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Diversity of social media use: Self-selection explains associations between using many platforms and well-being.
Lohmann, Sophie; Zagheni, Emilio.
Afiliação
  • Lohmann S; Department of Digital and Computational Demography, Max Planck Institute for Demographic Research, Rostock, Germany.
  • Zagheni E; Department of Digital and Computational Demography, Max Planck Institute for Demographic Research, Rostock, Germany.
PLOS Digit Health ; 2(7): e0000292, 2023 Jul.
Article em En | MEDLINE | ID: mdl-37440481
Many people engage with a diverse array of social media platforms, raising concerns that this diversity of platforms may be linked to negative affect, hypothesized to arise from multitasking or identify diffusion. Using a large representative sample (N = 1,372) of US adults from the authoritative General Social Survey, we examine associations between social media diversity and well-being and propose a self-selection explanation for these associations. Even without accounting for selection bias, we find few and only small associations. Importantly, after using a rigorous propensity-score weighting technique to adjust for selection bias, these associations disappear. Further, we also document few negative associations between the use of specific social media platforms and well-being. Our findings suggest that (i) diverse social media use is not a major risk factor to adult well-being; (ii) negative correlations reported in the literature may be spurious; (iii) technology use research needs to take self-selection biases seriously.

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLOS Digit Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha

Texto completo: 1 Bases de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLOS Digit Health Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Alemanha