连续性
个性化
调解
心理学
多样性(政治)
规范性
社会心理学
用户满意度
计算机科学
万维网
政治学
人机交互
法学
作者
Seung Yeop Lee,Sang Woo Lee,Sang Woo Lee,Sang Woo Lee
标识
DOI:10.1080/10447318.2022.2057116
摘要
In recent years, online news portals have initiated the use of algorithms to recommend news. The purpose of this study was to determine how the perceived personalization of Naver News users affects continuance intention through the mediation of trust, user satisfaction, and perceived usefulness. Moreover, this study investigated how the perceived news diversity affects continuance intention through the mediation of user satisfaction and perceived usefulness, using data collected from 451 participants in South Korea. Research findings revealed that perceived personalization had a positive effect on continuance intention through the mediation of trust, user satisfaction, and perceived usefulness. Furthermore, perceived news diversity had a positive effect on continuance intention through the mediation of user satisfaction, a finding that has not been outlined in previous studies. This study also shares several practical implications that might be of interest to news aggregators and portals toward increasing their users’ trust, and satisfaction.
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