A Multidimensional Framework for Understanding Internet Information Behavior: Influencing Factors and Progression in the Digital Age

Abstract

This study explores the multidimensional characteristics and influencing factors of Internet information behavior and constructs a theoretical framework to explain user behaviors in information acquisition, dissemination, and sharing. The paper defined the core concepts of Internet information behavior and examined its evolution in the digital era. It categorized information acquisition behaviors based on processing methods, emphasizing the roles of search engines and social media in fulfilling users' information needs. Our paper identifies two primary factors shaping users' information behavior: Individual and social factors. Individual factors affect search strategies and channel preferences, while social networks and cultural contexts drive group-level trends in information sharing and dissemination. We also explore the applications of Internet information behavior in education, business, and public services. It analyzes opportunities and challenges posed by technologies such as AI and big data, alongside related ethical and social responsibilities. These findings suggest potential directions for future research.