File(s) under embargo

Reason: Publisher requirement. Embargo will be amended following publication

9

year(s)

2

month(s)

17

day(s)

until file(s) become available

Are you having a laugh? Detecting humorous expressions on social media: An exploration of theory, current approaches and future work

journal contribution
posted on 23.10.2020, 10:58 by Suzanne Elayan, Martin Sykora, Tom 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

Publisher

Inderscience

Version

AM (Accepted Manuscript)

Publisher statement

This paper was accepted for publication in the journal International Journal of Information Technology and Management and the definitive published version is available at

Acceptance date

31/03/2020

ISSN

1461-4111

eISSN

1741-5179

Language

en

Depositor

Dr Martin Sykora Deposit date: 22 October 2020