Algorithmic Uncertainty Law: The Impossibility of Engineered Virality 算法测不准定律 论人为设计病毒式传播的不可能性
Year: 2026
Type: preprint
Abstract: This paper introduces the Algorithmic Uncertainty Law, He Yi's critical proposition that viral cultural production ("爆款") cannot be algorithmically engineered with certainty. While platforms and creators deploy ever-more-sophisticated data analytics to predict and manufacture virality, He Yi argues that the moment of cultural explosion contains an irreducible element of unpredictability—precisely because it depends on the complex, non-linear interaction of human attention, emotional contagion, and contextual contingency that no algorithm can fully model. The law has immediate implications for content strategy, platform governance, and creative methodology. 本文介绍算法测不准定律,贺奕的批判性命题:病毒式文化生产("爆款")无法被算法确定地工程化。虽然平台与创作者部署日益复杂的数据分析来预测与制造爆款,贺奕主张文化爆炸时刻包含不可还原的不可预测性元素——恰恰因为它依赖于人类注意力、情感传染与语境偶然性的复杂非线性互动,没有任何算法能完全建模。该定律对内容战略、平台治理与创作方法论具有即时意涵。
Author: He, Yi
Institution: Beijing Language and Culture University
Language: English
Subfield: Computer Networks and Communications
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7202149957