Fat stigma and body objectification: A text analysis approach using social media content

About this item

Title

Fat stigma and body objectification: A text analysis approach using social media content

Content partner

Massey University

Collection

Massey Research Online

Description

This study investigates how female and male genders are positioned in fat stigmatising discourses that are being conducted over social media. Weight-based linguistic data corpus, extracted from three popular social media (SM) outlets, Twitter, YouTube and Reddit, was examined for fat stigmatising content. A mixed-method analysis comprising sentiment analysis, word co-occurrences and qualitative analysis, assisted our investigation of the corpus for body objectification themes and gender-based...

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Format

Research paper

Research format

Journal article

Date created

15 August 2022

Creator

Wanniarachchi V / Scogings C / Susnjak T / Mathrani A

URL

https://hdl.handle.net/10179/17495

Related subjects

Obesity / fat stigma / gender objectification / mixed methods / sentiments / social media

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