DeFaBel: A Corpus of Belief-based Deception

Corpus

Aswathy Velutharambath, Amelie Wührl, Roman Klinger

A German deception dataset containing 1031 argumentative texts collected via crowd-sourcing. Each instance is labelled as deceptive or non-deceptive.

(1) Aswathy Velutharambath, Amelie Wührl and Roman Klinger. Can Factual Statements be Deceptive? The DeFaBel Corpus of Belief-based Deception. The Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING). 2024

@InProceedings{velutharambath_wuehrl_klinger_2024a,
  author    = {Velutharambath, Aswathy and Wuehrl, Amelie  and  Klinger, Roman},
  title     = {Can Factual Statements be Deceptive? The DefaBel Corpus of Belief-based Deception},
  booktitle      = {Proceedings of The Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING)},
  month          = {May},
  year           = {2024},
  address        = {Torino, Italy},
  publisher      = {European Language Resources Association}
}

(2) Aswathy Velutharambath, Amelie Wührl and Roman Klinger. How Entangled is Factuality and Deception in German?. In Findings of the Association for Computational Linguistics: EMNLP 2024, Miami. Association for Computational Linguistics.

@InProceedings{velutharambath_wuehrl_klinger_2024b,
  author    = {Velutharambath, Aswathy and Wuehrl, Amelie  and  Klinger, Roman},
  title     = {How Entangled is Factuality and Deception in German?},   
  booktitle      = {Findings of the Association for Computational Linguistics: EMNLP 2024},
  month          = {November},
  year           = {2024},
  address        = {Miami, Florida},
  publisher      = {Association for Computational Linguistics},
}

Dataset: DeFaBel Corpus of Belief-based Deception

The code used for conducting modelling experiments on the dataset can be found in this repository