loneliness and social media

Overview of Social Media Use and Loneliness

  • Empirical Research Context: The relationship between social media use (SMU) and reported loneliness has become increasingly concerning as access to social media expands.

  • Research Findings: Despite increased time on social media, reported loneliness and dissatisfaction with social connections continue to rise (Primack et al., 2017; U.S. Surgeon General’s Advisory, 2023).

  • Fundamental Human Need: Feeling connected with others is a fundamental human need, highlighting the distress caused by loneliness (Baumeister & Leary, 1995).

Definitions and Statistics on Loneliness

  • Definitions:

    • Loneliness is defined as the “distressing experience that results from perceived isolation or unmet needs between an individual’s preferred and actual experience” (U.S. Surgeon General’s Advisory, 2023, p. 8).

  • Statistics:

    • 36% of Americans experienced serious loneliness in the past month.

    • 61% of young adults felt lonely frequently or almost all the time in the past 4 weeks (Weissbourd et al., 2021).

    • Longitudinal surveys show 58% of U.S. adults report feeling lonely, consistent with pre-pandemic levels (Cigna, 2021).

    • From 2003 to 2020, time spent socially engaging with friends decreased by 20 hours/month; overall social engagement decreased by 10 hours/month (U.S. Surgeon General’s Advisory, 2023).

Global Perspective on Loneliness

  • Meta-Analysis Findings: A meta-analysis reported that 24% of respondents across 142 countries felt very or fairly lonely (Maese, 2023), indicating that the "Epidemic of Loneliness" is a worldwide issue.

  • Health Implications:

    • Loneliness is associated with increased risks of health issues such as heart disease and stroke and exacerbates conditions such as anxiety and depression.

    • It's noted that a lack of social connections can be as harmful as smoking 15 cigarettes a day (U.S. Surgeon General’s Advisory, 2023).

Contributions of Present Study

  • Study Validation: This research builds upon a gap in longitudinal studies examining SMU’s impact on loneliness, specifically focusing on large, randomly selected, nationally representative samples.

  • Sample Size: The study includes 6,965 Dutch adults surveyed over nine years, providing robust data compared to many past studies.

  • Focus on Usage Type: It distinguishes between active social media use (ASMU) and passive social media use (PSMU) regarding their effects on loneliness.

  • Bidirectional Relationship Investigation: The research also explores whether loneliness leads to increased social media use, representing a bidirectional influence.

Conceptual Framework of Social Media Usage

  • Active vs Passive Use Definitions:

    • ASMU involves engaging with content (posting, liking, commenting).

    • PSMU involves passive consumption of content (viewing without interaction).

  • Hypotheses:

    • PSMU is hypothesized to negatively affect well-being.

    • ASMU is presumed to positively relate to well-being (though results from this study challenge this assumption).

Literature Review on SMU and Well-Being

  • Mixed Findings: Research shows conflicting results regarding SMU’s effect on well-being, with some studies linking increased loneliness to more SMU, while others suggest positive outcomes when measuring relationship maintenance through SMU.

  • Studies Cited:

    • Fumagalli et al. (2021): Higher social media time is associated with greater loneliness.

    • Faulhaber et al. (2023): Reducing social media use lowers loneliness.

    • Meta-analysis by Kusumota et al. (2022): SMU may help decrease loneliness among older adults.

Methodology

  • The study leverages data from the Longitudinal Internet Studies for the Social Sciences (LISS) between 2014 and 2022, focusing on waves where SMU was measured.

  • Participants' Demographics: A total of 6,965 participants were included, with an average age of 49.67 years; various methods were used to collect and handle missing data, including predictive mean matching (PMM).

Analysis of Social Media Use and Loneliness

  • Modeling Techniques: Linear mixed-effects models were employed to analyze relationships over time considering individual variability.

  • Key Findings:

    • Higher levels of PSMU correspond to increased loneliness over time, supporting the PSMU hypothesis.

    • Increasing ASMU has also been linked to heightened loneliness, contradicting traditional assumptions of its benefits.

    • A bidirectional effect exists where both loneliness affects SMU and vice versa.

Results and Interpretation

  • Statistical Significance: Results revealed strong evidence supporting positive associations between both ASMU and PSMU with increased loneliness.

  • Implications: Results suggest that both forms of SMU may exacerbate feelings of loneliness, which has significant implications for mental health.

Limitations and Future Research Directions

  • The study had limitations including potential inaccuracies from self-reporting measures and a lack of control over the subjective nature of loneliness.

  • Future research should focus on establishing more reliable multi-item measures for assessing social media usage impact and explore different cultural contexts, as well as the effects of content type consumed on platforms.

Conclusion

  • The findings highlight the complex relationship between social media usage and loneliness, indicating that both active and passive uses of social media are associated with increased loneliness, underscoring that social media's intended role of fostering connections may inadvertently lead to more profound feelings of isolation.