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“Algorithmic Social Knowledge”——Algorithmic Interpretation and Collective Knowledge Construction of Short-video Content Creators
LAI Chuyao
Chinese Journal of Journalism & Communication ›› 2022, Vol. 44 ›› Issue (12) : 109-131.
PDF(1581 KB)
PDF(1581 KB)
“Algorithmic Social Knowledge”——Algorithmic Interpretation and Collective Knowledge Construction of Short-video Content Creators
Algorithm has become a cultural logic in today’s world. Due to the structural concealment of algorithm technology, the algorithmic knowledge is framed as pure technical expertise of the system, which ignores the social interpretation of algorithm. In a dialogue with previous studies on user perception of algorithms and the sociology of knowledge, this study conceptualizes “algorithmic social knowledge” to refer to the interpretation of algorithm-related problems that users collectively construct in algorithm-structured social media, as opposed to technical algorithmic knowledge. Through the online and offline ethnography of short-video content creators, this study reveals the process by which algorithmic knowledge fragments emerge from specific everyday situations of algorithm-user interaction, where these fragments can be distinguished as operational and prescriptive. These algorithmic knowledge fragments are collaged in relation by means of “private verification”, and are collectively constructed as “algorithmic social knowledge” in the loose folk algorithmic knowledge community. “Algorithmic social knowledge”, as social rather than cognitive knowledge, guides people to negotiate the relationship with the algorithm to develop the action strategy. Therefore, it is incorporated into the recursive feedback loop of the algorithm and changes rapidly with the whole unstable algorithm ecology.
algorithmic knowledge / knowledge community / everyday situation / knowledge construction / Short-video content creator
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1. XK记录的数据是指他在抖音创作服务平台的创作者界面中能够看到的数据。抖音、快手、哔哩哔哩等视频社交平台都有类似的后台数据服务功能。用户在后台即可观察到作品的数据反馈情况和变化。
2. 一种统计方法，用于将两种或多种技术进行比较，通常是将当前采用的技术与新技术进行比较。A/B测试不仅旨在确定哪种技术的效果更好，而且还有助于了解相应差异是否具有显著的统计意义。A/B测试通常是采用一种衡量方式对两种技术进行比较，但也适用于任意有限数量的技术和衡量方式。参考来源：
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