Journals / Sportive / 2026 / Cilt: 9 Sayı: 2

Digital Tendency: The Relationship Between Social Media Craving and Leisure Internet Usage in Generation Z

Dijital Eğilim: Gen Z’de Sosyal Medya İsteği ve Boş Zaman İnternet Kullanımı Arasındaki İlişki

Sinan Erdem Satılmış(Yalova Üniversitesi Spor Bilimleri Fakültesi)0000-0002-1535-1669
Nurullah Emir Ekinci(YALOVA ÜNİVERSİTESİ, SPOR BİLİMLERİ FAKÜLTESİ)0000-0002-4526-4339
Journal
Sportive
Pages
340–360
Publication Date
2026-09-16
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Consequently, the findings suggest that social media craving is associated not only with the amount of time spent in digital environments but also with the motivational structure underlying digital leisure experiences.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:The aim of this study is to examine the relationship between social media craving and leisure internet usage among Generation Z individuals.
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Key Findings & Data:The study sample consisted of 521 university students enrolled at Yalova University who met the inclusion criterion of being born in or after 2000 and were recruited through criterion and convenience sampling methods.
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Conclusion & Impact:Consequently, the findings suggest that social media craving is associated not only with the amount of time spent in digital environments but also with the motivational structure underlying digital leisure experiences.
🔬Design:Survey & Empirical Study
📍Scope:2000 Verileri
⚙️Variables:Gen Z · Sosyal Medya · Aşerme

Abstract

The aim of this study is to examine the relationship between social media craving and leisure internet usage among Generation Z individuals. The study was conducted in accordance with the correlational survey model, one of the quantitative research methods. The study sample consisted of 521 university students enrolled at Yalova University who met the inclusion criterion of being born in or after 2000 and were recruited through criterion and convenience sampling methods. Personal Information Form, the Social Media Craving Scale (SMCS), and the Leisure Internet Usage Scale (LIUS) were used as data collection tools. Independent Samples T Test, ANOVA, MANOVA, Pearson correlation analysis and multiple linear Regression analysis were employed in the analysis of the data. According to the findings, female participants demonstrated significantly higher levels of leisure internet usage compared to male participants, whereas social media craving levels did not differ according to gender. Positive and significant relationships were identified between social media craving and all subdimensions of leisure internet usage. In addition, as screen time increased, both social media craving and leisure internet usage levels also increased. Regression analysis results revealed that social interaction, shopping, and multimedia usage positively predicted social media craving, whereas the information/personal development dimension negatively predicted social media craving. Social interaction emerged as the strongest predictor. Consequently, the findings suggest that social media craving is associated not only with the amount of time spent in digital environments but also with the motivational structure underlying digital leisure experiences.

Özet

Bu araştırmanın amacı, Gen Z bireylerde sosyal medya aşerme düzeyi ile boş zaman internet kullanımı arasındaki ilişkinin incelenmesidir. Araştırma nicel araştırma yöntemlerinden ilişkisel tarama modeline uygun olarak gerçekleştirilmiştir. Araştırmanın örneklemini, 2000 yılı ve sonrasında doğmuş olma ölçütünü sağlayan, Yalova Üniversitesi’nde öğrenim gören ve ölçüt ile kolayda örnekleme yöntemleri doğrultusunda belirlenen 521 üniversite öğrencisi oluşturmaktadır. Araştırmada veri toplama aracı olarak Kişisel Bilgi Formu, Sosyal Medya Aşerme Ölçeği (SMAÖ) ve Boş Zaman İnternet Kullanımı Ölçeği (BZİKÖ) kullanılmıştır. Verilerin analizinde Bağımsız Gruplar T Testi, ANOVA, MANOVA, Pearson Korelasyon analizi ve çoklu doğrusal Regresyon analizinden yararlanılmıştır. Araştırma sonuçlarına göre kadın katılımcıların boş zaman internet kullanım düzeylerinin erkek katılımcılara göre anlamlı biçimde daha yüksek olduğu belirlenirken sosyal medya aşerme düzeyinin cinsiyete göre farklılaşmadığı saptanmıştır. Sosyal medya aşerme düzeyi ile boş zaman internet kullanımının tüm alt boyutları arasında pozitif yönlü anlamlı ilişkiler olduğu belirlenmiştir. Ayrıca ekran süresi arttıkça sosyal medya aşerme ve boş zaman internet kullanım düzeylerinin de arttığı görülmüştür. Regresyon analizi sonuçlarına göre sosyal etkileşim, alışveriş ve çoklu medya kullanımı sosyal medya aşermesini pozitif yönde anlamlı olarak yordarken bilgi edinme/kişisel gelişim boyutunun sosyal medya aşermesini negatif yönde anlamlı olarak yordadığı belirlenmiştir. En güçlü yordayıcının sosyal etkileşim boyutu olduğu saptanmıştır. Sonuç olarak araştırma, sosyal medya aşermesinin dijital ortamda geçirilen sürenin yanı sıra dijital serbest zaman deneyiminin hangi motivasyonlar doğrultusunda şekillendiğiyle de ilişkili olduğunu ortaya koymaktadır.

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Cite This Article

Satılmış, S. E., Ekinci, N. E. (2026). Digital Tendency: The Relationship Between Social Media Craving and Leisure Internet Usage in Generation Z. Sportive, Cilt: 9 Sayı: 2, 340–360. https://doi.org/10.53025/sportive.1998052

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References (63)

  1. Andreassen, C. S., Pallesen, S., & Griffiths, M. D. (2017). The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. Addictive Behaviors, 64, 287-293. https://doi.org/10.1016/j.addbeh.2016.03.006
  2. Aparicio-Martínez, P., Ruiz-Rubio, M., Perea-Moreno, A.-J., Martínez-Jiménez, M. P., Pagliari, C., Redel-Macías, M. D., & Vaquero-Abellán, M. (2020). Gender differences in the addiction to social networks in the Southern Spanish university students. Telematics and Informatics, 46, 101304. https://doi.org/10.1016/j.tele.2019.101304
  3. Baltacı, Ö., & Açar, I. (2025). Does leisure boredom predict short video addiction in adolescents?. Psychiatric Quarterly, 1-15. https://doi.org/10.1007/s11126-025-10172-4
  4. Banyai, F., Zsila, Á., Kiraly, O., Maraz, A., Elekes, Z., Griffiths, M. D., Andreassen, C. S., & Demetrovics, Z. (2017). Problematic social media use: Results from a large-scale nationally representative adolescent sample. PLoS One, 12(1), e0169839. https://doi.org/10.1371/journal.pone.0169839
  5. Bayram, A., Sezer, B. S., Yalçın, İ., & Şedal, D. (2025). Contemporary problem in leisure time participation: Social media addiction. Journal of Sport Sciences Research, 10(3), 492–503. https://doi.org/10.25307/jssr.1722626
  6. Bocci Benucci, S., Tonini, B., Roffo, G., Casale, S., & Fioravanti, G. (2024). The application of the metacognitive model of desire thinking and craving in problematic social networking sites use. Psychiatric Quarterly, 95, 1–16. https://doi.org/10.1007/s11126-023-10059-2
  7. Brand, M., Young, K. S., Laier, C., Wölfling, K., & Potenza, M. N. (2016). Integrating psychological and neurobiological considerations regarding the development and maintenance of specific Internet-use disorders: An Interaction of Person-Affect-Cognition-Execution (I-PACE) model. Neuroscience & Biobehavioral Reviews, 71, 252-266. https://doi.org/10.1016/j.neubiorev.2016.08.033
  8. Busch, P. A., & McCarthy, S. (2021). Antecedents and consequences of problematic smartphone use: A systematic literature review of an emerging research area. Computers in Human Behavior, 114, 106414. https://doi.org/10.1016/j.chb.2020.106414
  9. Byrne, B. M. (2010). Structural equation modeling with amos: basic concepts, applications, and programming. New York: Routledge.
  10. Byun, D., Kim, R., & Oh, H. (2021). Leisure-time and study-time Internet use and dietary risk factors in Korean adolescents. The American Journal of Clinical Nutrition, 114(5), 1791-1801. https://doi.org/10.1093/ajcn/nqab229
  11. Chatzoglou, P., Chatzoudes, D., Ioakeimidou, D., & Tokoutsi, A. (2020). Generation Z: Factors affecting the use of social networking sites (SNSs). In 2020 15th International Workshop on Semantic and Social Media Adaptation and Personalization, 1-6. https://doi.org/10.1109/SMAP49528.2020.9248473
  12. Chen, P., & Ha, L. (2023). Gen Z’s social mediz use and global communication. Online Media and Global Communication, 2(3), 301–303. https://doi.org/10.1515/omgc-2023-2006
  13. Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L., & Booth, M. (2020). Does time spent using social media impact mental health?: An eight year longitudinal study. Computers in Human Behavior, 104, 106160. https://doi.org/10.1016/j.chb.2019.106160
  14. Dufour, M., Brunelle, N., Khazaal, Y., Tremblay, J., Leclerc, D., Cousineau, M.-M., Rousseau, M., Légaré, A.-A., &Berbiche, D. (2017). Gender difference in online activities that determine problematic internet use. Journal de Thérapie Comportementale et Cognitive, 27(3), 90-98. https://doi.org/10.1016/j.jtcc.2017.05.002
  15. Elkatmış, M. (2024). Examination of social media usage habits of generation Z. Frontiers in Psychology, 15, 1370823. https://doi.org/10.3389/fpsyg.2024.1370823
  16. Enrique, E., & de Corral, P. (2010). Addiction to new technologies and to online social networking in young people: A new challenge. Adicciones, 22(2), 91-96.
  17. Evita, N., Prestianta, A. M., & Asmarantika, R. A. (2023). Patterns of media and social media use in generation Z in Indonesia. Jurnal Studi Komunikasi, 7(1), 195–214. https://doi.org/10.25139/jsk.v7i1.5230
  18. Filippone, L., Shankland, R., & Hallez, Q. (2022). The relationships between social media exposure, food craving, cognitive impulsivity and cognitive restraint. Journal of Eating Disorders, 10, 184. https://doi.org/10.1186/s40337-022-00698-4
  19. Flannery, B. A., Volpicelli, J. R., & Pettinati, H. (1999). Psychometric properties of the Penn alcohol craving scale. Alcoholism: Clinical and Experimental Research, 23(8), 1289-1295. https://doi.org/10.1111/j.1530-0277.1999.tb04349.x
  20. Gale, T., & Devine, M. A. (2023). Advancing understanding of digital well-being at the intersection of technology and leisure. Journal of Leisure Research, 54(5), 667–683. https://doi.org/10.1080/00222216.2023.2247295
  21. Gao, L., Gan, Y., Whittal, A., & Lippke, S. (2020). Problematic internet use and perceived quality of life: Findings from a cross-sectional study investigating work-time and leisure-time internet use. International Journal of Environmental Research and Public Health, 17(11), 4056. https://doi.org/10.3390/ijerph17114056
  22. George, D., & Mallery, P. (1999). SPSS for Windows step by step: A simple guide and reference. Boston: Allyn & Bacon.
  23. Hair, J., Black, W. C., Babin, B. J., ve Anderson, R. E. (2010) Multivariate data analysis. New Jersey: Pearson Educational International.
  24. Hall, J. A., Kearney, M. W., & Xing, C. (2019). Two tests of social displacement through social media use. Information, Communication & Society, 22(10), 1396-1413. https://doi.org/10.1080/1369118X.2018.1430162
  25. Hjetland, G. J., Skogen, J. C., Hysing, M., & Sivertsen, B. (2021). The association between self-reported screen time, social media addiction, and sleep among Norwegian university students. Frontiers in Public Health, 9, 794307. https://doi.org/10.3389/fpubh.2021.794307
  26. Hormes, J. M., Kearns, B., & Timko, C. A. (2014). Craving F acebook? Behavioral addiction to online social networking and its association with emotion regulation deficits. Addiction, 109(12), 2079-2088. https://doi.org/10.1111/add.12713
  27. Ibabe, I., Albertos, A., & Lopez-del Burgo, C. (2024). Leisure time activities in adolescents predict problematic technology use. European Child & Adolescent Psychiatry, 33(1), 279-289. https://doi.org/10.1007/s00787-023-02152-5
  28. Kim, G.-H., & Lim, Y.-J. (2026). Social media use motives as mediators of distress intolerance and social media addiction among college students. Archives of Psychiatric Nursing, 61, 152097. https://doi.org/10.1016/j.apnu.2026.152097
  29. Kolas, J., & von Mühlenen, A. (2025). Checking in to check out? The effect of boredom on craving, behavioural inhibition and social networking site use. International Journal of Mental Health and Addiction, 23, 4265–4284. https://doi.org/10.1007/s11469-024-01349-2
  30. Kross, E., Verduyn, P., Sheppes, G., Costello, C. K., Jonides, J., & Ybarra, O. (2021). Social media and well-being: Pitfalls, progress, and next steps. Trends in Cognitive Sciences, 25(1), 55-66. https://doi.org/10.1016/j.tics.2020.10.005
  31. Kuss, D. J., Griffiths, M. D., Karila, L., & Billieux, J. (2014). Internet addiction: A systematic review of epidemiological research for the last decade. Current Pharmaceutical Design, 20(25), 4026-4052. http://dx.doi.org/10.2174/13816128113199990617
  32. Lamberti, G., López-Sintas, J., & López-Belbeze, P. (2023). The impact of internet use on leisure: Gender and age heterogeneity in young people. Journal of Leisure Research, 54(5), 581–601. https://doi.org/10.1080/00222216.2023.2193178
  33. Lee, N., Kim, J. J., Shin, Y. B., Eom, H., Kim, M. K., Kyeong, S., Jung, Y. H., Min, S., Kwon, J. H., & Kim, E. (2020). Choice of leisure activities by adolescents and adults with internet gaming disorder: Development and feasibility study of a virtual reality program. JMIR Serious Games, 8(4), e18473. https://doi.org/10.2196/18473
  34. Mahmood, M., Batool, S. H., Rafiq, M., & Safdar, M. (2022). Examining digital information literacy as a determinant of women’s online shopping behavior. Information Technology & People, 35(7), 2098–2114. https://doi.org/10.1108/ITP-05-2021-0397
  35. Montag, C., Yang, H., & Elhai, J. D. (2021). On the psychology of TikTok use: A first glimpse from empirical findings. Frontiers in Public Health, 9, 641673. https://doi.org/10.3389/fpubh.2021.641673
  36. Moretta, T., & Buodo, G. (2021). Motivated attention to stimuli related to social networking sites: A cue-reactivity study. Journal of Behavioral Addictions, 10(2), 314-326. https://doi.org/10.1556/2006.2021.00040
  37. Nunnally, J. C., & Bernstein, I. H. (1994). Psychometric theory. New York, NY: McGraw-Hill.
  38. Pamuk, M. (2026). Investigation of the serial mediation roles of social media craving and self-control in the relationship between social media addiction and psychological adjustment problems of university students. Current Psychology, 45(3), 312. https://doi.org/10.1007/s12144-025-08992-5
  39. Panova, T., & Carbonell, X. (2018). Is smartphone addiction really an addiction?. Journal of Behavioral Addictions, 7(2), 252-259. https://doi.org/10.1556/2006.7.2018.49
  40. Qi, J., Zhou, X., Li, J., & Liu, B. (2025). The impact of regular physical exercise on mobile phone addiction tendency among Chinese college students: the mediating role of trait boredom and the moderating role of self-control. Frontiers in Psychology, 16, 1671836. https://doi.org/10.3389/fpsyg.2025.1671836
  41. Robertson, D. J., Malin, J., Martin, S., Butler, S. H., John, B., Graff, M., Flowers, P., & Jones, B. C. (2023). Social media use: Attitudes, “detox,” and craving in typical and frequent users. Technology, Mind, and Behavior, 4(4), 352–361. https://doi.org/10.1037/tmb0000120
  42. Savci, M., & Griffiths, M. D. (2019). The development of the Turkish Social Media Craving Scale (SMCS): A validation study. International Journal of Mental Health and Addiction, 19(2), 359-373. https://doi.org/10.1007/s11469-019-00062-9
  43. Savci, M., Tekin, A., & Elhai, J. D. (2020). Prediction of problematic social media use (PSU) using machine learning approaches. Current Psychology, 41, 2755–2764. https://doi.org/10.1007/s12144-020-00794-1
  44. Smith, T., & Short, A. (2022). Needs affordance as a key factor in likelihood of problematic social media use: Validation, latent Profile analysis and comparison of TikTok and Facebook problematic use measures. Addictive Behaviors, 129, 107259. https://doi.org/10.1016/j.addbeh.2022.107259
  45. Stahl, C. C., & Literat, I. (2023). #GenZ on TikTok: The collective online self-portrait of the social media generation. Journal of Youth Studies, 26(7), 925–946. https://doi.org/10.1080/13676261.2022.2053671
  46. Stockdale, L. A., & Coyne, S. M. (2020). Bored and online: Reasons for using social media, problematic social networking site use, and behavioral outcomes across the transition from adolescence to emerging adulthood. Journal of Adolescence, 79, 173-183. https://doi.org/10.1016/j.adolescence.2020.01.010
  47. Su, W., Han, X., Yu, H., Wu, Y., & Potenza, M. N. (2020). Do men become addicted to internet gaming and women to social media? A meta-analysis examining gender-related differences in specific internet addiction. Computers in Human Behavior, 113, 106480. https://doi.org/10.1016/j.chb.2020.106480
  48. Szymkowiak, A., Melović, B., Dabić, M., Jeganathan, K., & Kundi, G. S. (2021). Information technology and Gen Z: The role of teachers, the internet, and technology in the education of young people. Technology in Society, 65, 101565. https://doi.org/10.1016/j.techsoc.2021.101565
  49. Şimşek, K. Y. (2025). Leisure time internet usage habits: Generational and country comparison. Managing Sport and Leisure, 1-16. https://doi.org/10.1080/23750472.2025.2466457
  50. Şimşek, Y., K., & Çevik, H. (2023). The development and validation of the Leisure Internet Usage Scale (LIUS). Leisure Studies, 43(1), 76-88. https://doi.org/10.1080/02614367.2023.2191978
  51. Tagliaferri, G., Cricenti, C., Civera-Antony, A., González-Manzanares, C., & Martí-Vilar, M. (2026). From quest for significance to social media addiction: The mediating role of boredom and the moderating role of age in a Spanish sample. Psychiatry International, 7(3), 107. https://doi.org/10.3390/psychiatryint7030107
  52. Tomczyk, L., & Solecki, R. (2019). Problematic internet use and protective factors related to family and free time activities among young people. Educational Sciences: Theory & Practice, 19(3), 1–13. https://doi.org/10.12738/estp.2019.3.001
  53. Turkle, S. (2011). Alone together: Why we expect more from technology and less from each other. New York: Basic Books.
  54. Tutar, Ö. F., & Turhan, F. H. (2023). Digital leisure: Transformation of leisure activities. Shanlax International Journal of Education, 11(Special Issue 1), 16–28. https://doi.org/10.34293/education.v11iS1-Oct.6365
  55. Twenge, J. M., & Martin, G. N. (2020). Gender differences in associations between digital media use and psychological well-being: Evidence from three large datasets. Journal of Adolescence, 79, 91-102. https://doi.org/10.1016/j.adolescence.2019.12.018
  56. Valkenburg, P. M., Meier, A., & Beyens, I. (2022). Social media use and its impact on adolescent mental health: An umbrella review of the evidence. Current Opinion in Psychology, 44, 58-68. https://doi.org/10.1016/j.copsyc.2021.08.017
  57. Wang, W. C. (2019). Exploring the relationship among free-time management, leisure boredom, and internet addiction in undergraduates in Taiwan. Psychological Reports, 122(5), 1651-1665. https://doi.org/10.1177/0033294118789034
  58. Wegmann, E., Müller, S. M., Turel, O., & Brand, M. (2020). Interactions of impulsivity, general executive functions, and specific inhibitory control explain symptoms of social-networks-use disorder: An experimental study. Scientific Reports, 10(1), 3866. https://doi.org/10.1038/s41598-020-60819-4
  59. Whiting, A., & Williams, D. (2013). Why people use social media: A uses and gratifications approach. Qualitative Market Research: An International Journal, 16(4), 362-369. https://doi.org/10.1108/QMR-06-2013-0041
  60. Woodward, M. J., McGettrick, C. R., Dick, O. G., Ali, M., & Teeters, J. B. (2025). Time spent on social media and associations with mental health in young adults: Examining TikTok, Twitter, Instagram, Facebook, YouTube, Snapchat, and Reddit. Journal of Technology in Behavioral Science, 10, 661–671. https://doi.org/10.1007/s41347-024-00474-y
  61. Xiang, S., Deng, Q., & Chen, B. (2025). Relationship between Internet use and offline leisure activities among Chinese older adult people: a moderated mediation model. Frontiers in Public Health, 12, 1458413. https://doi.org/10.3389/fpubh.2024.1458413
  62. Zhao, J., Jia, T., Wang, X., Xiao, Y., & Wu, X. (2022). Risk factors associated with social media addiction: An exploratory study. Frontiers in Psychology, 13, 837766. https://doi.org/10.3389/fpsyg.2022.837766
  63. Zhu, J., Zhai, Y., Meng, X., Zhang, Z., & Yuan, X. (2025). The relationship between physical activity and internet addiction among Chinese adolescents: Exploring latent profile analysis and multi-level mediating mechanisms. Frontiers in Psychology, 16, 1628586. https://doi.org/10.3389/fpsyg.2025.1628586