Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review
With increased obesity rates worldwide and the rising popularity in social media usage, we have witnessed a growth in hate speech towards fat/obese people. The severity of hate content has prompted researchers to study public perceptions that give rise to fat stigma from social media discourses. Thi...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-05-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/10/5045 |
| _version_ | 1797501813213102080 |
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| author | Vajisha Udayangi Wanniarachchi Anuradha Mathrani Teo Susnjak Chris Scogings |
| author_facet | Vajisha Udayangi Wanniarachchi Anuradha Mathrani Teo Susnjak Chris Scogings |
| author_sort | Vajisha Udayangi Wanniarachchi |
| collection | DOAJ |
| description | With increased obesity rates worldwide and the rising popularity in social media usage, we have witnessed a growth in hate speech towards fat/obese people. The severity of hate content has prompted researchers to study public perceptions that give rise to fat stigma from social media discourses. This article presents a systematic literature review of recent literature published in this domain to gauge the current state of research and identify possible research gaps. We have examined existing research (i.e., peer-reviewed articles that were systematically included using the EBSCO discovery service) to study their methodological aspects by reviewing their context, domain, analytical methods, techniques, tools, features and limitations. Our findings reveal that while recent studies have explored fat stigma content in social media, these mostly acquired manual analytical methods regardless of the evolved machine learning, natural language processing and deep learning methods. Although fat stigma in social media has gained enormous attention in current socio-psychological research, there exists a gap between how such research is conducted and what technologies are being applied, which limits in-depth investigations of fat stigma discussions. |
| first_indexed | 2024-03-10T03:23:58Z |
| format | Article |
| id | doaj.art-fe0e8ea97d934548b37b093f0b9ae462 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:23:58Z |
| publishDate | 2022-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-fe0e8ea97d934548b37b093f0b9ae4622023-11-23T09:56:53ZengMDPI AGApplied Sciences2076-34172022-05-011210504510.3390/app12105045Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature ReviewVajisha Udayangi Wanniarachchi0Anuradha Mathrani1Teo Susnjak2Chris Scogings3School of Mathematical and Computational Sciences, Massey University, Auckland 0632, New ZealandSchool of Mathematical and Computational Sciences, Massey University, Auckland 0632, New ZealandSchool of Mathematical and Computational Sciences, Massey University, Auckland 0632, New ZealandSchool of Mathematical and Computational Sciences, Massey University, Auckland 0632, New ZealandWith increased obesity rates worldwide and the rising popularity in social media usage, we have witnessed a growth in hate speech towards fat/obese people. The severity of hate content has prompted researchers to study public perceptions that give rise to fat stigma from social media discourses. This article presents a systematic literature review of recent literature published in this domain to gauge the current state of research and identify possible research gaps. We have examined existing research (i.e., peer-reviewed articles that were systematically included using the EBSCO discovery service) to study their methodological aspects by reviewing their context, domain, analytical methods, techniques, tools, features and limitations. Our findings reveal that while recent studies have explored fat stigma content in social media, these mostly acquired manual analytical methods regardless of the evolved machine learning, natural language processing and deep learning methods. Although fat stigma in social media has gained enormous attention in current socio-psychological research, there exists a gap between how such research is conducted and what technologies are being applied, which limits in-depth investigations of fat stigma discussions.https://www.mdpi.com/2076-3417/12/10/5045fat stigmasocial mediaoverweightobesityanalytical methodlimitation |
| spellingShingle | Vajisha Udayangi Wanniarachchi Anuradha Mathrani Teo Susnjak Chris Scogings Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review Applied Sciences fat stigma social media overweight obesity analytical method limitation |
| title | Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review |
| title_full | Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review |
| title_fullStr | Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review |
| title_full_unstemmed | Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review |
| title_short | Methodological Aspects in Study of Fat Stigma in Social Media Contexts: A Systematic Literature Review |
| title_sort | methodological aspects in study of fat stigma in social media contexts a systematic literature review |
| topic | fat stigma social media overweight obesity analytical method limitation |
| url | https://www.mdpi.com/2076-3417/12/10/5045 |
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