most citedBiasScanner: Automatic Detection and Classification of News Bias to Strengthen Democracy

1 citations · 1 across the 2 of their papers we have counts for

collaborators

5 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

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.CL20241 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

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…