Projektlogo

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

Principal Investigators

contact-box image

Prof. Dr. Axel-Cyrille Ngonga Ngomo

Transregional Collaborative Research Centre 318

About the person

Project Team

contact-box image

Dr. Michael R?der

Data Science / Heinz Nixdorf Institute

About the person
contact-box image

Ana Morim da Silva

Data Science / Heinz Nixdorf Institute

About the person

Cooperating Institutions

Technische Universit?t Darmstadt (TUDA)

Cooperating Institution

Go to website

PEASEC – Science and Technology for Peace and Security

Cooperating Institution

Go to website

Wirtschaftsinformatik und Neue Medien der Universit?t 365体育_足球比分网¥投注直播官网gen

Cooperating Institution

Go to website

NanoGiants GmbH

Cooperating Institution

Go to website

Hochschule Bonn-Rhein-365体育_足球比分网¥投注直播官网g (H-BRS)

Cooperating Institution

Go to website

Publications

ExPrompt: Augmenting Prompts Using Examples as Modern Baseline for Stance Classification
U. Qudus, M. R?der, D. Vollmers, A.-C. Ngonga Ngomo, in: Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, ACM, 2024, pp. 3994–3999.
Show all publications