NEBULA: Nutzerzentrierte KI-basierte Erkennung von Fake-News und Fehlinformationen
Overview
The goal of this interdisciplinary project is the transparent, AI-based detection of Fake News and false information in security-relevant situations and a presentation of the detection results that is suitable for the target audience and boosts the audiences media literacy.
Funding program
This work is supported by the German Federal Ministry of Education and Research (BMBF) under the grant no 13N16364.
Key Facts
- Grant Number:
- 13N16364
- Project duration:
- 07/2022 - 06/2025
- Funded by:
- BMBF
- Websites:
-
Homepage
Projektseite DICE
More Information
Publications
ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification
U. Qudus, M. Röder, D. Vollmers, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, 2024, pp. 3994–3999.
FaVEL: Fact Validation Ensemble Learning
Show all publications
U. Qudus, M. Röder, F.L. Tatkeu Pekarou, A.A. Morim da Silva, A.-C. Ngonga Ngomo, in: M. Rospocher, Mehwish Alam (Eds.), EKAW 2024, 2024.