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NEBULA: Nutzerzentrierte KI-basierte Erkennung von Fake-News und Fehlinformationen

Key Facts

Grant Number:
13N16364
Project duration:
07/2022 - 06/2025
Funded by:
BMBF
Websites:
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Projektseite DICE

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Principal Investigators

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Prof. Dr. Axel-Cyrille Ngonga Ngomo

Transregional Collaborative Research Centre 318

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Project Team

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Dr. Michael Röder

Data Science / Heinz Nixdorf Institute

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Ana Morim da Silva

Data Science / Heinz Nixdorf Institute

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Cooperating Institutions

Technische Universität Darmstadt (TUDA)

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PEASEC – Science and Technology for Peace and Security

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Wirtschaftsinformatik und Neue Medien der Universität Siegen

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NanoGiants GmbH

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Hochschule Bonn-Rhein-Sieg (H-BRS)

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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
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.
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