About the project

Project Goal

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.

Staff

Ana Alexandra Morim da Silva Farshad Afshari Michael Röder Umair Qudus

Partners

PEASEC – Science and Technology for Peace and Security Wirtschaftsinformatik und Neue Medien der Universität Siegen Paderborn University NanoGiants GmbH

Publications

Fact Checking Knowledge Graphs - A Survey

By Umair Qudus, Michael Röder, Muhammad Saleem, Axel-Cyrille Ngonga Ngomo

ACM Comput. Surv., 2025, #article

FaVEL: Fact Validation Ensemble Learning

By Umair Qudus, Franck Lionel Tatkeu Pekarou, Ana Alexandra Morim da Silva, Michael Röder, Axel-Cyrille Ngonga Ngomo

Knowledge Engineering and Knowledge Management - 24th International Conference, EKAW 2024, Amsterdam, The Netherlands, November 26-28, 2024, Proceedings, 2024, #inproceedings

ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification

By Umair Qudus, Michael Röder, Daniel Vollmers, Axel-Cyrille Ngonga Ngomo

Conference on Information and Knowledge Management -- CIKM 2024, 2024, #inproceedings

TEMPORALFC: A Temporal Fact Checking approach over Knowledge Graphs

By Umair Qudus, Michael Röder, Sabrina Kirrane, Axel-Cyrille Ngonga Ngomo

The Semantic Web -- ISWC 2023, 2023, #inproceedings