视频日志用语:美妆视频日志中的战略对话

Sophie Bishop
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引用次数: 10

摘要

摘要YouTube算法重视自动生成文本封闭字幕(auto-generated text closed captions, CC)的YouTube可控性,因此可以有策略地利用视频日志中的口语来优化和定位视频和搜索频道。在他们的博客中,YouTube表示,与他们对丰富而准确的CC的渴望共谋,将获得算法可见性的奖励(YouTube, 2017a)。因此,CC元数据是YouTube上的视频博主(视频博主)面临巨大压力的一个例子,他们需要优化自己的内容,直到自我展示的细节。在本章中,我分析了高度可见的美容视频博主的实践,以概念化有助于算法可读的CC文本的视频博主实践。我把这称为劳动视频的说法。视频日志术语包括关键字填充,定义为在语音中插入经常搜索的关键字。它还包括视频博主的战略性口头表达、语言选择、讲话速度、发音和最小化背景噪音。视频日志的说法可以被认为是一种微名人(Senft, 2008)技术,用于在信息饱和的在线“注意力经济”中吸引注意力和知名度,这是一种价值体系,通常“金钱现在随着注意力流动”(Goldhaber, 1997)。优化语音的呼吁最终将责任推给了创作者,以确保他们的视频可以被看到,同时帮助YouTube为其观众提高搜索准确性。此外,CC以西方为中心的语言支持,以及英语在YouTube平台上的高估值,都被用作社交媒体平台如何无法为不同能力和非英语受众提供服务的例子。
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Vlogging Parlance: Strategic Talking in Beauty Vlogs
Abstract The YouTube affordance of auto-generated textual closed captions (CC) is valued by the YouTube algorithm, and therefore spoken words in vlogs can be strategically used to optimize and orient videos and channels for search. In their blog, YouTube suggests that complicity with their desire for rich and accurate CC is rewarded with algorithmic visibility (YouTube, 2017a). CC metadata are therefore an example of the significant degree of pressure for vloggers (video bloggers) on YouTube to optimize their content down to minutia of self-presentations. In this chapter I analyze the practice of highly visible beauty vloggers to conceptualize vlogging practices that contribute to algorithmically readable CC text. I term this labor vlogging parlance. Vlogging parlance includes keyword stuffing, defined as inserting often-searched-for keywords into speech. It also encompasses the strategic verbal expressions, language choice, speech pace, enunciation, and minimization of background noise by vloggers. Vlogging parlance can be thought of as a microcelebrity (Senft, 2008) technique, deployed to attract attention and visibility in an information-saturated online “attention economy,” a system of value in which often “money now flows along with attention” (Goldhaber, 1997). The call to optimize speech ultimately places responsibility onto creators to ensure their videos can become visible, while assisting YouTube in developing search accuracy for their viewers. Furthermore, the Western-centric language affordances of CC, and the high valuation of English on the YouTube platform, are used as examples of how social media platforms can underserve differently abled and non-English speaking audiences.
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