UNIDECOR

Corpus

Aswathy Velutharambath, Roman Klinger

UNIDECOR is a unified corpus consolidating publicly available textual deception datasets into a common format.

Aswathy Velutharambath and Roman Klinger. UNIDECOR: A unified deception corpus for cross-corpus deception detection. In Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis, Toronto, Canada, May 2023. Association for Computational Linguistics. [paper]

Citation:

@inproceedings{Velutharambath2023,
  title = {{UNIDECOR}: A Unified Deception Corpus for Cross-Corpus Deception Detection},
  author = {Aswathy Velutharambath and Roman Klinger},
  booktitle = {Proceedings of the 13th Workshop on Computational Approaches to Subjectivity, Sentiment {\&} Social Media Analysis},
  month = may,
  year = {2023},
  address = {Toronto, Canada},
  publisher = {Association for Computational Linguistics},
}

The complete code for downloading and consolidating the datasets is available at Unified Deception Corpus (UniDecor).

UPDATE:

• UniDeCor_V1.0 contains the datasets published along with the paper
• UniDeCor_V1.1 (current branch) contains 2 new datasets (HIPPOCORPUS and INTENTION).