Araştırma Makalesi
BibTex RIS Kaynak Göster

SOSYAL AĞ YORGUNLUĞU ÖLÇEĞİ GEÇERLİLİK VE GÜVENİLİRLİK ÇALIŞMASI

Yıl 2025, Cilt: 21 Sayı: 4, 1565 - 1588, 25.12.2025
https://doi.org/10.17130/ijmeb.1640393

Öz

Bu çalışma, bireylerin sosyal ağ kullanımına bağlı olarak yaşadığı yorgunluk düzeylerini ölçmek için geçerli ve güvenilir bir ölçek geliştirmeyi amaçlamaktadır. Literatür taraması ve uzman görüşleri doğrultusunda oluşturulan madde havuzu üzerinde açımlayıcı faktör analizi (AFA) ve doğrulayıcı faktör analizi (DFA) gerçekleştirilmiş, ölçeğin üç faktörlü bir yapıya sahip olduğu belirlenmiştir. Bilişsel yorgunluk, sosyal ağ kullanımının zihinsel kapasite üzerindeki olumsuz etkilerini; davranışsal yorgunluk, kullanımın sınırlandırılması ve azaltılmasını; duygusal yorgunluk ise stres, huzursuzluk ve tükenmişlik gibi duyguları ölçmektedir. AFA sonuçlarına göre ölçek toplam varyansın %73,77’sini açıklarken, DFA analizleri model uyumunun iyi olduğunu göstermiştir (CFI=0,987, RMSEA=0,058, χ²/sd=1,574). Cronbach’s Alpha değerleri bilişsel yorgunluk için 0,955, davranışsal yorgunluk için 0,950 ve duygusal yorgunluk için 0,863 olarak hesaplanmıştır. Sonuçlar, sosyal ağ kullanımının bilişsel tükenmişlik, dikkat dağınıklığı ve duygusal stres gibi olumsuzluklara yol açabileceğini göstermektedir. Bu doğrultuda, bireylerin sosyal ağ kullanımını bilinçli yönetmeleri, dijital detoks ve medya okuryazarlığı gibi stratejiler geliştirmeleri önerilmektedir. Ölçek, sosyal ağ yorgunluğunu ölçmek için geçerli ve güvenilir bir araç olup, farklı örneklemlerle test edilebilir.

Kaynakça

  • Adhikari, K., & Panda, R. K. (2020). Examining the role of social networking fatigue toward discontinuance intention: The multigroup effects of gender and age. Journal of Internet Commerce, 19(2), 125-152. https://doi.org/10.1080/15332861.2019.1698265
  • Aktaş Terzioğlu M. & Toker Uğurlu T. (2023). Social media addiction in medical faculty students; the relationship with dissociation, social anxiety, and alexithymia. Pamukkale Tıp Dergisi, 16(4), 580–592. https://doi.org/10.31362/patd.1321281
  • Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148–155.
  • Cao, X., Khan, A. N., Ali, A., & Khan, N. A. (2018). Consequences of cyberbullying and social overload while using SNSs: A study of users’ discontinuous usage behavior. Information Systems Frontiers, 21(6), 1-14. https://doi.org/10.1007/s10796-019-09936-8
  • Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L. A., & Booth, M. (2023). Does time away from social media improve mental well-being? Journal of Social and Clinical Psychology, 42(2), 89–103. https://doi.org/10.1521/jscp.2023.42.2.89
  • Davis, L. L. (1992). Instrument review: Getting the most from a panel of experts. Applied Nursing Research, 5(4), 194–197. https://doi.org/10.1016/S0897-1897(05)80008-4
  • Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing—A study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Management, 40, 141-152.
  • Dhir, A., Kaur, P., Chen, S., & Pallesen, S. (2019). Antecedents and consequences of social media fatigue. International Journal of Information Management, 48, 193–202. https://doi.org/10.1016/j.ijinfomgt.2019.05.021
  • Evli M., Albayrak E., Şimşek N. & Uzdil N. (2023). Mindfulness, psychological well-being, social media use, and internet use time among adolescents: A structural equation modeling. Bağımlılık Dergisi, 24(4), 407-416. https://doi.org/10.51982/bagimli.1106080
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
  • Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M. (2020). Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management, 57(6), 1-15. https://doi.org/10.1016/j.ipm.2020.102307
  • Hidayat, P., & Nurhayati, S. R. (2019). The influence of online social interaction on internet addiction among adolescence. Yaşam Becerileri Psikoloji Dergisi, 3(6), 229- 236. https://doi.org/10.31461/ybpd.616184
  • Kaur, P., Islam, N., Tandon, A., & Dhir, A. (2021). Social media users’ online subjective well-being and fatigue: A network heterogeneity perspective. Technological Forecasting and Social Change, 172, 121039. https://doi.org/10.1016/j.techfore.2021.121039
  • Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61.
  • Li, N., Li, S., & Fan, L. (2021). Risk factors of psychological disorders after the COVID-19 outbreak: The mediating role of social support and emotional intelligence. Journal of Adolescent Health, 69(5):696-704. doi: 10.1016/j.jadohealth.2021.07.018
  • Longstreet, P., & Brooks, S. (2017). Life satisfaction: A key to managing internet & social media addiction. Technology in Society, 50, 73–77. https://doi.org/10.1016/j.techsoc.2017.05.003
  • Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2012). When social networking turns to social overload: Explaining the stress, emotional exhaustion, and quitting behavior of social network site users. ECIS 2012 Proceedings, 71. https://aisel.aisnet.org/ecis2012/71
  • Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2015). Giving too much social support: Social overload on social networking sites. European Journal of Information Systems, 24(5), 1-18.
  • Malik, A., Dhir, A., Kaur, P., & Johri, A. (2020). Correlates of social media fatigue and academic performance decrement: A large cross-sectional study. Information Technology & People, 1–24.
  • Onat Kocabıyık O.& Donat Bacıoğlu S. (2022). Predictive roles of psychological resilience and coping skills on social media addiction. Psikiyatride Güncel Yaklaşımlar, 14(1), 137-146. https://doi.org/10.18863/pgy.1137812
  • Pang, H. (2021). How compulsive WeChat use and information overload affect social media fatigue and well-being during the COVID-19 pandemic? A stressor-strain-outcome perspective. Telematics and Informatics, 64, 101690. https://doi.org/10.1016/j.tele.2021.101690
  • Sabik, N. J., Falat, J., & Magagnos, J. (2019). When self-worth depends on social media feedback: Associations with psychological well-being. Sex Roles, 82, 411-421. https://doi.org/10.1007/s11199-019-01062-8
  • Tok, E. S. & Arslan A. M. (2023). Relationship between loneliness, inadequacy, social anxiety and online social support with social media addiction. Psikiyatride Güncel Yaklaşımlar, 15(1), 45–58. https://doi.org/10.18863/pgy.1343828
  • Tutal Ö., Erensoy H. & Luş M. (2021). Relationship between psychological symptoms, impulsivity and social media use problems. Bağımlılık Dergisi, 22(1), 43–52. https://doi.org/10.51982/bagimli.793837
  • Tutar, H., Eryüzlü, H., Mutlu, H. T., & Nam, S. (2024). Bilimsel analiz teknikleri (Nicel, nitel, karma yöntem ve ekonometrik analiz teknikleri). Umuttepe Yayınları.
  • Van der Schuur, W. A., Baumgartner, S. E., Sumter, S. R., & Valkenburg, P. M. (2019). The consequences of media multitasking for youth: A review. Computers in Human Behavior, 53, 204–215.
  • Xiao, L., & Mou, J. (2019). Social media fatigue: A case study of WeChat. Computers in Human Behavior 101(6), 297-310.
  • Zhang, S., Shen, Y., Xin, T., Sun, H., Wang, Y., Zhang, X., & Ren, S. (2021). The development and validation of a social media fatigue scale: From a cognitive-behavioral-emotional perspective. PLoS ONE, 16(1).

SOCIAL NETWORKING FATIGUE SCALE VALIDITY AND RELIABILITY STUDY

Yıl 2025, Cilt: 21 Sayı: 4, 1565 - 1588, 25.12.2025
https://doi.org/10.17130/ijmeb.1640393

Öz

This study aims to develop a valid and reliable scale to measure fatigue levels experienced by individuals due to social network usage. An item pool, created through a literature review and expert opinions, was subjected to exploratory factor analysis (EFA) and confirmatory factor analysis (CFA), which identified a three-factor structure for the scale. Cognitive fatigue measures the adverse effects of social network usage on mental capacity; behavioral fatigue assesses limitations and reductions in usage; and emotional fatigue evaluates feelings such as stress, restlessness, and burnout. According to EFA results, the scale explained 73.77% of the total variance, while CFA indicated good model fit (CFI=0.987, RMSEA=0.058, χ²/df=1.574). Cronbach’s Alpha values were calculated as 0.955 for cognitive fatigue, 0.950 for behavioral fatigue, and 0.863 for emotional fatigue. The findings suggest that social network usage may lead to negative outcomes such as cognitive exhaustion, attention deficits, and emotional stress. Consequently, individuals are advised to consciously manage their social network use and adopt strategies like digital detox and media literacy. The scale serves as a valid and reliable tool for measuring social network fatigue and can be tested with diverse samples.

Kaynakça

  • Adhikari, K., & Panda, R. K. (2020). Examining the role of social networking fatigue toward discontinuance intention: The multigroup effects of gender and age. Journal of Internet Commerce, 19(2), 125-152. https://doi.org/10.1080/15332861.2019.1698265
  • Aktaş Terzioğlu M. & Toker Uğurlu T. (2023). Social media addiction in medical faculty students; the relationship with dissociation, social anxiety, and alexithymia. Pamukkale Tıp Dergisi, 16(4), 580–592. https://doi.org/10.31362/patd.1321281
  • Bright, L. F., Kleiser, S. B., & Grau, S. L. (2015). Too much Facebook? An exploratory examination of social media fatigue. Computers in Human Behavior, 44, 148–155.
  • Cao, X., Khan, A. N., Ali, A., & Khan, N. A. (2018). Consequences of cyberbullying and social overload while using SNSs: A study of users’ discontinuous usage behavior. Information Systems Frontiers, 21(6), 1-14. https://doi.org/10.1007/s10796-019-09936-8
  • Coyne, S. M., Rogers, A. A., Zurcher, J. D., Stockdale, L. A., & Booth, M. (2023). Does time away from social media improve mental well-being? Journal of Social and Clinical Psychology, 42(2), 89–103. https://doi.org/10.1521/jscp.2023.42.2.89
  • Davis, L. L. (1992). Instrument review: Getting the most from a panel of experts. Applied Nursing Research, 5(4), 194–197. https://doi.org/10.1016/S0897-1897(05)80008-4
  • Dhir, A., Yossatorn, Y., Kaur, P., & Chen, S. (2018). Online social media fatigue and psychological wellbeing—A study of compulsive use, fear of missing out, fatigue, anxiety and depression. International Journal of Information Management, 40, 141-152.
  • Dhir, A., Kaur, P., Chen, S., & Pallesen, S. (2019). Antecedents and consequences of social media fatigue. International Journal of Information Management, 48, 193–202. https://doi.org/10.1016/j.ijinfomgt.2019.05.021
  • Evli M., Albayrak E., Şimşek N. & Uzdil N. (2023). Mindfulness, psychological well-being, social media use, and internet use time among adolescents: A structural equation modeling. Bağımlılık Dergisi, 24(4), 407-416. https://doi.org/10.51982/bagimli.1106080
  • Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of marketing research, 18(1), 39-50.
  • Fu, S., Li, H., Liu, Y., Pirkkalainen, H., & Salo, M. (2020). Social media overload, exhaustion, and use discontinuance: Examining the effects of information overload, system feature overload, and social overload. Information Processing & Management, 57(6), 1-15. https://doi.org/10.1016/j.ipm.2020.102307
  • Hidayat, P., & Nurhayati, S. R. (2019). The influence of online social interaction on internet addiction among adolescence. Yaşam Becerileri Psikoloji Dergisi, 3(6), 229- 236. https://doi.org/10.31461/ybpd.616184
  • Kaur, P., Islam, N., Tandon, A., & Dhir, A. (2021). Social media users’ online subjective well-being and fatigue: A network heterogeneity perspective. Technological Forecasting and Social Change, 172, 121039. https://doi.org/10.1016/j.techfore.2021.121039
  • Lee, A. R., Son, S. M., & Kim, K. K. (2016). Information and communication technology overload and social networking service fatigue: A stress perspective. Computers in Human Behavior, 55, 51–61.
  • Li, N., Li, S., & Fan, L. (2021). Risk factors of psychological disorders after the COVID-19 outbreak: The mediating role of social support and emotional intelligence. Journal of Adolescent Health, 69(5):696-704. doi: 10.1016/j.jadohealth.2021.07.018
  • Longstreet, P., & Brooks, S. (2017). Life satisfaction: A key to managing internet & social media addiction. Technology in Society, 50, 73–77. https://doi.org/10.1016/j.techsoc.2017.05.003
  • Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2012). When social networking turns to social overload: Explaining the stress, emotional exhaustion, and quitting behavior of social network site users. ECIS 2012 Proceedings, 71. https://aisel.aisnet.org/ecis2012/71
  • Maier, C., Laumer, S., Eckhardt, A., & Weitzel, T. (2015). Giving too much social support: Social overload on social networking sites. European Journal of Information Systems, 24(5), 1-18.
  • Malik, A., Dhir, A., Kaur, P., & Johri, A. (2020). Correlates of social media fatigue and academic performance decrement: A large cross-sectional study. Information Technology & People, 1–24.
  • Onat Kocabıyık O.& Donat Bacıoğlu S. (2022). Predictive roles of psychological resilience and coping skills on social media addiction. Psikiyatride Güncel Yaklaşımlar, 14(1), 137-146. https://doi.org/10.18863/pgy.1137812
  • Pang, H. (2021). How compulsive WeChat use and information overload affect social media fatigue and well-being during the COVID-19 pandemic? A stressor-strain-outcome perspective. Telematics and Informatics, 64, 101690. https://doi.org/10.1016/j.tele.2021.101690
  • Sabik, N. J., Falat, J., & Magagnos, J. (2019). When self-worth depends on social media feedback: Associations with psychological well-being. Sex Roles, 82, 411-421. https://doi.org/10.1007/s11199-019-01062-8
  • Tok, E. S. & Arslan A. M. (2023). Relationship between loneliness, inadequacy, social anxiety and online social support with social media addiction. Psikiyatride Güncel Yaklaşımlar, 15(1), 45–58. https://doi.org/10.18863/pgy.1343828
  • Tutal Ö., Erensoy H. & Luş M. (2021). Relationship between psychological symptoms, impulsivity and social media use problems. Bağımlılık Dergisi, 22(1), 43–52. https://doi.org/10.51982/bagimli.793837
  • Tutar, H., Eryüzlü, H., Mutlu, H. T., & Nam, S. (2024). Bilimsel analiz teknikleri (Nicel, nitel, karma yöntem ve ekonometrik analiz teknikleri). Umuttepe Yayınları.
  • Van der Schuur, W. A., Baumgartner, S. E., Sumter, S. R., & Valkenburg, P. M. (2019). The consequences of media multitasking for youth: A review. Computers in Human Behavior, 53, 204–215.
  • Xiao, L., & Mou, J. (2019). Social media fatigue: A case study of WeChat. Computers in Human Behavior 101(6), 297-310.
  • Zhang, S., Shen, Y., Xin, T., Sun, H., Wang, Y., Zhang, X., & Ren, S. (2021). The development and validation of a social media fatigue scale: From a cognitive-behavioral-emotional perspective. PLoS ONE, 16(1).
Toplam 28 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular İşletme
Bölüm Araştırma Makalesi
Yazarlar

Hakan Tahiri Mutlu 0000-0002-8964-2696

Hasan Saltuk Durak 0000-0003-1994-0011

Mehmet Fatih Kanoğlu 0000-0001-6551-7332

Gönderilme Tarihi 15 Şubat 2025
Kabul Tarihi 1 Haziran 2025
Yayımlanma Tarihi 25 Aralık 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 21 Sayı: 4

Kaynak Göster

APA Mutlu, H. T., Durak, H. S., & Kanoğlu, M. F. (2025). SOSYAL AĞ YORGUNLUĞU ÖLÇEĞİ GEÇERLİLİK VE GÜVENİLİRLİK ÇALIŞMASI. Uluslararası Yönetim İktisat ve İşletme Dergisi, 21(4), 1565-1588. https://doi.org/10.17130/ijmeb.1640393


88x31.png