The 2020 Presidential Debate But Only the Parts Where Someone Breathes Loudly or Sighs

Zach Whalen
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Abstract

This essay is both an artist statement and a case study focusing on the surprising viewership of a video I created in 2020 unexpectedly became popular in April 2021. In the course of this reflection and analysis, I show how the meaning of this video involves the algorithms driving the YouTube platform, and the various and painful contexts of the year 2020. Although I view the video as a successful piece of art in its own way, I also argue that, as a meme, it must also be viewed with reference to its three salient contexts: the deformative meme ecology, YouTube as a platform, and the year 2020. Because the memetic logics demonstrated by my video bring together the participatory logics of appropriation with the capricious attention of the YouTube algorithm, my access to the videos’ audience analytics affords a unique perspective on the memetics of resonance and spread. Ultimately, a close analysis of this video will shed light on the ecology of video memes on YouTube, the recommendation algorithm as an audience, and the way that those two structures come into view through the analytics data to offer insight on viewers’ responses that not typically available to artists. Ultimately, I conclude that the qualities of media encouraged by the analytics dashboard’s emphasis on engagement are not necessarily consistent with the goals of critical media art, but it is possible to consider how further attention to metrics could create compelling art with attention to algorithmic affordances.
2020年总统辩论,但只有有人大声呼吸或叹气的部分
这篇文章既是一个艺术家的陈述,也是一个案例研究,重点关注我在2020年创作的一个视频的惊人收视率,意外地在2021年4月流行起来。在这个反思和分析的过程中,我展示了这段视频的意义是如何涉及到驱动YouTube平台的算法,以及2020年各种痛苦的背景。虽然我认为这段视频本身就是一件成功的艺术作品,但我也认为,作为一种模因,它也必须参考它的三个突出背景来看待:变形的模因生态,YouTube作为一个平台,以及2020年。因为我的视频展示的模因逻辑将挪用的参与逻辑与YouTube算法的反复无常的关注结合在一起,我对视频受众分析的访问为共振和传播的模因提供了一个独特的视角。最终,对这段视频的仔细分析将揭示YouTube上视频模因的生态,作为观众的推荐算法,以及这两种结构通过分析数据进入视野的方式,从而提供对观众反应的洞察,而这通常是艺术家无法获得的。最后,我得出的结论是,由分析仪表盘所强调的用户粘性所鼓励的媒体质量并不一定与批判性媒体艺术的目标一致,但我们可以考虑进一步关注参数如何能够创造出具有吸引力的艺术,同时关注算法支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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