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‘Are you having a laugh?’: detecting humorous expressions on social media: an exploration of theory, current approaches and future work

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journal contribution
posted on 21.12.2021, 08:53 by Suzanne ElayanSuzanne Elayan, Martin SykoraMartin Sykora, Tom JacksonTom Jackson, Ejovwoke Onojeharho
The role of humorous content on social media has rarely been taken into account in prior work. Understanding its dynamics on social media provides insight that could benefit a range of applications in sentiment analysis. This paper introduces literature on humour theory, related human behaviour and a discussion of existing automated approaches to humour detection. We present and review current research on humorous language use on social media and its significance. In particular, example humorous expressions from Twitter are used to illustrate the heterogeneous types of humour on social media. Since most prior work focused on English language contexts, the analysed example uses of humour are set in the Arabic cultural context, providing a novel view. The primary contribution of this paper is the position that similar to sentiment analysis, automated humour detection in its own right has potential in understanding public reactions and should be explored in future studies.

History

School

  • Business and Economics

Department

  • Business

Published in

International Journal of Information Technology and Management

Volume

21

Issue

1

Pages

115 - 137

Publisher

Inderscience

Version

VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access Article. It is published by Inderscience under the Creative Commons Attribution-Non Commercial-No Derivatives 4.0 International (CC BY-NC-ND 4.0). Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Acceptance date

31/03/2020

Publication date

2022-03-04

Copyright date

2021

ISSN

1461-4111

eISSN

1741-5179

Language

en

Depositor

Dr Martin Sykora Deposit date: 22 October 2020