Satire Detection

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

No benchmark for this task in the archive.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

3 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

4 shown of 4 papers with code (13 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• Make Satire Boring Again: Reducing Stylistic Bias of Satirical Corpus by Utilizing Generative LLMs
  12 Dec 2024 1 repository listed
  Results show that the debiasing method enhances the robustness and generalizability of the models for satire and irony detection tasks in Turkish and English.
• SaRoCo: Detecting Satire in a Novel Romanian Corpus of News Articles
  13 May 2021 1 repository listed
  In this work, we introduce a corpus for satire detection in Romanian news.
• FreSaDa: A French Satire Data Set for Cross-Domain Satire Detection
  10 Apr 2021 1 repository listed
  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).
• A Multi-Modal Method for Satire Detection using Textual and Visual Cues
  13 Oct 2020 1 repository listed
  Satire is a form of humorous critique, but it is sometimes misinterpreted by readers as legitimate news, which can lead to harmful consequences.