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.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
