5 papers · 1 filter
The Table of Media Bias Elements: A sentence-level taxonomy of media bias types and propaganda techniques
Tim Menzner, Jochen L. Leidner
Public debates about "left-" or "right-wing" news overlook the fact that bias is usually conveyed by concrete linguistic manoeuvres that transcend any single political spectrum. We…
Improved Models for Media Bias Detection and Subcategorization
Tim Menzner, Jochen L. Leidner
We present improved models for the granular detection and sub-classification news media bias in English news articles. We compare the performance of zero-shot versus fine-tuned lar…
BiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy
Tim Menzner, Jochen L. Leidner
The increasing consumption of news online in the 21st century coincided with increased publication of disinformation, biased reporting, hate speech and other unwanted Web content.…
Experiments in News Bias Detection with Pre-Trained Neural Transformers
Tim Menzner, Jochen L. Leidner
The World Wide Web provides unrivalled access to information globally, including factual news reporting and commentary. However, state actors and commercial players increasingly sp…
Challenges and Opportunities of NLP for HR Applications: A Discussion Paper
Jochen L. Leidner, Mark Stevenson
Over the course of the recent decade, tremendous progress has been made in the areas of machine learning and natural language processing, which opened up vast areas of potential ap…