaping public opinion and rising political polarization. While there…

cs.CL2025

Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias

Timo Spinde, Luyang Lin, Smi Hinterreiter +1

This paper introduces TaxoMatic, a framework that leverages large language models to automate definition extraction from academic literature. Focusing on the media bias domain, the…

cs.HC2024

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…

cs.HC2024

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,…

cs.CL2024★ 12 cited

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…