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Media Image Landscape: Age Representation in Online Images

This study looked at the extent to which the 50-plus population is portrayed in media images online. A random sample of images was drawn from 2.7 million images downloaded from professional and semiprofessional domains and social distributions for brands and thought leaders. Natural language process...

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Autores principales: Thayer, Colette, Skufca, Laura
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740360/
http://dx.doi.org/10.1093/geroni/igaa057.332
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author Thayer, Colette
Skufca, Laura
author_facet Thayer, Colette
Skufca, Laura
author_sort Thayer, Colette
collection PubMed
description This study looked at the extent to which the 50-plus population is portrayed in media images online. A random sample of images was drawn from 2.7 million images downloaded from professional and semiprofessional domains and social distributions for brands and thought leaders. Natural language processing technology was employed to find images using topical guides chosen to be reflective of online images. Results of this study showed that while some media has moved toward more positive visual representation of older people, the 50-plus population is still not accurately portrayed in the media. For example, while nearly half of the U.S. adult population is age 50-plus, only 15% of images containing adults include people this age. In addition, when the 50-plus are shown, they are more likely to be portrayed negatively than those under age 50. The 50-plus population is often portrayed as dependent and disconnected from the rest of world although most are actively engaged in their communities. They are rarely shown with technology and in work settings. Furthermore, while a myriad of vibrant personalities come across in images of adults under age 50, the representation of people 50-plus starts to homogenize and exaggerate stereotypical and outdated physical appearance characteristics. This study demonstrates the need for visual representations that reflect greater diversity and authenticity of the 50-plus population as these images affect the attitudes, expectations, and behaviors of older and younger people alike. Keywords: ageism, reframing aging, media image representation
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spelling pubmed-77403602020-12-21 Media Image Landscape: Age Representation in Online Images Thayer, Colette Skufca, Laura Innov Aging Abstracts This study looked at the extent to which the 50-plus population is portrayed in media images online. A random sample of images was drawn from 2.7 million images downloaded from professional and semiprofessional domains and social distributions for brands and thought leaders. Natural language processing technology was employed to find images using topical guides chosen to be reflective of online images. Results of this study showed that while some media has moved toward more positive visual representation of older people, the 50-plus population is still not accurately portrayed in the media. For example, while nearly half of the U.S. adult population is age 50-plus, only 15% of images containing adults include people this age. In addition, when the 50-plus are shown, they are more likely to be portrayed negatively than those under age 50. The 50-plus population is often portrayed as dependent and disconnected from the rest of world although most are actively engaged in their communities. They are rarely shown with technology and in work settings. Furthermore, while a myriad of vibrant personalities come across in images of adults under age 50, the representation of people 50-plus starts to homogenize and exaggerate stereotypical and outdated physical appearance characteristics. This study demonstrates the need for visual representations that reflect greater diversity and authenticity of the 50-plus population as these images affect the attitudes, expectations, and behaviors of older and younger people alike. Keywords: ageism, reframing aging, media image representation Oxford University Press 2020-12-16 /pmc/articles/PMC7740360/ http://dx.doi.org/10.1093/geroni/igaa057.332 Text en © The Author(s) 2020. Published by Oxford University Press on behalf of The Gerontological Society of America. http://creativecommons.org/licenses/by/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Abstracts
Thayer, Colette
Skufca, Laura
Media Image Landscape: Age Representation in Online Images
title Media Image Landscape: Age Representation in Online Images
title_full Media Image Landscape: Age Representation in Online Images
title_fullStr Media Image Landscape: Age Representation in Online Images
title_full_unstemmed Media Image Landscape: Age Representation in Online Images
title_short Media Image Landscape: Age Representation in Online Images
title_sort media image landscape: age representation in online images
topic Abstracts
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7740360/
http://dx.doi.org/10.1093/geroni/igaa057.332
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