21 citations · 21 across the 5 of their papers we have counts for
7 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…
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…
An Interdisciplinary Approach for the Automated Detection and Visualization of Media Bias in News Articles
Timo Spinde
Media coverage has a substantial effect on the public perception of events. Nevertheless, media outlets are often biased. One way to bias news articles is by altering the word choi…
Towards A Reliable Ground-Truth For Biased Language Detection
Timo Spinde, David Krieger, Manuel Plank +1
Reference texts such as encyclopedias and news articles can manifest biased language when objective reporting is substituted by subjective writing. Existing methods to detect bias…
Do You Think It's Biased? How To Ask For The Perception Of Media Bias
Timo Spinde, Christina Kreuter, Wolfgang Gaissmaier +3
Media coverage possesses a substantial effect on the public perception of events. The way media frames events can significantly alter the beliefs and perceptions of our society. Ne…
TASSY -- A Text Annotation Survey System
Timo Spinde, Kanishka Sinha, Norman Meuschke +1
We present a free and open-source tool for creating web-based surveys that include text annotation tasks. Existing tools offer either text annotation or survey functionality but no…