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The Influence of Affective Empathy on Online News Belief: The Moderated Mediation of State Empathy and News Type.
Yu, Yifan; Yan, Shizhen; Zhang, Qihan; Xu, Zhenzhen; Zhou, Guangfang; Jin, Hua.
Affiliation
  • Yu Y; Department of Psychology, Tianjin Normal University, Tianjin 300387, China.
  • Yan S; School of Health, Fujian Medical University, Fuzhou 350122, China.
  • Zhang Q; Department of Psychology, Tianjin Normal University, Tianjin 300387, China.
  • Xu Z; Department of Psychology, Tianjin Normal University, Tianjin 300387, China.
  • Zhou G; Department of Psychology, Tianjin Normal University, Tianjin 300387, China.
  • Jin H; Department of Psychology, Tianjin Normal University, Tianjin 300387, China.
Behav Sci (Basel) ; 14(4)2024 Mar 27.
Article de En | MEDLINE | ID: mdl-38667074
ABSTRACT
The belief in online news has become a topical issue. Previous studies demonstrated the role emotion plays in fake news vulnerability. However, few studies have explored the effect of empathy on online news belief. This study investigated the relationship between trait empathy, state empathy, belief in online news, and the potential moderating effect of news type. One hundred and forty undergraduates evaluated 50 online news pieces (25 real, 25 fake) regarding their belief, state empathy, valence, arousal, and familiarity. Trait empathy data were collected using the Chinese version of the Interpersonal Reactivity Index. State empathy was positively correlated with affective empathy in trait empathy and believability, and affective empathy was positively correlated with believability. The influence of affective empathy on news belief was partially mediated by state empathy and regulated by news type (fake, real). We discuss the influence of empathy on online news belief and its internal processes. This study shares some unique insights for researchers, practitioners, social media users, and social media platform providers.
Mots clés

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Behav Sci (Basel) Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Langue: En Journal: Behav Sci (Basel) Année: 2024 Type de document: Article Pays d'affiliation: Chine Pays de publication: Suisse