No laughing matter: visual humor in ideas of race, nationality, and ethnicity

Rosenthal, Angela; Bindman, David; Randolph, Adrian W. B.

doi:10.5860/choice.196735

Choice Reviews Online

2016

DOI: 10.5860/choice.196735

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No laughing matter: visual humor in ideas of race, nationality, and ethnicity

Angela Rosenthal

David Bindman

Adrian W. B. Randolph³

Abstract: arlisna.org/arlisna-reviews The latest in art publishing, reviewed by art information professionals and published on a bimonthly basis.

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Crossing the Line: Where do Demographic Variables Fit into Humor Detection?

Meaney¹

2020

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

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Recent shared tasks in humor classification have struggled with two issues: scope and subjectivity. Regarding scope, many task datasets either comprise a highly constrained genre of humor which does not broadly represent the genre, or the data collection is so indiscriminate that the inter-annotator agreement on its comic content is drastically low. In terms of subjectivity, these tasks typically average over all annotators' judgments, in spite of the fact that humor is highly subjective and varies both between and within cultures. We propose a dataset which maintains a broad scope but which addresses subjectivity. We will collect demographic information about the data's humor annotators in order to bin ratings more sensibly. We also suggest the addition of an 'offensive' label to reflect the fact a text may be humorous to one group, but offensive to another. This would allow for more meaningful shared tasks and could lead to better performance on downstream applications, such as content moderation.

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Crossing the Line: Where do Demographic Variables Fit into Humor Detection?

Meaney¹

2020

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop

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show abstract

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No laughing matter: visual humor in ideas of race, nationality, and ethnicity

Abstract: arlisna.org/arlisna-reviews The latest in art publishing, reviewed by art information professionals and published on a bimonthly basis.

Cited by 1 publication

References 0 publications

Crossing the Line: Where do Demographic Variables Fit into Humor Detection?

Crossing the Line: Where do Demographic Variables Fit into Humor Detection?

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