Anne J. Maheux, Chelly Maes, Kaitlyn Burnell, Daniel J. Bauer, Mitchell J. Prinstein, Eva H. Telzer
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To support this approach, we call for the development of psychometrically rigorous self-report scales to measure affective and cognitive social media experiences and for innovative behavioral observation techniques. Second, research that considers specific online experiences typically focuses on one in isolation. We argue that a holistic, interactionist approach to understanding human development requires integrating the numerous positive and negative online experiences that co-occur in distinct patterns for diverse adolescents. We discuss the merits of mixture models as one potential analytic solution to address configurations of online experiences and systematically model heterogeneity among youth. These conceptual and methodological shifts can lead to targeted interventions and policies that recognize the interactive effects of digital experiences.","PeriodicalId":8250,"journal":{"name":"Annals of the New York Academy of Sciences","volume":"38 1","pages":""},"PeriodicalIF":4.1000,"publicationDate":"2025-03-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Social media are many things: Addressing the components and patterns of adolescent social media use\",\"authors\":\"Anne J. Maheux, Chelly Maes, Kaitlyn Burnell, Daniel J. Bauer, Mitchell J. Prinstein, Eva H. Telzer\",\"doi\":\"10.1111/nyas.15326\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Adolescent development is increasingly shaped by social media contexts, with implications for well-being. In this commentary, we discuss and present conceptual and methodological alternatives for two persistent limitations in prior research. First, most prior work measures screen time, implicitly treating social media as a monolith. Emerging research highlights that social media are multifaceted environments where youth encounter diverse experiences. We advocate for more work taking this nuanced approach and for the development of a comprehensive taxonomic framework that categorizes specific online experiences afforded by social media features and content. To support this approach, we call for the development of psychometrically rigorous self-report scales to measure affective and cognitive social media experiences and for innovative behavioral observation techniques. Second, research that considers specific online experiences typically focuses on one in isolation. We argue that a holistic, interactionist approach to understanding human development requires integrating the numerous positive and negative online experiences that co-occur in distinct patterns for diverse adolescents. We discuss the merits of mixture models as one potential analytic solution to address configurations of online experiences and systematically model heterogeneity among youth. 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Social media are many things: Addressing the components and patterns of adolescent social media use
Adolescent development is increasingly shaped by social media contexts, with implications for well-being. In this commentary, we discuss and present conceptual and methodological alternatives for two persistent limitations in prior research. First, most prior work measures screen time, implicitly treating social media as a monolith. Emerging research highlights that social media are multifaceted environments where youth encounter diverse experiences. We advocate for more work taking this nuanced approach and for the development of a comprehensive taxonomic framework that categorizes specific online experiences afforded by social media features and content. To support this approach, we call for the development of psychometrically rigorous self-report scales to measure affective and cognitive social media experiences and for innovative behavioral observation techniques. Second, research that considers specific online experiences typically focuses on one in isolation. We argue that a holistic, interactionist approach to understanding human development requires integrating the numerous positive and negative online experiences that co-occur in distinct patterns for diverse adolescents. We discuss the merits of mixture models as one potential analytic solution to address configurations of online experiences and systematically model heterogeneity among youth. These conceptual and methodological shifts can lead to targeted interventions and policies that recognize the interactive effects of digital experiences.
期刊介绍:
Published on behalf of the New York Academy of Sciences, Annals of the New York Academy of Sciences provides multidisciplinary perspectives on research of current scientific interest with far-reaching implications for the wider scientific community and society at large. Each special issue assembles the best thinking of key contributors to a field of investigation at a time when emerging developments offer the promise of new insight. Individually themed, Annals special issues stimulate new ways to think about science by providing a neutral forum for discourse—within and across many institutions and fields.