The humor transaction schema: a conceptual framework for researching the nature and effects of humor

Abstract: This article presents a schema describing the ‘humor transaction,’ that is, the processes by which what is generally called humor is created, communicated, experienced, responded to and used. It describes in three stages the rich creative process shared between a humorist and an audience. This starts with the perception and/or formation of an amusing stimulus by a humorist and passes in a second stage to its communication by the humorist to others and their processing of the stimulus. The third stage captures the range of experiences and responses by the recipient/s, including personal consequences and possible re-use of the humor (which creates further functions and consequences). Although experiencing and using humor are both holistic processes, dependent on synchronization of social behaviors by humorist and recipient, the schema simplifies in order to summarize the general outline of a typical shared humorous ‘transaction’ while allowing for complex detail within each stage. It offers a framework within which scholars and practitioners can locate their different foci of research and application. It aims to assist in developing a shared vocabulary of concepts and terminology to foster exchange across the many disciplines involved in humor research. It provides a linked glossary of relevant terms designed to facilitate interdisciplinary exchange in studying humor.

Location
Deutsche Nationalbibliothek Frankfurt am Main
Extent
Online-Ressource
Language
Englisch

Bibliographic citation
The humor transaction schema: a conceptual framework for researching the nature and effects of humor ; volume:36 ; number:2 ; year:2023 ; pages:323-353 ; extent:031
Humor ; 36, Heft 2 (2023), 323-353 (gesamt 031)

Creator
Davis, Jessica Milner
Hofmann, Jennifer

DOI
10.1515/humor-2020-0143
URN
urn:nbn:de:101:1-2023041914195000853541
Rights
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
Last update
14.08.2025, 10:50 AM CEST

Data provider

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Associated

  • Davis, Jessica Milner
  • Hofmann, Jennifer

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