Multimodal markers of irony and sarcasm

By Salvatore Attardo, Jodi Eisterhold, J. Hay, Isabella Poggi. 2003

348 citations recorded by the source corpus.

Subfields: Communication, Experimental and Cognitive Psychology, Language and Linguistics

View Paper: https://www.semanticscholar.org/paper/9f25d05f940357f309df65c0acd4ddd006ca08ba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Communication

1. Rada Mihalcea
2. Nancy Bell

In Experimental and Cognitive Psychology

1. Rada Mihalcea
2. Soujanya Poria
3. Devamanyu Hazarika
4. Roger Zimmermann
5. Verónica Pérez-Rosas
6. Nancy Bell
7. Santiago Castro
8. Gregory A. Bryant

In Language and Linguistics

1. Rada Mihalcea
2. Nancy Bell
3. Soujanya Poria
4. Gregory A. Bryant
5. Devamanyu Hazarika
6. Sadiq Abdulwahed Ahmed Ismail
7. Zeki Arsal

Citations in the corpus

• Towards Multimodal Sarcasm Detection (An _Obviously_ Perfect Paper) (2019, methodology): “To enable the exploration of multimodal sarcasm detection, we introduce a new dataset (MUStARD) consisting of short videos manually annotated for their sarcasm property.”
• Verbal Irony (2012, background): “For instance, in speech, irony is often signaled with a change in the tone of voice (see Hancock, 2004) or with air quotes (Attardo et al., 2003).”
• Prosodic Contrasts in Ironic Speech (2010, background): “Previous research has shown that listeners use multiple sources of information to recognize ironic speech (Attardo et al., 2003; Bryant & Fox Tree, 2002).”
• Learning about and through humor in the second language classroom (2009, background): “The cues that signal it are multiple and vary according to context and to type of humor (cf. Attardo et al., 2003).”