Humor styles influence the perception of depression-related internet memes in depression
Abstract: Previous research highlights the potential benefits of engaging with depressive Internet memes for those experiencing symptoms of depression, a phenomenon that can be explained by the humorous interpretation of depressive stimuli and perceived social support through symptom normalization. We examined whether individuals experiencing depressive symptoms would differ from controls in their interpretation of Internet memes related to depression, whilst incorporating the mediating role of humor style. N=78 individuals with self-reported depressive symptoms (≥24 on CES-D) and 67 controls (≤23) rated the emotional valance, humor, relatability, shareability, and mood-improving potential of 32 depressive and control memes (depicting neutral/positive social commentaries). Measures of depression and humor style were also completed. Perceived humor, relatability, shareability and mood-improving potential of depressive, but not control, memes were greater amongst individuals displaying depressive symptoms. However, differential ratings of humor, shareability and relatability were mediated by the extent of ones self-defeating humor style. These outcomes further evidence benefits of interacting with depression-related Internet memes for those with depression.
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Humor styles influence the perception of depression-related internet memes in depression ; volume:34 ; number:4 ; year:2021 ; pages:497-517 ; extent:21
Humor ; 34, Heft 4 (2021), 497-517 (gesamt 21)
- Creator
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Gardner, Kathryn J.
Jabs, Nicola-Maria
Drabble, Jennifer
Akram, Umair
- DOI
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10.1515/humor-2021-0045
- URN
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urn:nbn:de:101:1-2022101714053424065941
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
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15.08.2025, 7:26 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Gardner, Kathryn J.
- Jabs, Nicola-Maria
- Drabble, Jennifer
- Akram, Umair