Effect of attribution on the emotions and behavioral intentions of third-party observers toward intergroup discriminators during the COVID-19 pandemic.

The global outbreak of novel coronavirus disease COVID-19 has caused intergroup discrimination associated with the disease to become increasingly prominent. Research demonstrates that the attitudes and behaviors of third-party observers significantly impact the progression of discrimination incidents. This study tested a parallel mediating model in which the attribution tendencies of observers influence their behavioral intentions through the mediating effect of the emotions of anger and contempt. The first two studies confirmed the proposed model with discrimination incidents reported against "returnees from Wuhan" and "returning workers from Hubei." Study 3 further manipulated the attribution tendencies of observers, providing empirical evidence for the causality from attribution tendencies to emotions, confirming the validity of the model. These findings enrich the cognitive (attribution)-emotion-action model, further enhancing our understanding of the role of third parties in intergroup conflicts, with implications for the management of people's emotions and behaviors in social crises.

Influence of smartphone use motives on smartphone addiction during the COVID-19 epidemic in China: the moderating effect of age.

With the development of science and technology, the phenomenon of smartphone addiction has become very common. However, smartphone addiction has adverse consequences. To date, few studies have examined psychological crises and smartphone use motives during the coronavirus disease 2019 (COVID-19) pandemic according to age. Therefore, this study aimed to examine the influences of different types of smartphone use motives on smartphone addiction and explore the moderating effect of age on adolescents and adults. A total of 1346 participants (600 adults and 746 adolescents) completed questionnaires on their motives for smartphone use and smartphone addiction. Results indicated significant positive correlations between smartphone use motives and smartphone addiction. In the moderation model, mood regulation, social relations, pastime, and conformity significantly and directly predicted smartphone addiction; however, perceived enjoyment did not. Age played a moderating role in the prediction of smartphone addiction. Teenagers and adults have different motives for smartphone use, and different motives have different effects on adolescents and adults. Adolescents have higher coping motivation and conformity motivation than adults, and for adolescents, perceived pleasure motivation has a significant impact on smartphone addiction. For adults, perceived pleasure and social relationship motivation have a significant impact on smartphone addiction. Therefore, interventions for smartphone addiction can be developed by investigating the motives of use among different people, and age should be considered when developing interventions for smartphone addiction.