Cross-platform- and subgroup-differences in the well-being effects of Twitter, Instagram, and Facebook in the United States

被引:4
|
作者
Jaidka, Kokil [1 ]
机构
[1] Natl Univ Singapore, Dept Commun & New Media, Singapore, Singapore
关键词
SOCIAL NETWORKING SITES; DEPRESSIVE SYMPTOMS; MEDIA USE; SELF-DISCLOSURE; MENTAL-HEALTH; COMMUNICATION; USAGE; ASSOCIATIONS; ADOLESCENTS; SUPPORT;
D O I
10.1038/s41598-022-07219-y
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Spatial aggregates of survey and web search data make it possible to identify the heterogeneous well-being effects of social media platforms. This study reports evidence from different sources of longitudinal data that suggests that the well-being effects of social media differ across platforms and population groups. The well-being effects of frequent social media visits are consistently positive for Facebook but negative for Instagram. Group-level analyses suggest that the positive well-being effects are experienced mainly by white, high-income populations at both the individual and the county level, while the adverse effects of Instagram use are observed on younger and Black populations. The findings are corroborated when geocoded web search data from Google is used and when self-reports from surveys are used in place of region-level aggregates. Greater Instagram use in regions is also linked to higher depression diagnoses across most sociodemographic groups.
引用
收藏
页数:11
相关论文
共 50 条
  • [21] Help-Seeking Tendencies and Subjective Well-Being: A Cross-Cultural Comparison of the United States and Japan
    Lua, Verity Y. Q.
    Majeed, Nadyanna M.
    Hartanto, Andree
    Leung, Angela K-Y
    [J]. SOCIAL PSYCHOLOGY QUARTERLY, 2022, 85 (02) : 164 - 186
  • [22] Examining Cross-Cultural Relationships Between Meaning in Life and Psychological Well-Being in Turkey and the United States
    Ian C. Fischer
    Ekin Secinti
    Zeynep Cemalcilar
    Kevin L. Rand
    [J]. Journal of Happiness Studies, 2021, 22 : 1341 - 1358
  • [23] The Impact of Social Norms on Hybrid Workers' Well-Being: A Cross-Cultural Comparison of Japan and the United States
    Akahori, Wataru
    Yamashita, Naomi
    Jamieson, Jack
    Nakatani, Momoko
    Hashimoto, Ryo
    Watanabe, Masahiro
    [J]. PROCEEDINGS OF THE 2024 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYTEMS, CHI 2024, 2024,
  • [24] A CROSS-CULTURAL-STUDY OF THE SUBJECTIVE WELL-BEING OF MARRIED ELDERLY PERSONS IN THE UNITED-STATES AND INDIA
    VENKATRAMAN, MM
    [J]. JOURNALS OF GERONTOLOGY SERIES B-PSYCHOLOGICAL SCIENCES AND SOCIAL SCIENCES, 1995, 50 (01): : S35 - S44
  • [25] Subjective well-being: gender differences in Holocaust survivors-specific and cross-national effects
    Carmel, Sara
    King, David B.
    O'Rourke, Norm
    Bachner, Yaacov G.
    [J]. AGING & MENTAL HEALTH, 2017, 21 (06) : 668 - 675
  • [26] GENDER DIFFERENCES IN SAILOR WELL-BEING, SLEEP-RELATED BEHAVIORS, AND PSYCHOMOTOR VIGILANCE PERFORMANCE IN THE UNITED STATES NAVY
    Shattuck, N. L.
    Matsangas, P.
    [J]. SLEEP, 2020, 43 : A313 - A313
  • [27] Social Media Use, Body Image, and Psychological Well-Being: A Cross-Cultural Comparison of Korea and the United States
    Lee, Hye-Ryeon
    Lee, Hye Eun
    Choi, Jounghwa
    Kim, Jang Hyun
    Han, Hae Lin
    [J]. JOURNAL OF HEALTH COMMUNICATION, 2014, 19 (12) : 1343 - 1358
  • [28] Marriage and Children as a Key to Happiness? Cross-National Differences in the Effects of Marital Status and Children on Well-Being
    Vanassche, Sofie
    Swicegood, Gray
    Matthijs, Koen
    [J]. JOURNAL OF HAPPINESS STUDIES, 2013, 14 (02) : 501 - 524
  • [29] Marriage and Children as a Key to Happiness? Cross-National Differences in the Effects of Marital Status and Children on Well-Being
    Sofie Vanassche
    Gray Swicegood
    Koen Matthijs
    [J]. Journal of Happiness Studies, 2013, 14 : 501 - 524
  • [30] Consistencies and Differences Across States in the Well-Being of Non-Hispanic White, Hispanic and Non-Hispanic Black Children in the United States
    William P. O’Hare
    [J]. Child Indicators Research, 2016, 9 : 1117 - 1137