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The effects of body ideal profile pictures and friends' comments on social network site users' body image: A side model approach.

机译:身体理想的个人资料图片和朋友的评论对社交网站用户的身体形象的影响:一种侧面模型方法。

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摘要

Although a substantial body of research has explored the effects of exposure to idealized images in traditional media on one's body image, there is relatively little systematic investigation of the body ideal on social network sites (SNSs). In an attempt to further body image research, this study sought to explore the effects of exposure to Facebook body ideal profile pictures and body ideal comments on users' body image. In addition, the social identity model of deindividuation effects (SIDE) was used to explore Facebook users' adherence to a body ideal norm, as well as the role of group identification in this process. The SIDE model has been widely used to investigate group communication in CMC contexts, yet had not been used in SNS research prior to this study.;To address this issue, a pre-test post-test 2 x 2 X 2 between-group web-based experimental design was used on a mock Facebook status page. The design was comprised of body ideal profile pictures (body ideal vs. no body), body ideal comments (pro-ideal vs. anti-ideal), and group identification (high vs. low). A total of 501 participants completed the web-based experiment and passed all manipulation checks. Participants viewed pictures and comments on the Facebook status page and were able to leave their own comment before moving on to the post-test instrument.;Results demonstrated no significant main effects for either profile pictures or comments on participants' body image. However, those with low predispositional body satisfaction displayed significantly lower body satisfaction after viewing body ideal images than those with relatively higher predispositional body satisfaction. In addition, participants' comments were overwhelmingly in line with the body ideal norm. But, in support of the SIDE model, the group norm did significantly affect participants' behavior. Those exposed to anti-ideal comments were almost three times more likely to make anti-ideal comments than those exposed to pro-ideal comments. In contrast to recent SIDE model research, group identification played no role in either participants' adherence to the norm or in the relationship between exposure to body ideal pictures and comments on participants' body image. It was speculated that the CMC context of SNSs may have played a role in the lack of significant effects of group identification. Altogether, the findings from this study demonstrated the importance of continued body image research in SNSs as well as the applicability of the SIDE model in this newer CMC context. In addition, the findings illuminated potential of further research on body image that is guided by the SIDE model. Finally, the successful implantation of a novel web-based experimental design shows promise for similar research in future communication inquiries.
机译:尽管大量研究已经探索了传统媒体中暴露于理想化图像对人体形象的影响,但在社交网站(SNSs)上对人体理想的系统研究相对较少。为了进一步进行人体图像研究,本研究试图探索暴露于Facebook人体理想档案图片和人体理想评论对用户人体图像的影响。此外,使用了去个性化效应的社会身份模型(SIDE)来探索Facebook用户对身体理想规范的遵守情况,以及团体识别在此过程中的作用。 SIDE模型已被广泛用于调查CMC情境中的群体沟通,但在此研究之前尚未用于SNS研究中。要解决此问题,请使用测试前的测试后2 x 2 X 2组间网络模拟的Facebook状态页面上使用了基于实验的设计。该设计由身体理想的个人资料图片(身体理想与否),身体理想注释(理想与反理想)和组标识(高与低)组成。共有501名参与者完成了基于网络的实验并通过了所有操作检查。参与者在Facebook状态页面上查看了图片和评论,并能够在继续进行后期测试之前留下自己的评论。结果表明,个人资料图片或评论对参与者的身体图像没有明显的主要影响。但是,与那些具有相对较高的易感性身体满意度的人相比,那些具有较低的易感性身体满意度的人在观看人体理想图像后显示出明显较低的身体满意度。此外,参与者的评论绝大多数符合身体理想规范。但是,为了支持SIDE模型,小组规范确实对参与者的行为产生了重大影响。那些接受反理想评论的人提出反理想评论的可能性几乎比接受理想主义评论的人高出三倍。与最近的SIDE模型研究相比,群体识别在参与者遵守规范或在接触人体理想图片和评论参与者身体图片之间的关系上没有任何作用。据推测,SNS的CMC上下文可能是由于缺乏群体识别的重要作用而起作用的。总而言之,这项研究的结果证明了继续在SNS中进行人体图像研究的重要性以及SIDE模型在这种较新的CMC环境中的适用性。此外,这些发现阐明了在SIDE模型的指导下对人体图像进行进一步研究的潜力。最后,基于网络的新颖实验设计的成功植入显示了在未来的沟通查询中进行类似研究的希望。

著录项

  • 作者

    Flynn, Mark Allen.;

  • 作者单位

    Bowling Green State University.;

  • 授予单位 Bowling Green State University.;
  • 学科 Psychology Social.;Web Studies.
  • 学位 Ph.D.
  • 年度 2012
  • 页码 233 p.
  • 总页数 233
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

  • 入库时间 2022-08-17 11:43:41

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