# Is This a Joke? Detecting Humor in Spanish Tweets

arXiv: https://arxiv.org/abs/1703.09527 · HTML: https://mlsanity.com/paper/1703.09527/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 28 Mar 2017.

## Built on by (most cited first, 4 of 4)

- [Prompt to GPT-3: Step-by-Step Thinking Instructions for Humor Generation](https://mlsanity.com/paper/2306.13195/) (2023)
- [MagicPai at SemEval-2021 Task 7: Method for Detecting and Rating Humor Based on Multi-Task Adversarial Training](https://mlsanity.com/paper/2104.10336/) (2021)
- [POLygraph: Polish Fake News Dataset](https://mlsanity.com/paper/2407.01393/) (2024)
- [Decoders Laugh as Loud as Encoders](https://mlsanity.com/paper/2509.04779/) (2025)

## Abstract (arXiv)

While humor has been historically studied from a psychological, cognitive and linguistic standpoint, its study from a computational perspective is an area yet to be explored in Computational Linguistics. There exist some previous works, but a characterization of humor that allows its automatic recognition and generation is far from being specified. In this work we build a crowdsourced corpus of labeled tweets, annotated according to its humor value, letting the annotators subjectively decide which are humorous. A humor classifier for Spanish tweets is assembled based on supervised learning, reaching a precision of 84% and a recall of 69%.