Anxiety, panic and self-optimization

美女 卧室 具身认知 社会化媒体 社会学 美学 心理学 计算机科学 艺术 万维网 工程类 土木工程 人工智能
作者
Sophie Bishop
出处
期刊:Convergence [SAGE]
卷期号:24 (1): 69-84 被引量:172
标识
DOI:10.1177/1354856517736978
摘要

This article will look to YouTube’s algorithm to assess how such forms of mechanical decision-making can create a discriminatory visibility hierarchy of vloggers, favouring middle class social actors who make highly gendered content aligned with advertisers’ demands and needs. I have selected entrepreneurial beauty vloggers as a case study for this article; beauty vlogging is defined as the demonstration and discussion of cosmetic use, often from a vIoggers’ own bedroom (Banet Weiser, 2017; Nathanson, 2014). This is a deeply entrenched genre on the site; beauty vlogging is a full-time job for some successful participants, and a source of pocket money for many more. Moreover, beauty vlogging is an effective illustration of how the YouTube algorithm causes the polarization of identity markers such as gender. Indeed, for female participants, I hypothesize that YouTube actively promotes hegemonic, feminized cultural outputs, created by beauty vloggers with significant embodied social and cultural capital. That is to say, for women on YouTube, the algorithm privileges and rewards feminized content deeply entwined with consumption, beauty, fashion, baking, friendships and boyfriends in the vein of the historical bedroom culture of the teenage magazine. A secondary hypothesis is that beauty vloggers’ own understandings of YouTube’s algorithmic processes are learned and embodied within their own practices, influencing modes of self-presentation, tone of voice, choice of content covered, words and sentence structures used. I argue that it is essential to situate all beauty vloggers’ experience and content as specific to the platform of YouTube; it is their continued success on the YouTube platform that underwrites the value of their brands. In other words, even highly successful vloggers remain beholden to YouTube’s technologies of visibility, they are not safe from the sovereignty of the algorithm.

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