Distinguishing cartoon subgenres based on a multicultural contemporary corpus

Autores
Pedrazzini, Ana Mercedes; Scheuer, Nora
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
A literature review reveals the lack of empirical and theoretical work dedicated to systematically grasping the diversity of cartoons. Most studies have focused on political and/or editorial cartoons and have neglected other subgenres, which however are gaining space in many media -such as gag cartoons. Taking genre discursive studies as a starting point, this paper is aimed at distinguishing cartoon subgenres considering their modal, thematic, pragmatic and rhetorical features. The corpus is composed of 85 cartoons (51 multimodal and 34 solely visual) from 22 countries. This corpus was obtained by means of a questionnaire distributed over 2012-2016 in which cartoonists were asked to choose a cartoon that represented their style and to justify their choice. A combination of both qualitative and multivariate statistical techniques was applied. Results allowed us to distinguish four cartoon subgenres based mostly on thematic and pragmatic features: Daily political; Timeless political; Daily media, arts and sports; and Playful cartoons. From a rhetorical standpoint, Timeless political cartoons showed the highest semiotic density (8-12 resources per cartoon), Daily political cartoons an intermediate density (5-7 resources per cartoon) and Playful cartoons the lowest semiotic density (2-4 resources). This contrast might indicate a difference in the cognitive challenge posed to readers, with a major cognitive effort demanded by political cartoons (Timeless and Daily), in addition to the necessary awareness of current affairs. In line with previous research, metaphor appeared as a characteristic resource in political cartoons followed by irony, sarcasm and allusion. Modal analyses showed that political cartoons relied more on the verbal mode to build their messages than the other subgenres.
Fil: Pedrazzini, Ana Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub | Universidad Nacional del Comahue. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub; Argentina
Fil: Scheuer, Nora. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub | Universidad Nacional del Comahue. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub; Argentina
Materia
CARTOON
GENRE
TOPIC
RHETORICAL RESOURCE
PRAGMATICS
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/112305
Acceder
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spelling Distinguishing cartoon subgenres based on a multicultural contemporary corpusPedrazzini, Ana MercedesScheuer, NoraCARTOONGENRETOPICRHETORICAL RESOURCEPRAGMATICShttps://purl.org/becyt/ford/5.8https://purl.org/becyt/ford/5A literature review reveals the lack of empirical and theoretical work dedicated to systematically grasping the diversity of cartoons. Most studies have focused on political and/or editorial cartoons and have neglected other subgenres, which however are gaining space in many media -such as gag cartoons. Taking genre discursive studies as a starting point, this paper is aimed at distinguishing cartoon subgenres considering their modal, thematic, pragmatic and rhetorical features. The corpus is composed of 85 cartoons (51 multimodal and 34 solely visual) from 22 countries. This corpus was obtained by means of a questionnaire distributed over 2012-2016 in which cartoonists were asked to choose a cartoon that represented their style and to justify their choice. A combination of both qualitative and multivariate statistical techniques was applied. Results allowed us to distinguish four cartoon subgenres based mostly on thematic and pragmatic features: Daily political; Timeless political; Daily media, arts and sports; and Playful cartoons. From a rhetorical standpoint, Timeless political cartoons showed the highest semiotic density (8-12 resources per cartoon), Daily political cartoons an intermediate density (5-7 resources per cartoon) and Playful cartoons the lowest semiotic density (2-4 resources). This contrast might indicate a difference in the cognitive challenge posed to readers, with a major cognitive effort demanded by political cartoons (Timeless and Daily), in addition to the necessary awareness of current affairs. In line with previous research, metaphor appeared as a characteristic resource in political cartoons followed by irony, sarcasm and allusion. Modal analyses showed that political cartoons relied more on the verbal mode to build their messages than the other subgenres.Fil: Pedrazzini, Ana Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub | Universidad Nacional del Comahue. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub; ArgentinaFil: Scheuer, Nora. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub | Universidad Nacional del Comahue. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub; ArgentinaInternational Society for Humor Studies2018-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/112305Pedrazzini, Ana Mercedes; Scheuer, Nora; Distinguishing cartoon subgenres based on a multicultural contemporary corpus; International Society for Humor Studies; European Journal of Humour Research; 6; 1; 6-2018; 100-1232307-700XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://europeanjournalofhumour.org/index.php/ejhr/article/view/233info:eu-repo/semantics/altIdentifier/doi/10.7592/EJHR2018.6.1.pedrazziniinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:40:15Zoai:ri.conicet.gov.ar:11336/112305instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 09:40:15.915CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Distinguishing cartoon subgenres based on a multicultural contemporary corpus
title Distinguishing cartoon subgenres based on a multicultural contemporary corpus
spellingShingle Distinguishing cartoon subgenres based on a multicultural contemporary corpus
Pedrazzini, Ana Mercedes
CARTOON
GENRE
TOPIC
RHETORICAL RESOURCE
PRAGMATICS
title_short Distinguishing cartoon subgenres based on a multicultural contemporary corpus
title_full Distinguishing cartoon subgenres based on a multicultural contemporary corpus
title_fullStr Distinguishing cartoon subgenres based on a multicultural contemporary corpus
title_full_unstemmed Distinguishing cartoon subgenres based on a multicultural contemporary corpus
title_sort Distinguishing cartoon subgenres based on a multicultural contemporary corpus
dc.creator.none.fl_str_mv Pedrazzini, Ana Mercedes
Scheuer, Nora
author Pedrazzini, Ana Mercedes
author_facet Pedrazzini, Ana Mercedes
Scheuer, Nora
author_role author
author2 Scheuer, Nora
author2_role author
dc.subject.none.fl_str_mv CARTOON
GENRE
TOPIC
RHETORICAL RESOURCE
PRAGMATICS
topic CARTOON
GENRE
TOPIC
RHETORICAL RESOURCE
PRAGMATICS
purl_subject.fl_str_mv https://purl.org/becyt/ford/5.8
https://purl.org/becyt/ford/5
dc.description.none.fl_txt_mv A literature review reveals the lack of empirical and theoretical work dedicated to systematically grasping the diversity of cartoons. Most studies have focused on political and/or editorial cartoons and have neglected other subgenres, which however are gaining space in many media -such as gag cartoons. Taking genre discursive studies as a starting point, this paper is aimed at distinguishing cartoon subgenres considering their modal, thematic, pragmatic and rhetorical features. The corpus is composed of 85 cartoons (51 multimodal and 34 solely visual) from 22 countries. This corpus was obtained by means of a questionnaire distributed over 2012-2016 in which cartoonists were asked to choose a cartoon that represented their style and to justify their choice. A combination of both qualitative and multivariate statistical techniques was applied. Results allowed us to distinguish four cartoon subgenres based mostly on thematic and pragmatic features: Daily political; Timeless political; Daily media, arts and sports; and Playful cartoons. From a rhetorical standpoint, Timeless political cartoons showed the highest semiotic density (8-12 resources per cartoon), Daily political cartoons an intermediate density (5-7 resources per cartoon) and Playful cartoons the lowest semiotic density (2-4 resources). This contrast might indicate a difference in the cognitive challenge posed to readers, with a major cognitive effort demanded by political cartoons (Timeless and Daily), in addition to the necessary awareness of current affairs. In line with previous research, metaphor appeared as a characteristic resource in political cartoons followed by irony, sarcasm and allusion. Modal analyses showed that political cartoons relied more on the verbal mode to build their messages than the other subgenres.
Fil: Pedrazzini, Ana Mercedes. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub | Universidad Nacional del Comahue. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub; Argentina
Fil: Scheuer, Nora. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Patagonia Norte. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub | Universidad Nacional del Comahue. Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales. Grupo Vinculado del Instituto Patagónico de Estudios de Humanidades y Ciencias Sociales (IPEHCS): Sede Crub; Argentina
description A literature review reveals the lack of empirical and theoretical work dedicated to systematically grasping the diversity of cartoons. Most studies have focused on political and/or editorial cartoons and have neglected other subgenres, which however are gaining space in many media -such as gag cartoons. Taking genre discursive studies as a starting point, this paper is aimed at distinguishing cartoon subgenres considering their modal, thematic, pragmatic and rhetorical features. The corpus is composed of 85 cartoons (51 multimodal and 34 solely visual) from 22 countries. This corpus was obtained by means of a questionnaire distributed over 2012-2016 in which cartoonists were asked to choose a cartoon that represented their style and to justify their choice. A combination of both qualitative and multivariate statistical techniques was applied. Results allowed us to distinguish four cartoon subgenres based mostly on thematic and pragmatic features: Daily political; Timeless political; Daily media, arts and sports; and Playful cartoons. From a rhetorical standpoint, Timeless political cartoons showed the highest semiotic density (8-12 resources per cartoon), Daily political cartoons an intermediate density (5-7 resources per cartoon) and Playful cartoons the lowest semiotic density (2-4 resources). This contrast might indicate a difference in the cognitive challenge posed to readers, with a major cognitive effort demanded by political cartoons (Timeless and Daily), in addition to the necessary awareness of current affairs. In line with previous research, metaphor appeared as a characteristic resource in political cartoons followed by irony, sarcasm and allusion. Modal analyses showed that political cartoons relied more on the verbal mode to build their messages than the other subgenres.
publishDate 2018
dc.date.none.fl_str_mv 2018-06
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/112305
Pedrazzini, Ana Mercedes; Scheuer, Nora; Distinguishing cartoon subgenres based on a multicultural contemporary corpus; International Society for Humor Studies; European Journal of Humour Research; 6; 1; 6-2018; 100-123
2307-700X
CONICET Digital
CONICET
url http://hdl.handle.net/11336/112305
identifier_str_mv Pedrazzini, Ana Mercedes; Scheuer, Nora; Distinguishing cartoon subgenres based on a multicultural contemporary corpus; International Society for Humor Studies; European Journal of Humour Research; 6; 1; 6-2018; 100-123
2307-700X
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/https://europeanjournalofhumour.org/index.php/ejhr/article/view/233
info:eu-repo/semantics/altIdentifier/doi/10.7592/EJHR2018.6.1.pedrazzini
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv International Society for Humor Studies
publisher.none.fl_str_mv International Society for Humor Studies
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.070432

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