activity
20022026
most citedExperiments in News Bias Detection with Pre-Trained Neural Transformers

6 citations · 15 across the 13 of their papers we have counts for

collaborators

14 papers

cs.CL2026

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…

cs.CL2024★ 4 cited

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…

cs.CL2024★ 1 cited

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.…

cs.CL2024★ 6 cited

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…

cs.CV2024

Which Country Is This? Automatic Country Ranking of Street View Photos

Tim Menzner, Jochen L. Leidner, Florian Mittag

In this demonstration, we present Country Guesser, a live system that guesses the country that a photo is taken in. In particular, given a Google Street View image, our federated r…

cs.CL2024★ 1 cited

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…