Previous studies have reported that general or photo-specific social media use was associated with women’s body dissatisfaction and body image disturbance. The current study replicated and expanded upon these findings by identifying the positive association between social media influencer viewing and intentions to change appearance. This study surveyed a sample of 7,015 adult female TikTok users in China regarding their social media influencer viewing frequency, self-objectification, social comparison tendencies when watching short videos, intentions to change appearance, and demographics. The results (...) showed that female TikTok users’ self-objectification mediated the association between their influencer viewing frequency and their intentions to change appearance. Furthermore, social comparison tendencies moderated the association between influencer viewing and intentions to change appearance in that the proposed association was stronger for female TikTok users who had lower social comparison tendencies when watching short videos, compared to female TikTok users who had higher social comparison tendencies. The counter-intuitive finding on social comparison tendencies indicated that women who have higher social comparison tendencies may be more aware of the negative influences and adjust their expectations. The observed association between social media influencer viewing and intentions to change appearance was statistically significant but trivial in terms of effect size. Although the result could warn policymakers and practitioners to design media and health literacy campaigns to cultivate body positivity, caution should be exercised when evaluating the practical implications. (shrink)

In the world of social media, people are free to choose names based on their preferences, which may potentially reflect certain levels of uniqueness. In this study, we have attempted to explore the possibility of applying the ecological theory of individualism/collectivism in the context of social media. We, thus, examined provincial variations in the uniqueness of nicknames among more than 13 million Sina Weibo users. Initially, the nickname uniqueness indicator was set at the provincial level. It was found that the (...) uniqueness of nicknames was the highest in provinces with temperate climates, for example Guangdong, and the lowest in provinces with demanding climate, such as Ningxia. Regression analysis results partially supported that inhabitants in provinces with temperate climate were more likely to use unique nicknames on social media compared to those from harsh climate. This finding is significant in terms of ecology. (shrink)