From Motives to Perceived Social Impact: Active and Passive Social Media Use, Digital Literacy, and Neuroticism in Pakistan

Syed Faheem Haider Zaidi; Momina Maitla; Adeel Younis

doi:10.54938/ijemd-ss.2026.05.6.916

Authors

Syed Faheem Haider Zaidi The Superior University, Lahore, Pakistan
Momina Maitla The Superior University, Lahore, Pakistan
Adeel Younis The Superior University, Lahore, Pakistan

DOI:

https://doi.org/10.54938/ijemd-ss.2026.05.6.916

Keywords:

social media, active use, passive use, digital literacy, neuroticism, social impact, Pakistan, mediation

Abstract

Background

Debating social media tends to focus on the amount of time spent on it, or to label it as a one-size-fits-all good or bad. These narratives fail to address the reasons for using social media, activities during online use, and differences in perceived outcomes as a result of personal resources and vulnerabilities.

Objective

The dual-pathway model was tested in this study: motivation for social media use was related to positive and negative social impact via active connected and passive comparative use, respectively. The digital literacy and the neuroticism were investigated as possible moderators.

Method

The cross-sectional online survey was conducted from 4th May to 21st July 2026, and resulted in 339 full responses from adults in Pakistan who use social media. 43 five-point Likert items were used to measure seven constructs. A hierarchical ordinary least squares regressions adjusted for age, gender, education, daily use time and platform use. The indirect effects were assessed using 5,000 bootstraps resample and the interaction terms tested moderation.

Results

The internal consistency of all the seven scales was excellent (Cronbach's alpha ranged from .806 - .868), except for the scale of motivation, which was not very convergent. The modified positive impact model accounted for 46.3% of the variance. Motivation (B = .507, p < .001), active connected use (B = .245, p < .001), and digital literacy (B = .163, p = .001) were significant positive predictors. The model of negative-impacts, modified, accounted for 35.4% of the variance, and neuroticism was the only focal significant predictor (B = .473, p < .001). The indirect association between motivation and positive impact was significant and large, and was mediated by active use (indirect effect = .080, 95% bootstrap CI [.035, .131]). There was also a strong indirect effect in the specified model for passive use (indirect effect = .112, 95% CI [.049, .183]), but no indirect effect after the inclusion of neuroticism. Both interactions were not significant. Demographic/platform comparisons were not found to survive multiplicity corrections.

Conclusion

The results corroborate the activity and person sensitive perspective on social media. The connected participation and digital competence were linked to positive impacts, while negative impacts tended to be more associated with psychological vulnerability than to passive use. The cross-sectional and exploratory measurement design needs to be interpreted with caution, but the results suggest that recommendations that are solely based on screen time or an active-passive dichotomy cannot be made.

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References

[1] Ali, A., & Qazi, I. A. (2022). Digital literacy and vulnerability to misinformation: Evidence from Facebook users in Pakistan. Journal of Quantitative Description: Digital Media, 2. https://doi.org/10.51685/jqd.2022.025

[2] Ali, A., & Qazi, I. A. (2023). Countering misinformation on social media through educational interventions: Evidence from a randomized experiment in Pakistan. Journal of Development Economics, 163, 103108. https://doi.org/10.1016/j.jdeveco.2023.103108

[3] Bhatiasevi, V. (2024). The uses and gratifications of social media and their impact on social relationships and psychological well-being. Frontiers in Psychiatry, 15, 1260565. https://doi.org/10.3389/fpsyt.2024.1260565

[4] Bowden-Green, T., Hinds, J., & Joinson, A. (2021). Understanding neuroticism and social media: A systematic review. Personality and Individual Differences, 168, 110344. https://doi.org/10.1016/j.paid.2020.110344

[5] Braghieri, L., Levy, R., & Makarin, A. (2022). Social media and mental health. American Economic Review, 112(11), 3660–3693. https://doi.org/10.1257/aer.20211218

[6] Digital Rights Foundation. (2025). Digital security helpline annual report 2024. https://digitalrightsfoundation.pk/wp-content/uploads/2025/04/Digital-Security-Helpline-Annual-Report-2024-1.pdf

[7] Dilawar, S., Liang, G., Elahi, M. Z., Abbasi, A. Z., Shahani, R., & Gonlepa, M. K. (2022). Interpreting the impact of extraversion and neuroticism on social media addiction among university students of Pakistan: A mediated and moderated model. Acta Psychologica, 230, 103764. https://doi.org/10.1016/j.actpsy.2022.103764

[8] Falgoust, G., Winterlind, E., Moon, P., Parker, A., Zinzow, H., & Madathil, K. C. (2022). Applying the uses and gratifications theory to identify motivational factors behind young adults’ participation in viral social media challenges on TikTok. Human Factors in Healthcare, 2, 100014. https://doi.org/10.1016/j.hfh.2022.100014

[9] Giancola, D., Travers, R., & Coulombe, S. (2023). Scrolling through the COVID-19 pandemic: Exploring the perceived effects of increased social media use on the mental health of undergraduate university students. Social Media + Society, 9(2). https://doi.org/10.1177/20563051231177970

[10] Godard, R., & Holtzman, S. (2024). Are active and passive social media use related to mental health, well-being, and social support outcomes? A meta-analysis of 141 studies. Journal of Computer-Mediated Communication, 29(1), zmad055. https://doi.org/10.1093/jcmc/zmad055

[11] Gugushvili, N., Taht, K., Ruiter, R. A. C., & Verduyn, P. (2022). Facebook use intensity and depressive symptoms: A moderated mediation model of problematic Facebook use, age, neuroticism, and extraversion. BMC Psychology, 10, 279. https://doi.org/10.1186/s40359-022-00990-7

[12] Hair, J. F., Hult, G. T. M., Ringle, C. M., & Sarstedt, M. (2022). A primer on partial least squares structural equation modeling (PLS-SEM) (3rd ed.). Sage.

[13] Han, Y., & Yang, F. (2023). Will using social media benefit or harm users’ self-esteem? It depends on perceived relational-closeness. Social Media + Society, 9(4). https://doi.org/10.1177/20563051231203680

[14] Heiss, R., Nanz, A., & Matthes, J. (2023). Social media information literacy: Conceptualization and associations with information overload, news avoidance and conspiracy mentality. Computers in Human Behavior, 148, 107908. https://doi.org/10.1016/j.chb.2023.107908

[15] Howard, M. C., Boudreaux, M., & Oglesby, M. T. (2024). Can Harman’s single-factor test reliably distinguish between research designs? Not in published management studies. European Journal of Work and Organizational Psychology, 33, 790–804. https://doi.org/10.1080/1359432X.2024.2393462

[16] Irmer, A., & Schmiedek, F. (2023). Associations between youth’s daily social media use and well-being are mediated by upward comparisons. Communications Psychology, 1, 12. https://doi.org/10.1038/s44271-023-00013-0

[17] Kemp, S. (2025, November 8). Digital 2026: Pakistan. DataReportal. https://datareportal.com/reports/digital-2026-pakistan

[18] Kline, R. B. (2023). Principles and practice of structural equation modeling (5th ed.). Guilford Press.

[19] Marciano, L., Lin, J., Sato, T., Saboor, S., & Viswanath, K. (2024). Does social media use make us happy? A meta-analysis on social media and positive well-being outcomes. SSM - Mental Health, 6, 100331. https://doi.org/10.1016/j.ssmmh.2024.100331

[20] Meynadier, J., Malouff, J. M., Schutte, N. S., & Loi, N. M. (2024). Meta-analysis of associations between five-factor personality traits and problematic social media use. Current Psychology, 43, 23016–23035. https://doi.org/10.1007/s12144-024-06052-y

[21] Podsakoff, P. M., Podsakoff, N. P., Williams, L. J., Huang, C., & Yang, J. (2024). Common method bias: It’s bad, it’s complex, it’s widespread, and it’s not easy to fix. Annual Review of Organizational Psychology and Organizational Behavior, 11, 17–61. https://doi.org/10.1146/annurev-orgpsych-110721-040030

[22] Polanco-Levican, K., & Salvo-Garrido, S. (2022). Understanding social media literacy: A systematic review of the concept and its competences. International Journal of Environmental Research and Public Health, 19(14), 8807. https://doi.org/10.3390/ijerph19148807

[23] Romero Saletti, S. M., Van den Broucke, S., & Van Beggelaer, W. (2022). Understanding motives, usage patterns and effects of Instagram use in youths: A qualitative study. Emerging Adulthood, 10(6), 1376–1394. https://doi.org/10.1177/21676968221114251

[24] Santini, Z. I., Thygesen, L. C., Andersen, S., Tolstrup, J. S., Koyanagi, A., Nielsen, L., Meilstrup, C., Koushede, V., & Ekholm, O. (2025). Social media addiction predicts compromised mental health as well as perceived and objective social isolation in Denmark: A longitudinal analysis of a nationwide survey linked to register data. International Journal of Mental Health and Addiction, 23, 3136–3153. https://doi.org/10.1007/s11469-024-01283-3

[25] Shahzad, S., & Omar, B. (2021). Social network matters: The influence of online social capital on youth political participation in Pakistan. Journal of Information Technology & Politics, 18(4), 430–442. https://doi.org/10.1080/19331681.2021.1900018

[26] Trieu, P., Ellison, N. B., Schoenebeck, S. Y., & Brewer, R. N. (2021). Implications of Facebook engagement types and feed’s social content for self-esteem via social comparison processes. Social Media + Society, 7(3). https://doi.org/10.1177/20563051211042400

[27] Valkenburg, P. M., van Driel, I. I., & Beyens, I. (2022). The associations of active and passive social media use with well-being: A critical scoping review. New Media & Society, 24(2), 530–549. https://doi.org/10.1177/14614448211065425

[28] Valle, N., Zhao, P., Freed, D., Gorton, K., Chapman, A. B., Shea, A. L., & Bazarova, N. N. (2025). Towards a critical framework of social media literacy: A systematic literature review. Review of Educational Research, 95(4). https://doi.org/10.3102/00346543241247224

[29] Verduyn, P., Gugushvili, N., & Kross, E. (2022). Do social networking sites influence well-being? The extended active-passive model. Current Directions in Psychological Science, 31(1), 62–68. https://doi.org/10.1177/09637214211053637

[30] Wu, P., Feng, R., & Zhang, J. (2024). The relationship between loneliness and problematic social media usage in Chinese university students: A longitudinal study. BMC Psychology, 12, 13. https://doi.org/10.1186/s40359-023-01498-4

[31] Zhang, S., Wu, Q., & Liu, R. (2023). The relationship between neuroticism and passive use of mobile social networks among Chinese young adults: The mediating role of fear of missing out and online social support. Acta Psychologica, 236, 103919. https://doi.org/10.1016/j.actpsy.2023.103919

[32] Ziapour, A., Malekzadeh, R., Darabi, F., Yildirim, M., Montazeri, N., Kianipour, N., & Nejhaddadgar, N. (2024). The role of social media literacy in infodemic management: A systematic review. Frontiers in Digital Health, 6, 1277499. https://doi.org/10.3389/fdgth.2024.1277499