Effects of Uniqueness, News Valence, and Liking on Personalization of Company News
Autor: | Cong Li, Zifei Fay Chen, Cheng Hong |
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Rok vydání: | 2020 |
Předmět: | |
Zdroj: | Journalism & Mass Communication Quarterly. 97:890-912 |
ISSN: | 2161-430X 1077-6990 |
DOI: | 10.1177/1077699020923604 |
Popis: | Many online information systems are delivering personalized news to users today. The essence of this personalization process is to match a news article to the reader’s self-identity. However, prior studies mostly focus on matching a positive news story to a person’s desired identity. No known research has discussed the possibility of matching a negative news story to a person’s undesired identity. This study aims to fill this theoretical gap by testing a three-way interaction effect among news valence, identity desirability, and uniqueness on attitude toward the news story. Through a 2 × 2 × 2 between-subjects experiment, it is shown that a positive news story tends to generate a more favorable attitude when matched to the reader’s desired self-identity, whereas a negative news story will generate a more favorable attitude when matched to the person’s undesired self-identity, and such an effect is especially pronounced when the identity is unique. Perceived news credibility is found to partially mediate these effects. |
Databáze: | OpenAIRE |
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