Although previous studies have highlighted the problematic artificial intelligence (AI) usage behaviors in educational contexts, such as overreliance on AI, no study has explored the antecedents and potential consequences that contribute to this problem. Therefore, this study investigates the causes and consequences of AI dependency using ChatGPT as an example. Using the Interaction of the Person-Affect-Cognition-Execution (I-PACE) model, this study explores the internal associations between academic self-efficacy, academic stress, performance expectations, and AI dependency. It also identifies the negative consequences of AI dependency. Analysis of data from 300 university students revealed that the relationship between academic self-efficacy and AI dependency was mediated by academic stress and performance expectations. The top five negative effects of AI dependency include increased laziness, the spread of misinformation, a lower level of creativity, and reduced critical and independent thinking. The findings provide explanations and solutions to mitigate the negative effects of AI dependency.

Rare studies have focused on how and why people use social networking sites (SNSs) utilizing individual-level variables such as self-construals and social/nonsocial motivations. This study proposes that the self-construal construct provides a good instrument for measuring the relationship between people's understanding of self as a predictor of social computing (Facebook use) and satisfaction. A survey was conducted with students from a large western U.S. university. Results indicate that interdependent self-construal is associated with social-motivations to use SNS, and such motivations lead to satisfaction with SNS use. In contrast, independent self-construal failed to predict SNS use. This finding supports the need to examine the influence of “cultural self” and “social motivations” when interpreting social media use behavior. Suggestions for future research are addressed.

This study examined the relationships among social media use for information, self-status seeking and socializing, body image, self-esteem, and psychological well-being, and some cultural effects moderating these relationships. Americans (n = 502) and Koreans (n = 518) completed an online survey. The main findings showed that (a) social media use for information about body image is negatively related to body satisfaction in the United States and Korea, while social media use for self-status seeking regarding body image is positively related to body satisfaction only in Korea; and (b) body satisfaction has direct and indirect positive effects on psychological well-being manifested in similar ways in the United States and Korea. Implications and future research directions are discussed.

Young climate activist Greta Thunberg was Time magazine’s Person of the Year for 2019. In this study, the authors examine the role of social media in Thunberg’s rise to prominence by investigating Twitter communications over 14 months, analyzing tweet contents and user profiles. The changes in sentiment revealed on Twitter are examined, along with four major events from the period. The paper also compares Swedish and American user characteristics in relation to Thunberg. The findings reveal that celebrities and public figures played an essential role in amplifying the influence of the activist. To categorize the influencer group, the authors identified each user’s occupation, organization, location and position on other social issues. The results show that some people held a negative attitude toward Thunberg, not only because of their skepticism about climate change but also because of their views on other social issues, such as gender and age.