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Research Articles

Normative or Effective? The Role of News Diversity and Trust in News Recommendation Services

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Pages 1216-1229 | Received 27 Jun 2021, Accepted 17 Mar 2022, Published online: 20 Apr 2022
 

Abstract

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.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Notes on contributors

Seung Yeop Lee

Seung Yeop Lee is an assistant professor in the Department of Media Communication at Pukyong National University in Korea. He received his Ph.D. in the Graduate School of Information at Yonsei University. His current research interests include social media, media competition, and personalized news.

Sang Woo Lee

Sang Woo Lee is a Professor of Graduate School of Information at Yonsei University in Korea. He received his Ph.D. in the Department of Telecommunication from Indiana University at Bloomington. His research interests are media business, media usage and media policy.

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