Instagram明星的注意力经济学:#Instafame和性销售?

Sophia Gaenssle
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引用次数: 4

摘要

社交媒体明星通过在YouTube、TikTok或Instagram等社交媒体页面上上传照片来创造明星形象。Facebook旗下的“Instagram”服务是最受欢迎的平台之一,专门用于上传图片内容。社交媒体明星现象日益增长的社会、文化和经济影响力引发了一个问题,那就是成功的关键驱动因素。晒身体是Instagram成功的驱动力吗?男性和女性在这方面的内容有区别吗?本文实证分析了Instagram上500位顶级明星的分类(1)时尚和美容,(2)健身和运动,(3)音乐,(4)照片和艺术,(5)食物和素食。不平衡面板数据集包括每个类别内的100颗恒星,观察期为5个月。这些数据提供了受欢迎程度的测量信息,比如订阅者、点赞和评论,最重要的是,每个帖子的价格估计。由于网红不是由平台支付报酬,而是主要由广告商支付,用于推广他们的产品,因此每次上传的估计价格与发布频率相结合,可以作为每周收入和经济成功的有效代理。均值对比检验表明,关注女性账号的账号,身体曝光程度明显更高,而男性内容的单张价格更高。每周的收入并没有明显的差异。此外,使用面板回归,我估计身体暴露和性别对广告收入的影响。结果表明,在回归估计中,身体暴露有正影响,而性别没有显著影响。最终,这引发了社交媒体领域性别薪酬差距的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Attention Economics of Instagram Stars: #Instafame and Sex Sells?
Social media stars create stardom with uploads on social media pages like YouTube, TikTok or Instagram. One of the most popular platforms, especially designed to upload picture contents, is the service “Instagram” owned by Facebook. The growing social, cultural and economic power of social media star phenomenon raises the question about key drivers of success. Does body exposure drive Instagram success? Is there a difference between male and female content in this regard? This paper empirically analyses 500 top Instagram stars within the categories (1) fashion and beauty, (2) fitness and sports, (3) music, (4) photo and arts, (5) food and vegan. The unbalanced panel data set consists of 100 stars within each category over an observation period of five months. The data provides information on popularity measurements, such as subscribers, likes and comments, and most importantly, price estimates per post. Since influencers are not paid by the platform, but mainly by advertisers for promotion of their products, the estimated price per upload combined with the posting frequency serve as a valid proxy for weekly revenue and economic success. Mean comparison tests show that accounts with focus on female accounts have a significantly higher degree in body exposure, while the price per picture is higher for male content. Weekly revenues do not significantly diverge. Furthermore, using panel regressions, I estimate the effect of body exposure and sex on advertising revenue. The results show that body exposure has a positive effect, whereas the sex has no significant influence in the regression estimations. Eventually, this raises the question of a gender pay gap in social media.
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