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  • 标题:Facial recognition, emotion andrace in animated social media
  • 本地全文:下载
  • 作者:Luke Stark
  • 期刊名称:First Monday
  • 电子版ISSN:1396-0466
  • 出版年度:2018
  • 卷号:23
  • 期号:9
  • 页码:1-19
  • DOI:10.5210/fm.v23i9.9406
  • 语种:English
  • 出版社:University of Illinois at Chicago Library
  • 摘要:Facial recognition systems are increasingly common components of commercial smartphones such as the iPhone X and the Samsung Galaxy S9.These technologies are alsoincreasingly being put to use in consumer-facing social media video-sharing applications,such as Apple’s animoji and memoji, Facebook Messenger’s masks and filters andSamsung’s AR Emoji.These animations serve as technical phenomena translatingmoments of affective and emotional expression into mediated socially legible forms.Through an analysis of these objects and the broader literature on digital animation, thispaper critiques the ways these facial recognition systems classify and categorize racialidentities in human faces.The paper considers the potential dangers of both racializinglogics as part of these systems of classification, and how data regarding emotionalexpression gathered through these systems might interact with identity-based forms ofclassification.
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