Influence of TikTok on Body Satisfaction Among Generation Z in Indonesia: Mixed Methods Approach.

IF 2.6 Q2 HEALTH CARE SCIENCES & SERVICES JMIR Human Factors Pub Date : 2024-09-06 DOI:10.2196/58371
Hanifa Ariana, Ikmal Almuhtadi, Nikita Jacey Natania, Putu Wuri Handayani, Stéphane Bressan, Pramitha Dwi Larasati
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Abstract

Background: As social media platforms gain popularity, their usage is increasingly associated with cyberbullying and body shaming, causing devastating effects.

Objective: This study aims to investigate the impact of social media on Generation Z users' body image satisfaction. More specifically, it examines the impact of TikTok on body image satisfaction among TikTok users aged between 17 years and 26 years in Indonesia.

Methods: The methodology used mixed-method approaches. Quantitative data were obtained from 507 responses to a questionnaire and analyzed using covariance-based structural equation modeling. Qualitative data were obtained from the interviews of 32 respondents and analyzed through content analysis.

Results: This study reveals that upward appearance comparison is influenced by video-based activity and appearance motivation. Conversely, thin-ideal internalization is influenced by appearance motivation and social media literacy. Upward appearance comparisons and thin-ideal internalization comparisons detrimentally impact users' body image satisfaction.

Conclusions: The results of this study are expected to provide valuable insights for social media providers, regulators, and educators in their endeavors to establish a positive and healthy social media environment for users.

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TikTok 对印度尼西亚 Z 世代身体满意度的影响:混合方法
背景:随着社交媒体平台的普及,其使用与网络欺凌和身体羞辱的关系日益密切,造成了破坏性影响:本研究旨在调查社交媒体对 Z 世代用户身体形象满意度的影响。更具体地说,本研究探讨了 TikTok 对印度尼西亚 17 岁至 26 岁 TikTok 用户身体形象满意度的影响:方法:采用混合方法。定量数据来自 507 份问卷的回复,并使用基于协方差的结构方程模型进行分析。定性数据来自对 32 名受访者的访谈,并通过内容分析法进行分析:本研究揭示了向上外观比较受基于视频的活动和外观动机的影响。相反,瘦身理想的内在化则受外貌动机和社交媒体素养的影响。向上的外貌比较和瘦的理想内化比较会对用户的身体形象满意度产生不利影响:本研究的结果有望为社交媒体提供商、监管机构和教育工作者提供有价值的见解,帮助他们为用户建立积极健康的社交媒体环境。
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来源期刊
JMIR Human Factors
JMIR Human Factors Medicine-Health Informatics
CiteScore
3.40
自引率
3.70%
发文量
123
审稿时长
12 weeks
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