# "With 1 follower I must be AWESOME :P". Exploring the role of irony markers in irony recognition

arXiv: https://arxiv.org/abs/1804.05253 · HTML: https://mlsanity.com/paper/1804.05253/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 14 Apr 2018.

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

- [Figurative Language in Recognizing Textual Entailment](https://mlsanity.com/paper/2106.01195/) (2021)
- [A Survey in Automatic Irony Processing: Linguistic, Cognitive, and Multi-X Perspectives](https://mlsanity.com/paper/2209.04712/) (2022)
- ["Laughing at you or with you": The Role of Sarcasm in Shaping the Disagreement Space](https://mlsanity.com/paper/2101.10952/) (2021)
- [X-PuDu at SemEval-2022 Task 6: Multilingual Learning for English and Arabic Sarcasm Detection](https://mlsanity.com/paper/2211.16883/) (2022)

## Abstract (arXiv)

Conversations in social media often contain the use of irony or sarcasm, when the users say the opposite of what they really mean. Irony markers are the meta-communicative clues that inform the reader that an utterance is ironic. We propose a thorough analysis of theoretically grounded irony markers in two social media platforms: Twitter and Reddit. Classification and frequency analysis show that for Twitter, typographic markers such as emoticons and emojis are the most discriminative markers to recognize ironic utterances, while for Reddit the morphological markers (e.g., interjections, tag questions) are the most discriminative.