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A recurring claim in the literature is that active social media use (ASMU) leads to increases in well-being, whereas passive social media use (PSMU) leads to decreases in well-being. The aim of this review was to investigate the validity of this claim by comparing the operationalizations and results of studies into the association of ASMU and PSMU with well-being (e.g. happiness) and ill-being (e.g. depressive symptoms). We found 40 survey-based studies, which utilized a hodgepodge of 36 operationalizations of ASMU and PSMU and which yielded 172 associations of ASMU and/or PSMU with well-/ill-being. Most studies did not support the hypothesized associations of ASMU and PSMU with well-/ill-being. Time spent on ASMU and PSMU may be too coarse to lead to meaningful associations with well-/ill-being. Therefore, future studies should take characteristics of the content of social media (e.g. the valence), its senders (e.g. pre-existing mood), and receivers (e.g. differential susceptibility) into account.

The aim of this qualitative study was to uncover homogeneity (commonalities between adolescents), heterogeneity (differences between adolescents), and duality (differences within adolescents) in the relationship between adolescents' social media use and well-being. To do so, 8 focus groups with 55 adolescents aged 14–17 were conducted. Anchored in the differential susceptibility to media effects model, we examined adolescents' (1) individual motives and (2) moods leading to social media use, (3) the nature of this use, (4) their affective responses, and (5) perceived longer-term effects. Through deductive thematic analysis, we noted large homogeneity in motives for social media use but heterogeneity in moods leading to social media use. In addition, our findings revealed heterogeneity and duality in the affective responses and the perceived long-term effects of social media use. This duality, where the same individual is affected in both positive and negative ways by social media use, appeared in various forms: concurrently, when adolescents experience conflicting feelings simultaneously, such as feeling both envy and inspiration; alternately, when adolescents shift between experiences, such as feelings of connection and isolation; and sequentially, for example, where initial enjoyment gradually turns into boredom. Furthermore, duality appeared across different cognitive and affective aspects of well-being. Directions for future research are provided on how to examine the role and meaning of various forms of homogeneity, heterogeneity, and duality in the relationship between adolescents' social media use and well-being.

This study investigated the effects of active private, passive private, and passive public social media use on adolescents' affective well-being. Intensive longitudinal data (34,930 assessments in total) were collected through a preregistered three-week experience sampling method study among 387 adolescents. N = 1 time series were investigated, using Dynamic Structural Equation Modeling. Findings showed that different types of social media use very rarely yielded different effects within one and the same adolescent: 45% of adolescents experienced no changes in well-being due to any of the three types of social media use, 28% only experienced declines in well-being, and 26% only experienced increases in well-being. Only one adolescent experienced the theoretically expected effect pattern of a positive effect of active private and passive private use and negative effect of passive public use. Together, the findings suggest that the active–passive use dichotomy in social media research is less clear-cut than it might seem.