Social Network Usage and the Risk of NEET Status: Exploring Gender as a Moderator

Pham Ngoc Thien Nguyen

doi:10.58230/josse.v2i2.305

Authors

Pham Ngoc Thien Nguyen An Giang University, Vietnam National University Ho Chi Minh City https://orcid.org/0000-0003-0246-5162

DOI:

https://doi.org/10.58230/josse.v2i2.305

Keywords:

Active Social Network Usage, Passive Social Network Usage, NEET Risk, Gender Differences, Undergraduates, Social Media Consumption

Abstract

The increasing prevalence of social network usage has raised concerns among educators and policymakers regarding its potential impact on young people's employment and education status. This study examines the relationship between active social network usage (ASNU), passive social network usage (PSNU), and the risk of being Not in Employment, Education, or Training (NEET) among undergraduates, with a focus on gender differences. A cross-sectional survey was conducted among 523 undergraduates from universities in Vietnam using both online (Google Forms) and paper-and-pencil data collection methods. Data were analyzed to explore correlations and moderation effects. The findings indicate that higher ASNU and PSNU are associated with an increased risk of NEET status. While gender did not significantly moderate this relationship among male students, a moderating effect was observed among female students. These results highlight the importance of understanding social media consumption patterns in addressing NEET risk. Policymakers and educators should consider gender-specific interventions to mitigate the potential negative impacts of social network usage on students' career and educational outcomes.

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References

Alwagait, E., Shahzad, B., & Alim, S. (2015). Impact of social media usage on students academic performance in Saudi Arabia. Computers in Human Behavior, 51, 1092-1097. https://doi.org/https://doi.org/10.1016/j.chb.2014.09.028

Arafat, T., & Hamamra, B. (2021). Gender and word elongation in Facebook-mediated communication in Palestinian Arabic. Communication Research and Practice, 7(3), 221-242. https://doi.org/10.1080/22041451.2021.1958467

Ayalew, M., & Zewdie, S. (2022). What Factors Determine the Online Consumer Behavior in This Digitalized World? A Systematic Literature. Human behavior and emerging technologies, 2022, 1298378. https://doi.org/10.1155/2022/1298378

Baggio, S., Iglesias, K., Deline, S., Studer, J., Henchoz, Y., Mohler-Kuo, M., & Gmel, G. (2015). Not in Education, Employment, or Training Status Among Young Swiss Men. Longitudinal Associations With Mental Health and Substance Use. Journal of Adolescent Health, 56(2), 238-243. https://doi.org/https://doi.org/10.1016/j.jadohealth.2014.09.006

Bandura, A. (1986). Social foundations of thought and action: A social cognitive theory. Prentice-Hall, Inc.

Block, M., Stern, D., Raman, K., Lee, S., Carey, J., Humphreys, A., . . . Breiter, H. (2014). The relationship between self-report of depression and media usage. Frontiers in human neuroscience, 8, 712. https://doi.org/10.3389/fnhum.2014.00712

Bosmans, M. W. G., & Van der Velden, P. G. (2018). The Effect of Employment Status in Postdisaster Recovery: A Longitudinal Comparative Study Among Employed and Unemployed Affected Residents. JOURNAL OF TRAUMATIC STRESS, 31(3), 460-466. https://doi.org/10.1002/jts.22282

Branley-Bell, D., Coventry, L., Dixon, M., Joinson, A., & Briggs, P. (2022). Exploring Age and Gender Differences in ICT Cybersecurity Behaviour. Human behavior and emerging technologies, 2022, 2693080. https://doi.org/10.1155/2022/2693080

Chae, J. (2018). Explaining Females' Envy Toward Social Media Influencers. MEDIA PSYCHOLOGY, 21(2), 246-262. https://doi.org/10.1080/15213269.2017.1328312

Chen, W., Fan, C.-Y., Liu, Q.-X., Zhou, Z.-K., & Xie, X.-C. (2016). Passive social network site use and subjective well-being: A moderated mediation model. Computers in Human Behavior, 64, 507-514. https://doi.org/10.1016/j.chb.2016.04.038

Cheng, W., Nguyen, P. N. T., & Nguyen, N. D. (2023). How active/passive social network usage relates to academic performance among high school students in Taiwan. Educ Inf Technol. https://doi.org/10.1007/s10639-023-12254-x

Chhatwani, M., Mishra, S. K., & Rai, H. (2022). Active and passive social media usage and depression among the elderly during COVID-19: does race matter? Behaviour & Information Technology, 1-12. https://doi.org/10.1080/0144929X.2022.2045359

Dailey, S., Howard, K., Roming, S., Ceballos, N., & Grimes, T. (2020). A biopsychosocial approach to understanding social media addiction. Human behavior and emerging technologies, 2. https://doi.org/10.1002/hbe2.182

De Luca, G., Mazzocchi, P., Quintano, C., & Rocca, A. (2020). Going Behind the High Rates of NEETs in Italy and Spain: The Role of Early School Leavers. Social Indicators Research, 151(1), 345-363. https://doi.org/10.1007/s11205-020-02370-3

Ding, N. N., & Xu, Z. K. (2023). China Adolescents Comparisons on Social Media and Emotional Eating: A Moderated Analysis. CHILD AND ADOLESCENT SOCIAL WORK JOURNAL, 40(1), 107-117. https://doi.org/10.1007/s10560-021-00750-3

Ding, Q., Zhang, Y.-X., Wei, H., Huang, F., & Zhou, Z.-K. (2017). Passive social network site use and subjective well-being among Chinese university students: A moderated mediation model of envy and gender. Personality and Individual Differences, 113, 142-146. https://doi.org/https://doi.org/10.1016/j.paid.2017.03.027

Dixon, S. (2022a). Distribution of worldwide social media users in 2022, by region. https://www.statista.com/statistics/295619/regional-distribution-of-social-media-users-worldwide/

Dixon, S. (2022b). Facebook: number of daily active users worldwide 2011-2022. https://www.statista.com/statistics/346167/facebook-global-dau/

Durak, H. Y. (2020). Modeling of variables related to problematic internet usage and problematic social media usage in adolescents. Current Psychology, 39(4), 1375-1387. https://doi.org/10.1007/s12144-018-9840-8

Escobar-Viera, C. G., Shensa, A., Bowman, N. D., Sidani, J. E., Knight, J., James, A. E., & Primack, B. A. (2018). Passive and Active Social Media Use and Depressive Symptoms Among United States Adults. Cyberpsychol Behav Soc Netw, 21(7), 437-443. https://doi.org/10.1089/cyber.2017.0668

Feuls, M., Fieseler, C., & Suphan, A. (2014). A social net? Internet and social media use during unemployment. WORK EMPLOYMENT AND SOCIETY, 28(4), 551-570. https://doi.org/10.1177/0950017013519846

Fieseler, C., Meckel, M., & Müller, S. (2014). With a little help of my peers. The supportive role of online contacts for the unemployed. Computers in Human Behavior, 41, 164-176. https://doi.org/10.1016/j.chb.2014.09.017

Frison, E., & Eggermont, S. (2016). Exploring the relationships between different types of Facebook use, perceived online social support, and adolescents’ depressed mood. Social Science Computer Review, 34(2), 153-171. https://doi.org/10.1177/0894439314567449

Frison, E., & Eggermont, S. (2017). Browsing, Posting, and Liking on Instagram: The Reciprocal Relationships Between Different Types of Instagram Use and Adolescents' Depressed Mood. Cyberpsychology, Behavior, and Social Networking, 20, 603-609. https://doi.org/10.1089/cyber.2017.0156

Hanna, E., Ward, L. M., Seabrook, R. C., Jerald, M., Reed, L., Giaccardi, S., & Lippman, J. R. (2017). Contributions of Social Comparison and Self-Objectification in Mediating Associations Between Facebook Use and Emergent Adults' Psychological Well-Being. Cyberpsychol Behav Soc Netw, 20(3), 172-179. https://doi.org/10.1089/cyber.2016.0247

Hayes, A. F. (2013). Introduction to mediation, moderation, and conditional process analysis: A regression-based approach. New York: The Guilford Press.

Henderson, J. L., Hawke, L. D., & Chaim, G. (2017). Not in employment, education or training: Mental health, substance use, and disengagement in a multi-sectoral sample of service-seeking Canadian youth. Children and Youth Services Review, 75, 138-145. https://doi.org/https://doi.org/10.1016/j.childyouth.2017.02.024

Junco, R. (2012). Too much face and not enough books: The relationship between multiple indices of Facebook use and academic performance. Computers in Human Behavior, 28(1), 187-198. https://doi.org/https://doi.org/10.1016/j.chb.2011.08.026

Junco, R., & Cotten, S. R. (2012). No A 4 U: The relationship between multitasking and academic performance. Computers & Education, 59(2), 505-514. https://doi.org/https://doi.org/10.1016/j.compedu.2011.12.023

Kocsel, N., Horváth, Z., Reinhardt, M., Szabó, E., & Kökönyei, G. (2022). Nonproductive thoughts, somatic symptoms and well-being in adolescence: testing the moderator role of age and gender in a representative study. Heliyon, 8(6), e09688. https://doi.org/https://doi.org/10.1016/j.heliyon.2022.e09688

Krasnova, H., Wenninger, H., Widjaja, T., & Buxmann, P. (2013). Envy on Facebook: A Hidden Threat to Users’ Life Satisfaction?

Lau, W. W. F. (2017). Effects of social media usage and social media multitasking on the academic performance of university students. Computers in Human Behavior, 68, 286-291. https://doi.org/10.1016/j.chb.2016.11.043

Mawn, L., Oliver, E., Akhter, N., Bambra, C., Torgerson, C., Bridle, C., & Stain, H. (2017). Are we failing young people not in employment, education or training (NEETs)? A systematic review and meta-analysis of re-engagement interventions. Systematic Reviews, 6. https://doi.org/10.1186/s13643-016-0394-2

Müller, S., Fieseler, C., Meckel, M., & Suphan, A. (2018). Time Well Wasted? Online Procrastination During Times of Unemployment. Social Science Computer Review, 36(3), 263-276. https://doi.org/10.1177/0894439317715716

Nguyen, N. D., & Cheng, W. (2022). A moderated mediation model of the relationship between passive social network usages and life satisfaction. Psychology of Popular Media, No Pagination Specified-No Pagination Specified. https://doi.org/10.1037/ppm0000427

OECD. (2016). The NEET challenge: What can be done for jobless and disengaged youth? https://doi.org/doi:https://doi.org/10.1787/soc_glance-2016-4-en

OECD. (2021). Youth not in employment, education or training (NEET). https://data.oecd.org/youthinac/youth-not-in-employment-education-or-training-neet.htm

Olfat, M., Shokouhyar, S., Ahmadi, S., & Ghaderi, S. M. M. (2023). Organizational members' use of online social networks and their job satisfaction: a social cognitive perspective. KYBERNETES, 52(1), 1-23. https://doi.org/10.1108/K-05-2021-0383

Parker, P., Allen, K. A., Parker, R., Guo, J. S., Marsh, H. W., Basarkod, G., & Dicke, T. (2022). School Belonging Predicts Whether an Emerging Adult Will Be Not in Education, Employment, or Training (NEET) After School. Journal of Educational Psychology, 114(8), 1881-1894. https://doi.org/10.1037/edu0000733

Plenty, S., Magnusson, C., & Låftman, S. B. (2021). Internalising and externalising problems during adolescence and the subsequent likelihood of being Not in Employment, Education or Training (NEET) among males and females: The mediating role of school performance. SSM - Population Health, 15, 100873. https://doi.org/https://doi.org/10.1016/j.ssmph.2021.100873

Rodríguez-Modroño, P. (2019). Youth unemployment, NEETs and structural inequality in Spain. International Journal of Manpower, 40. https://doi.org/10.1108/IJM-03-2018-0098

Rodwell, L., Romaniuk, H., Nilsen, W., Carlin, J. B., Lee, K. J., & Patton, G. C. (2018). Adolescent mental health and behavioural predictors of being NEET: a prospective study of young adults not in employment, education, or training. Psychol Med, 48(5), 861-871. https://doi.org/10.1017/s0033291717002434

Sadler, K., Akister, J., & Burch, S. (2014). Who are the young people who are not in education, employment or training? An application of the risk factors to a rural area in the UK. International Social Work, 58. https://doi.org/10.1177/0020872813515010

Samra, A., Warburton, W. A., & Collins, A. M. (2022). Social comparisons: A potential mechanism linking problematic social media use with depression. JOURNAL OF BEHAVIORAL ADDICTIONS, 11(2), 607-614. https://doi.org/10.1556/2006.2022.00023

Seabrook, E. M., Kern, M. L., & Rickard, N. S. (2016). Social Networking Sites, Depression, and Anxiety: A Systematic Review. JMIR Ment Health, 3(4), e50. https://doi.org/10.2196/mental.5842

Sharifian, N., Zaheed, A. B., & Zahodne, L. B. (2022). The Role of Envy in Linking Active and Passive Social Media use to Memory Functioning. Psychol Pop Media Cult, 11(1), 80-89. https://doi.org/10.1037/ppm0000318

Taber, K. (2018). The Use of Cronbach’s Alpha When Developing and Reporting Research Instruments in Science Education. Research in Science Education, 48, 1-24. https://doi.org/https://doi.org/10.1007/s11165-016-9602-2

Takahashi, M., Morita, S., & Ishidu, K. (2015). stigma and mental health in japanese unemployed individuals. Journal of Employment Counseling, 52(1), 18-28. https://doi.org/10.1002/j.2161-1920.2015.00053.x

Tandoc, E., Ferrucci, P., & Duffy, M. (2015). Facebook use, envy, and depression among college students: Is Facebooking depressing? Computers in Human Behavior, 43, 139-146. https://doi.org/10.1016/j.chb.2014.10.053

Tayfur, S. N., Prior, S., Roy, A. S., Maciver, D., Forsyth, K., & Fitzpatrick, L. I. (2022). Associations between Adolescent Psychosocial Factors and Disengagement from Education and Employment in Young Adulthood among Individuals with Common Mental Health Problems. J Youth Adolesc, 51(7), 1397-1408. https://doi.org/10.1007/s10964-022-01592-7

Thorisdottir, I., Sigurvinsdottir, R., Asgeirsdottir, B., Allegrante, J., & Sigfusdottir, I. (2019). Active and Passive Social Media Use and Symptoms of Anxiety and Depressed Mood Among Icelandic Adolescents. Cyberpsychology, Behavior, and Social Networking, 22. https://doi.org/10.1089/cyber.2019.0079

Uchida, Y., & Norasakkunkit, V. (2015). The NEET and Hikikomori spectrum: Assessing the risks and consequences of becoming culturally marginalized. Front Psychol, 6(1117). https://doi.org/10.3389/fpsyg.2015.01117

Veldman, K., van Zon, S. K. R., & Bültmann, U. (2024). Once in NEET, always in NEET? Childhood and adolescent risk factors for different NEET patterns. European Journal of Public Health, ckae025. https://doi.org/10.1093/eurpub/ckae025

Verduyn, P., Gugushvili, N., & Kross, E. (2021). 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

Verduyn, P., Lee, D. S., Park, J., Shablack, H., Orvell, A., Bayer, J., Ybarra, O., Jonides, J., & Kross, E. (2015). Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence. Journal of Experimental Psychology: General, 144(2), 480–488. https://doi.org/10.1037/xge0000057

Wang, H.-Z., Yang, T.-T., Gaskin, J., & Wang, J.-L. (2019). The longitudinal association between passive social networking site usage and depressive symptoms: The mediating role of envy and moderating role of life satisfaction. Journal of Social and Clinical Psychology, 38(3), 181-199. https://doi.org/10.1521/jscp.2019.38.3.181

Xiang, Y., Dong, X., & Zhao, J. (2020). Effects of Envy on Depression: The Mediating Roles of Psychological Resilience and Social Support. Psychiatry Investig, 17(6), 547-555. https://doi.org/10.30773/pi.2019.0266

Xiong, A. L., Li, H. Y., Westlund, H., & Pu, Y. J. (2017). Social networks, job satisfaction and job searching behavior in the Chinese labor market. CHINA ECONOMIC REVIEW, 43, 1-15. https://doi.org/10.1016/j.chieco.2017.01.001

Yue, Y. J., & Tang, H. J. (2024). Happy being me: unraveling the effect process of appearance-related social media exposure on body esteem among females with varying levels of trait self-objectification. Current Psychology. https://doi.org/10.1007/s12144-024-06655-5

Zhang, X.-X., Rost, D. H., Wang, J.-L., & Reynolds, K. J. (2020). Active and Passive Social Networking Sites Usage and Negative Emotions: A Reciprocal Relationship? Journal of Social and Clinical Psychology, 39(3), 195-213. https://doi.org/10.1521/jscp.2020.39.3.195