摘要
人工智能驱动的推荐算法已广泛应用于移动社交媒体平台,它通过对用户历史行为和兴趣偏好数据的学习来实现个性化的信息推送,所形成的移动智能推荐情境凸显了人工智能在推荐领域的颠覆性应用。移动智能推荐一方面更好地满足了用户的信息需求,另一方面加剧了用户的网络成瘾行为。文章利用扎根理论探究移动智能推荐情境下用户网络成瘾行为的影响机理。首先,设计访谈提纲并通过访谈搜集数据。然后,进行三级编码。在开放编码阶段,提炼出132个初始概念和33个基本范畴;在主轴编码阶段,提炼出10个主范畴;在选择编码阶段,构建移动智能推荐情境下网络成瘾行为影响机理理论模型。研究发现,个人素养、行为信念、外界影响、负面感受及现实世界状态对网络成瘾行为具有直接影响;智能推荐的信息质量、系统质量与服务质量通过满意度的中介作用间接影响行为信念,进而影响网络成瘾行为。研究在一定程度上揭示了人工智能在推荐领域的颠覆性应用所带来的社会影响,为移动智能推荐情境下用户网络成瘾行为的干预与治理提供了参考。
AI-driven recommendation algorithms have been widely deployed across mobile social media platforms,enabling personalized information delivery through learning from users'historical behaviors and interest preferences.The resulting mobile intelligent recommendation ecosystem underscores the disruptive applications of AI in the recom-mendation domain.While mobile intelligent recommendations better satisfy users'information needs,they also exacer-bate addictive online behaviors.This study employs grounded theory to explore the underlying mechanisms influencing user internet addiction within mobile intelligent recommendation contexts.First,an interview protocol was designed,and data were collected through semi-structured interviews.Three-tier coding was then conducted:during open coding,132 initial concepts and 33 basic categories were extracted;through axial coding,10 principal categories were identified;and during selective coding,a theoretical model of internet addiction mechanisms in mobile intelligent recommendation scenar-ios was constructed.The findings reveal that personal literacy,behavioral beliefs,external influences,negative emotions,and real-world conditions exert direct impacts on internet addiction behaviors.Meanwhile,the information quality,system quality,and service quality of intelligent recommendations indirectly influence behavioral beliefs through mediating ef-fects of user satisfaction,thereby affecting addictive behaviors.This research,to a certain extent,elucidates the societal impacts of AI's disruptive applications in recommendation systems,providing theoretical references for interventions and governance strategies addressing user internet addiction within mobile intelligent recommendation environments.
作者
危馨岚
查先进
Wei Xinlan;Zha Xianjin
出处
《图书与情报》
北大核心
2025年第3期56-65,共10页
Library & Information
基金
国家社会科学基金重大项目“人工智能颠覆性应用的社会影响与信息治理研究”(项目编号:23&ZD223)研究成果之一。
关键词
移动社交媒体
智能推荐
颠覆性应用
网络成瘾
扎根理论
mobile social media
intelligent recommendation
disruptive application
internet addiction
grounded theory
