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| Information Avoidance Behavior of Intelligent Recommendation Users on Mobile Social Media from the Perspective of Privacy Concerns |
| Wang Xue1, Zha Xianjin1, Mei Xiao1,2, Yan Yalan3 |
1.School of Information Management, Wuhan University, Wuhan 430072
2.National Demonstration Center for Experimental Library and Information Science Education, Wuhan University, Wuhan 430072
3.School of Management, Wuhan University of Science and Technology, Wuhan 430065 |
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Abstract Privacy concerns refer to the degree to which intelligent recommendation (IR) users on mobile social media perceive that their behaviors and tracks are observed and recorded against their wishes. Using the three-level coding of grounded theory, we explore new forms of privacy concerns and information avoidance behavior of IR users on mobile social media and develop a formation mechanism model of information avoidance behavior of IR users from the perspective of privacy concerns. These privacy concerns include information collection, unauthorized secondary use, a sense of being manipulated and spied on, and involuntary exposure, while information avoidance behaviors include ignoring, blocking, and denying information as well as diverting attention and clearing users’ tracks. Meanwhile, privacy concerns directly influence information avoidance intention and behavior and indirectly influence information avoidance intention and behavior through the mediating role of risk appraisal. Moreover, information narrowing can exacerbate privacy concerns. The results of this research provide useful references for developers and users of mobile social media intelligent recommender systems, with theoretical and practical implications.
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Received: 28 May 2022
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