[目的/意义] 在人工智能技术迅速发展的背景下，算法已然成为人们获取、利用信息不可或缺的“幕后伙 伴”。然而，算法使用的负面效应逐渐被披露，与之对应的，人们对算法的认知、了解却十分匮乏。剖析算法感知 构成及其在算法交互中的作用机制，有利于寻找算法感知培育方式，提升大众对技术环境变革的适应力。[方法/ 过程]本研究聚焦对数字环境具有极高适应力、与算法交互更加频繁的数字原住民，对29名在华留学生进行了访 谈，采用扎根理论对访谈数据进行三级编码，发现了算法感知的构成要素及其作用机制。[结果/结论]本研究发现 当前数字原住民的算法感知由概念感知、数据感知、功能感知与风险感知构成。数字原住民通过平台选择进入算 法环境，实现算法交互，在交互过程中形成算法感知。算法感知是其算法态度的来源，与算法态度共同作用影响 数字原住民的算法管理行为。本研究明确了算法感知的作用机制，并基于此提出了算法感知的培养策略。

[Purpose/significance] In the context of the rapid development of artificial intelligence technology, algo? rithms have become an indispensable "behind-the-scenes partner" for people to obtain and use information. However, the negative effects of algorithm use are gradually disclosed, and the corresponding people's knowledge and understand? ing of algorithms are scarce. The analysis of the composition of algorithm awareness and the mechanism of its role in al? gorithm interaction is conducive to the search for ways to cultivate algorithm awareness and enhance the adaptability of the public to changes in the technological environment. [Method/process] This study focuses on digital natives who are highly adaptable to the digital environment and interact more frequently with algorithms. 29 international students in China were interviewed, and the interview data were coded at three levels using rooting theory to discover the compo? nents of algorithmic awareness and their mechanisms of action. [Result/conclusion] This study finds that the current algorithm awareness of digital natives consists of concept awareness, data awareness, function awareness and risk awareness. Digital natives enter the algorithmic environment through platform selection, realize algorithmic interaction, and form algorithm awareness in the process of interaction. Algorithm awareness is the source of their algorithmic atti? tudes and works together with algorithmic attitudes to influence digital natives' algorithmic management behaviors. The mechanism of the role of algorithm awareness is clarified, and strategies for cultivating algorithm awareness is proposed based on this.