Effects of Uniqueness, News Valence, and Liking on Personalization of Company News

Abstract

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.