Published October 15, 2024
| Version 1.0
Dataset
Open
FALCON (Fallacies in COVID-19 Network-based)
-
1.
Centre National de la Recherche Scientifique
-
2.
Université Côte d'Azur
- 3. CNRS Délégation Côte d'Azur
Description
FALCON is a multi-label, graph-based dataset containing COVID-19-related tweets.
This dataset includes expert annotations for six fallacy types—loaded language, appeal to fear, appeal to ridicule, hasty generalization, ad hominem, and false dilemma—and allows for the detection of multiple fallacies in a single tweet.
The dataset's graph structure enables analysis of the relationships between fallacies and their progression in conversations.
Files
df_test.csv
Files
(41.2 MB)
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Additional details
Related works
- Is described by
- Conference proceeding: 10.1145/3672608.3707913 (DOI)
- Is supplement to
- Other: https://github.com/m-chaves/falcon-fallacy-classification (URL)
Software
- Repository URL
- https://github.com/m-chaves/falcon-fallacy-classification