2020
DOI: 10.1038/s41598-020-67727-7
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The effect of social media on well-being differs from adolescent to adolescent

Abstract: The question whether social media use benefits or undermines adolescents' well-being is an important societal concern. Previous empirical studies have mostly established across-the-board effects among (sub)populations of adolescents. As a result, it is still an open question whether the effects are unique for each individual adolescent. We sampled adolescents' experiences six times per day for one week to quantify differences in their susceptibility to the effects of social media on their momentary affective w… Show more

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Cited by 337 publications
(402 citation statements)
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“…Media effects theorists argue that the influence of the media may depend on individual and situational characteristics (Valkenburg and Peter, 2013;Beyens et al, 2020). The current research considers two individual differences that are relevant for emerging adult development, but have yet to be experimentally explored as moderators in the link between passive browsing and well-being: feedback seeking and the fear of missing out (FoMO).…”
Section: Individual Differencesmentioning
confidence: 99%
“…Media effects theorists argue that the influence of the media may depend on individual and situational characteristics (Valkenburg and Peter, 2013;Beyens et al, 2020). The current research considers two individual differences that are relevant for emerging adult development, but have yet to be experimentally explored as moderators in the link between passive browsing and well-being: feedback seeking and the fear of missing out (FoMO).…”
Section: Individual Differencesmentioning
confidence: 99%
“…Since social media and the way that adolescents use it are changing constantly, the measures to be used in future studies should be more precise, ideally objective. Future studies could examine, for instance, how these longitudinal associations translate into short-term effects with data derived via experience sampling method or ecological momentary assessment [ 75 , 76 ].…”
Section: Discussionmentioning
confidence: 99%
“…If and how this pattern varies across these important between-subjects dimensions should be addressed in future research. Further, by focusing on total daily time as the unit of analysis for smartphone use, we may be masking more fine-grained effects of application type and usage patterns—including differential effects of active communication/information-gathering and more passive browsing styles on mood [ 54 57 ]. Under our chosen analysis framework, effects that occur at faster timescale will be classified as contemporaneous effects, and effects which occur over substantially longer timescales may be incorporated into between-subjects variance [ 20 , 34 ].…”
Section: Discussionmentioning
confidence: 99%