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作 者:段世昌 DUAN Shichang(University of Amsterdam, Anthropology Department)
机构地区:[1]阿姆斯特丹大学人类学系
出 处:《国际新闻界》2024年第4期52-71,共20页Chinese Journal of Journalism & Communication
摘 要:本文从直播电商创业者关于算法的非正式知识——算法八卦入手,讨论平台与劳动者之间的可见性政治。“八卦”强调这种算法知识的非正式性,是一种多见于口头流传、较难捕捉且分析较少的研究对象。基于参与式观察和半结构化访谈,本研究发现,算法八卦的内容分为归纳算法和审计算法两部分。归纳算法表明了创业者如何简化算法规则并确立劳动规范,包括明确执行内容生产、实时监视和分析平台反馈来生产数据的“跑数据”劳动过程。审计算法体现了创业者再阐释算法意义的同时也合理化了平台的治理措施,体现在创业者对算法的创新性、去中心化以及公共性的审计。文章最后总结了算法八卦体现的从边缘知识来理解平台与劳动者之间的关系以及总体性技术环境的理论价值。This study investigates the politics of visibility between platforms and laborers,starting with the algorithmic gossip among live e-commerce entrepreneurs.This research founds that,the content of algorithmic gossip can be divided into two parts:simplifying algorithms and auditing algorithms.The first part shows how entrepreneurs simplify rules and establish norms,including defining “traffic” in terms of digital identity and explicitly executing the “data-running” labor process of producing data through content production,real-time monitoring,and analyzing feedback.Auditing algorithms reflects entrepreneurs' reinterpretation of the meaning of algorithms while rationalizing platform governance measures,evidenced by entrepreneurs' auditing of algorithms for innovation,decentralization,and publicness.The article concludes by summarizing the theoretical value of algorithmic gossip in understanding the relationship between platforms and workers from marginal knowledge and the technological environment in general.
分 类 号:TP3[自动化与计算机技术—计算机科学与技术]
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