Satire Detection
3 papers with code • 0 benchmarks • 2 datasets
Satire detection consists in detecting when a text is written in a satirical tone and its content shouldn't be interpreted literally.
Benchmarks
These leaderboards are used to track progress in Satire Detection
Most implemented papers
A Multi-Modal Method for Satire Detection using Textual and Visual Cues
Satire is a form of humorous critique, but it is sometimes misinterpreted by readers as legitimate news, which can lead to harmful consequences.
FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection
We employ two classification methods as baselines for our new data set, one based on low-level features (character n-grams) and one based on high-level features (average of CamemBERT word embeddings).
SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
In this work, we introduce a corpus for satire detection in Romanian news.