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Fitspiration on Instagram: Identifying Topic Clusters in User Comments to Posts with Objectification Features.
Murashka, Volha; Liu, Jiaying; Peng, Yilang.
Afiliación
  • Murashka V; Department of Communication Studies, University of Georgia, Athens.
  • Liu J; Department of Communication Studies, University of Georgia, Athens.
  • Peng Y; Department of Financial Planning, Housing and Consumer Economics, University of Georgia, Athens.
Health Commun ; 36(12): 1537-1548, 2021 11.
Article en En | MEDLINE | ID: mdl-32543921
ABSTRACT
This study aimed to examine features of objectified images in popular fitspiration accounts on social media, identify the most prevalent user discussion topics about these images, and investigate the linkages between specific objectification cues and discussion topics. We employed content analysis to identify gender-specific objectification elements in fitspiration images (N = 2,000) on Instagram and unsupervised topic modeling to uncover topics in user comments (N = 35,263). Multilevel regressions were conducted to examine how gender and objectification features associate with the topics. Results revealed that one-third of the images were objectified. Objectification features such as sexual posing and the presence of objectified chest or abdomen were associated with the occurrence of two out of the three most prominent topic clusters (inspiration, body, and image-related discussions). We concluded that objectified fitspiration may distract users from health goals.
Asunto(s)

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen Corporal / Medios de Comunicación Sociales Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Imagen Corporal / Medios de Comunicación Sociales Límite: Humans Idioma: En Año: 2021 Tipo del documento: Article