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首页> 外文期刊>International journal of virtual communities and social networking. 46 13 |a IJVCSN >Exploring #nofilter Images When a Filter Has Been Used: Filtering the Truth on Instagram Through a Mixed Methods Approach Using Netlytic and Photo Analysis
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Exploring #nofilter Images When a Filter Has Been Used: Filtering the Truth on Instagram Through a Mixed Methods Approach Using Netlytic and Photo Analysis

机译：使用滤镜后浏览#nofilter图像：通过混合方法使用Netlytic和Photo Analysis筛选Instagram上的真相

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摘要

Many social media users rely on photo editing techniques in order to receive more positive attention (i.e., likes/comments) online. This study used a mixed methods approach to conduct a descriptive analysis of #nofilter use by Instagram users. By using #nofilter users are making a point that they did not edit/manipulate their images. Of particular interest were those who used #nofilter but did filter their images. A text analysis of 18,366 images was conducted using Netlytic, reveling the largest content category as 'appearance'. A content analysis was used to examine authors of #nofilter images whom did use a filter, and photo-coding scheme for this group of images was implemented. Of 18,366 images collected that used #nofilter, 12% (N=1630) did in fact use a filter. Listwise deletions were conducted and 1344 images remained. Results suggest the majority of accounts were personal, and belonged to females and of the images, majority had people in them. People using #nofilter do in fact filter their images and research into the reasons for deceit on social media is needed.
机译：许多社交媒体用户依靠照片编辑技术来在线上获得更多正面关注（即喜欢/评论）。这项研究使用混合方法对Instagram用户使用#nofilter进行描述性分析。通过使用#nofilter，用户可以指出他们没有编辑/操作图像。特别感兴趣的是那些使用#nofilter但确实过滤了其图像的用户。使用Netlytic对18,366张图像进行了文本分析，发现最大的内容类别为“外观”。内容分析用于检查使用过滤器的#nofilter图像的作者，并为该组图像实施了光编码方案。在使用#nofilter收集的18366张图像中，有12％（N = 1630）实际上使用了滤镜。进行逐列表删除，并保留1344张图像。结果表明，大多数帐户都是私人帐户，属于女性，在图片中，大多数帐户中包含人物。实际上，使用#nofilter的人确实会过滤其图像，并需要研究社交媒体上欺骗的原因。

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