Gendered objectification of weight stigma in social media: a mixed method analysis
dc.contributor.author | Wanniarachchi, VU | en_US |
dc.contributor.author | Mathrani, A | en_US |
dc.contributor.author | Susnjak, T | en_US |
dc.contributor.author | Scogings, C | en_US |
dc.coverage.spatial | Fremantle, Western Australia | en_US |
dc.date.accessioned | 2022-11-29T22:43:03Z | |
dc.date.available | 2019-12-09 | en_US |
dc.date.available | 2022-11-29T22:43:03Z | |
dc.date.finish-date | 2019-12-11 | en_US |
dc.date.issued | 2019-12-09 | en_US |
dc.date.start-date | 2019-12-09 | en_US |
dc.description | (c) The Author/s. This is an open-access article distributed under the terms of the CreativeCommons Attribution-NonCommercial 3.0 Australia License, which permits non-commercial use,distribution, and reproduction in any medium, provided the original author and ACIS are credited. | en_US |
dc.description.abstract | Rising popularity of social media platforms has led to many online exchanges on emergent topics by citizens globally. The growth in obesity rates worldwide has fuelled ongoing obesity-related discussions over social media. This study investigates the existence of weight stigma targeted towards different genders in online discussions. Using a mixed method analysis approach, we examined sentiments and word co-occurrences associated with weight stigma from the data corpus captured from Twitter and YouTube. Using the objectification theory as the underlying theory to examine the experiential consequences, our study reveals many sentiments over online discourses and reports significant gender based differences in the stigmatising content, with more intensity in negative emotions targeting female objectification than males. This study bridges data mining and social construction studies with embedded analytics to share new insights on human behaviours that can help extend our understanding of sentiments that lead to male and female objectification. | en_US |
dc.description.confidential | false | en_US |
dc.description.place-of-publication | Fremantle, Western Australia | en_US |
dc.format.extent | 362 - 372 (11) | en_US |
dc.identifier | https://www.acis2019.org/Papers/ACIS2019_PaperFIN_077.pdf | en_US |
dc.identifier.citation | Australasian Conference on Information Systems, 2019, pp. 362 - 372 (11) | en_US |
dc.identifier.elements-id | 428784 | |
dc.identifier.harvested | Massey_Dark | |
dc.identifier.uri | http://hdl.handle.net/10179/17733 | |
dc.publisher.uri | https://www.acis2019.org/Papers/ACIS2019_PaperFIN_077.pdf | en_US |
dc.relation.isPartOf | Australasian Conference on Information Systems | en_US |
dc.rights | CC BY-NC 3.0 AU | en_US |
dc.source | 30th Australasian Conference on Information Systems | en_US |
dc.subject | Obesity | en_US |
dc.subject | weight stigma | en_US |
dc.subject | social media | en_US |
dc.subject | mixed method | en_US |
dc.subject | objectification | en_US |
dc.subject | sentiments | en_US |
dc.title | Gendered objectification of weight stigma in social media: a mixed method analysis | en_US |
dc.type | Conference Paper | |
pubs.notes | Not known | en_US |
pubs.organisational-group | /Massey University | |
pubs.organisational-group | /Massey University/College of Sciences | |
pubs.organisational-group | /Massey University/College of Sciences/PVC's Office - College of Sciences | |
pubs.organisational-group | /Massey University/College of Sciences/School of Mathematical and Computational Sciences |
Files
Original bundle
1 - 1 of 1
Loading...
- Name:
- ACIS2019_PaperFIN_077.pdf
- Size:
- 426.73 KB
- Format:
- Adobe Portable Document Format
- Description: