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AI赋能用户信息行为研究:逻辑与框架

姚山季 朱娠萍 刘佳静 李晓勤

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AI赋能用户信息行为研究:逻辑与框架

AI Empowering User Information Behavior Research: Logic and Framework

姚山季 1朱娠萍 1刘佳静 1李晓勤2

作者信息

  • 1. 南京工业大学经济与管理学院,南京 211816
  • 2. 江苏省科学技术情报研究所,南京 210042
  • 折叠

摘要

人工智能(Artificial Intelligence,AI)如何为用户信息行为研究赋能,是信息行为领域亟待阐明的核心议题。本研究旨在厘清AI对用户信息行为研究的赋能逻辑,为该领域的进一步发展提供分析框架和方法论指导。首先,从技术与应用层面解构AI的概念,界定本研究中AI的内涵与范畴;其次,从研究主体、研究内容和研究方法3个维度,系统剖析AI的技术赋能路径与作用机制;最后,遵循“核心构成-运行机制-约束条件”的递进逻辑,构建AI赋能用户信息行为研究的分析框架,并从赋能维度、维度互动、边界与伦理风险3个层面揭示赋能的动态过程与相关结果。

Abstract

How Artificial Intelligence (AI) empowers user information behavior research is a core issue that urgently needs clarification in the field of information behavior. This study aims to clarify the empowerment logic of AI for user information behavior research and provide an analytical framework and methodological guidance for the further development of this field. Firstly, the concept of AI is deconstructed from the technical and application levels to define its connotation and scope in this study. Secondly, the technical empowerment paths and mechanisms of AI are systematically analyzed from three dimensions: research subject, research content, and research methods. Finally, following the progressive logic of "core components - operating mechanisms - constraints," an analytical framework for AI-empowered user information behavior research is constructed, and the dynamic process and related outcomes of empowerment are revealed from three aspects: empowerment dimensions, dimension interactions, boundaries, and ethical risks.

关键词

人工智能/信息行为研究/机器学习/赋能边界/伦理风险

Key words

Artificial Intelligence/Information Behavior Research/Machine Learning/Empowerment Boundary/Ethical Risk

引用本文复制引用

姚山季,朱娠萍,刘佳静,李晓勤.AI赋能用户信息行为研究:逻辑与框架[EB/OL].(2026-04-23)[2026-04-23].https://sinoxiv.napstic.cn/article/25781229.

学科分类

计算技术、计算机技术

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首发时间 2026-04-23 14:04:55
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