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The Invisible Web Woven by Algorithms: A Study on the Media Behavior of "Lurking" Participants

Year: 2024

Type: article

Abstract: This study delves into the media behaviors of “lurking” participants, a distinct user group, by analyzing their activities in the online space. It uncovers the multifaceted impacts of algorithmic recommender systems on “lurking” participants. The research finds that algorithms not only profoundly influence users' content selection and preference development but also play a pivotal role in shaping their social interaction patterns, thereby having profound effects on the overall information ecosystem. Furthermore, this study explores the complexities of how algorithmic recommender systems mold users' information consumption habits.

Source: Advances in Education Humanities and Social Science Research

DOI: 10.56028/aehssr.12.1.40.2024

Authors: Yunjun Zhang, Beini Xiao

Institutions: Jingchu University of Technology, Chongqing University of Posts and Telecommunications

Language: English

Topic: Recommender Systems and Techniques

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4405729548

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