A Preliminary Validation of the Polish Version of the Social Media Fatigue Scale

References

• Website: datareportal.com. Digital 2021: Global Overview Report; 2021 [updated January 27, 2021]. Available from: https://datareportal.com/reports/digital-2021-global-overview-report. Accessed May 19, 2021.
   Google Scholar
• Website: statista.com. Share of internet users in Poland from 2019 to 2020, by age group; 2020 [updated December 16, 2020]. Available from: https://www.statista.com/statistics/1015451/poland-internet-users-by-age-group/. Accessed May 19, 2021.
   Google Scholar
• Bright LF, Logan K. Is my fear of missing out (FOMO) causing fatigue? Advertising, social media fatigue, and the implications for concumers and brands. INTR. 2018;28(5):1213–1227. doi:10.1108/IntR-03-2017-0112
   Web of Science ®Google Scholar
• Liu C, Ma J. Social media addiction and burnout: the mediating roles of envy and social media use anxiety. Curr Psychol. 2018;39(6):1883–1891. doi:10.1007/s12144-018-9998-0
   Web of Science ®Google Scholar
• Zhang S, Shen Y, Xin T, Sun H, Wang Y, Zhang X. The development and validation of a social media fatigue scale: from a cognitive-behavioral-emotional perspective. PLoS One. 2021;16(1):e0245464. doi:10.1371/journal.pone.0245464
   PubMed Web of Science ®Google Scholar
• Hanley SM, Watt SE, Coventry W. Taking a break: the effect of taking a vacation from Facebook and Instagram on subjective well-being. PLoS One. 2019;14(6):e0217743. doi:10.1371/journal.pone.0217743
   PubMed Web of Science ®Google Scholar
• Jorge A. Social media, interrupted: users recounting temporary disconnection on Instagram. Soc Media Soc. 2019;1(2):1–19. doi:10.1177/2056305119881691
   Web of Science ®Google Scholar
• Hong S, Oh SK. Why people don’t use Facebook anymore? An investigation into the relationship between the Big Five personality traits and the motivation to leave Facebook. Front Psychol. 2020;11:1497. doi:10.3389/fpsyg.2020.01497
   PubMed Web of Science ®Google Scholar
• Zhang Y, He W, Peng L. How perceived pressure affects users’ social media fatigue behavior: a case on WeChat. J Comput Inform Syst. 2020. doi:10.1080/08874417.2020.1824596
   Web of Science ®Google Scholar
• Guo Y, Lu Z, Kuang H, Wang C. Information avoidance behawior on social network sites: information irrelevance, overload, and the moderating role of time pressure. Int J Inf Manag. 2020;52. doi:10.1016/j.ijinfomgt.2020.102067
   Web of Science ®Google Scholar
• Malik A, Dhir A, Kaur P, Johri A. Correlates of social media fatigue and academic performance decrement: a large cross-sectional study. Inf Technol People. 2020;34(2):557–580. doi:10.1108/ITP-06-2019-0289
   Web of Science ®Google Scholar
• Tugtekin U, Tugtekin EB, Kurt AA, Demir K. Association between fear of missing out, problematic smartphone use, and social networking services fatigue among young adults. Soc Media Soc. 2020;6(4):1–17. doi:10.1177/2056305120963760
   Web of Science ®Google Scholar
• Ravindran T, Kuan ACY, Lian DGH. Antecedents and effects of social network fatigue. J Assoc Inf Sci Technol. 2014;65(11):2306–2320. doi:10.1002/asi.23122
   Web of Science ®Google Scholar
• Zhang S, Zhao L, Lu Y, Yang J. Do you get tired of socializing? An emppirical explanation of discontiuous usage behavior in social network servises. Inf Manag. 2016;53(7):904–914. doi:10.1016/j.im.2016.03.006
   Web of Science ®Google Scholar
• Xiao L, Mou J, Huang L. Exploring the antecedents of social network service fatigue: a socio-technical perspective. IMDS. 2019;119(9):2006–2032. doi:10.1108/IMDS-04-2019-0231
   Web of Science ®Google Scholar
• Han B. Social media burnout: definition, measurement instrument, and why we care. J Comput Inform Syst. 2018;58(2):122–130. doi:10.1080/08874417.2016.1208064
   Web of Science ®Google Scholar
• Bright LF, Kleiser SB, Grau SL. Too much Facebook? An exploratory examination of social media fatigue. Comput Hum Behav. 2015;44:148155. doi:10.1016/j.chb.2014.11.048
   Web of Science ®Google Scholar
• Dhir A, Yossatorn Y, Kaur P, Chen S. Online social media fatigue and psychological wellbeing–A study of compulsive use, fear of missing out, fatigue, anxiety and depression. Int J Inf Manag. 2018;40:141–152. doi:10.1016/j.ijinfomgt.2018.01.012
   Web of Science ®Google Scholar
• Islam AKMN, Laato S, Talukder S, Sutinen E. Misinformation sharing and social media fatigue during COVID-19: an affordance and cognitive load perspective. Technol Foresast Soc Change. 2020;159:120201. doi:10.1016/j.techfore.2020.120201
   PubMed Web of Science ®Google Scholar
• Lee AR, Son SM, Kim KK. Information and communication technology overload and social networking service fatigue: a stress perspective. Comput Hum Behav. 2016;55:51–61. doi:10.1016/j.chb.2015.08.011
   Web of Science ®Google Scholar
• Lee E, Lee KY, Sung Y, Song YA. #DeleteFacebook: antecedents of Facebook fatigue. Cyberpsychol Behav Soc Netw. 2019;22(6):417–422. doi:10.1089/cyber.2018.0200
   PubMed Web of Science ®Google Scholar
• Xiao L, Mou J. Social media fatigue – technological antecedents and the moderating roles of personality traits: the case of WeChat. Comput Hum Behav. 2019;101:297–310. doi:10.1016/j.chb.2019.08.001
   Web of Science ®Google Scholar
• Logan K, Bright LF, Grau SL. “Unfriend me, please!”: social media fatigue and the theory of rational choice. J Mark Theory Pract. 2018;26(4):357–367. doi:10.1080/10696679.2018.148819
   Web of Science ®Google Scholar
• Seo Y, Primovic MJ, Jin Y. Overcoming stakeholder social media fatigue: a trialogue approach. J Bus Strategy. 2019;40(6):40–48. doi:10.1108/JBS-04-2019-0071
   Google Scholar
• Dai B, Ali A, Wang H. Exploring information avoidance intention of social media users: a cognition-affect-conation perspective. Internet Res. 2020;30(5):1455–1478. doi:10.1108/intr-06-2019-0225
   Web of Science ®Google Scholar
• Fu S, Li H, Liu Y, Pirkkalainen H, Salo M. Social media overload, exhaustion, and use discontinuance: examining the effects of information overload, system feature overload, and social overload. Inf Process Manag. 2020;57(6):102307. doi:10.1016/j.ipm.2020.102307
   Web of Science ®Google Scholar
• Matthes J, Karsay K, Schmuck D, Stevic A. “Too much to handle”: impact of mobile social networking sites on information overload, depressive symptoms, and well-being. Comput Hum Behav. 2020;105:106217. doi:10.1016/j.chb.2019.106217
   Web of Science ®Google Scholar
• Hwang MY, Hong JC, Tai KH, Chen JT, Gouldthorp T. The relationship between the online social anxiety, perceived information overload and fatigue, and job engagement of civil servant LINE users. Gov Inf Q. 2020;37(1):101423. doi:10.1016/j.giq.2019.101423
   Web of Science ®Google Scholar
• Nickerson RS, Adams MJ. Long-term memory for a common object. Cogn Psychol. 1979;11(3):287–307. doi:10.1016/0010-0285(79)90013-6
   Web of Science ®Google Scholar
• White KG. Dissociation of short-term forgetting from the passage of time. J Exp Psychol Learn Mem Cogn. 2012;38(1):255–259. doi:10.10137/a0025197
   PubMed Web of Science ®Google Scholar
• Luqman A, Masood A, Weng QD, Ali A, Rasheed MI. Linking excessive SNS use, technological friction, strain, and discontinuance: the moderating role of guilt. Inf Syst Manag. 2020;37(2):94–112. doi:10.1080/10580530.2020.1732527
   Web of Science ®Google Scholar
• Pontes HM. Investigating the differential effects of social networking site addiction and Internet gaming disorder on psychological health. J Behav Addict. 2017;6(4):601–610. doi:10.1556/2006.6.2017.075
   PubMed Web of Science ®Google Scholar
• Vanucci A, Flannery KM, McCauley Ohannessian C. Social media use and anxiety in emerging adults. J Affect Disord. 2017;207:163–166. doi:10.1016/j.jad.2016.08.040
   PubMed Web of Science ®Google Scholar
• Whelan E, Islam AKM, Brooks S. Is boredom proneness related to social media overload and fatigue? A stress-outcome approach. Internet Res. 2020;30(3):869–887. doi:10.1108/INTR-03-2019-0112
   Web of Science ®Google Scholar
• Maier C, Laumer S, Eckhardt A, Weitzel T. When social networking turns to social overload: explaining the stress, emotional exhaustion, and quitting behavior from social network sites’ users. Ecis. 2012:1–12.
   Google Scholar
• Lee CC, Chou STH, Huang YR. A study on personality and social media fatigue – example of Facebook users. Lecture Notes Info Theory. 2014;2(3):249–253. doi:10.12720/lnit.2.3.249-253
   Google Scholar
• Lang A. The limited capacity model of mediated message processing. J Commun. 2006;50(1):46–70. doi:10.1111/j.1460-2466.2000.tb02833.x
   Google Scholar
• Lang A. Using the limited capacity model of motivated mediated message processing to design effective cancer communication messages. J Commun. 2006;56(1):57–80. doi:10.1111/j.1460-2466.2006.00283.x
   Web of Science ®Google Scholar
• Alavi SS, Maracy MR, Jannatifard F, Eslami M. The effect of psychiatric symptoms on the Internet addiction disorder in Isfahan’s University students. J Res Med Sci. 2011;16(6):793–800.
   PubMed Web of Science ®Google Scholar
• Lin SC, Tsai KW, Chen MW, Koo M. Association between fatigue and Internet addiction in female hospital nurses. J Adv Nurs. 2012;69(2):374–383. doi:10.1111/j.1365-2648.2012.06016.x
   PubMed Web of Science ®Google Scholar
• Bener A, Yildirim E, Torun P, et al. Internet addiction, fatigue, and sleep problems among adolescents students: a large-scale study. Int J Ment Health Addict. 2019;17(4):959–969. doi:10.1007/s11469-018-9937-1
   Web of Science ®Google Scholar
• Duradoni M, Innocenti F, Guazzini A. Well-being and social media: a systematic review of Bergen Addiction Scales. Future Internet. 2020;12(2):24. doi:10.3390/fi12020024
   Web of Science ®Google Scholar
• Sayeed A, Rahman MH, Hassan MN, et al. Problematic internet use associated with depression, health, and internet-use behaviors among University students of Bangladesh: a cross-sectional study. Child Youth Serv Rev. 2021;120(10):105771. doi:10.1016/j.childyouth.2020.105771
   Web of Science ®Google Scholar
• Lian SI, Sun HJ, Zhou ZK, Fan CY, Niu GF, Liu QQ. Social networking site addiction and undergraduate students’ irrational procrastination: the mediating role of social networking site fatigue and the moderating role of effortful control. PLoS One. 2018;13(12):e0208162. doi:10.1371/journal.pone.0208162
   PubMed Web of Science ®Google Scholar
• O’Keeffe GS, Clarke-Pearson K. Council on Communications and Media. Pediatrics. 2011;127(4):800–804. doi:10.1542/peds.2011-0054
   PubMed Web of Science ®Google Scholar
• Tomczyk Ł. Evaluation of digital piracy by youths. Future Internet. 2021;13(1):11. doi:10.3390/fi13010011
   Web of Science ®Google Scholar
• Reid D, Weigle P. Social media use among adolescents: benefits and risks. Adolesc Psychiatry. 2014;4(2):73–80. doi:10.2174/221067660402140709115810
   Google Scholar
• Shapiro LAS, Margolin G. Growing up wired: social networking sites and adolescent psychological development. Clin Child Fam Psychol Rev. 2014;17(1):1–18. doi:10.1007/s10567-013-0135-1
   PubMed Web of Science ®Google Scholar
• Faul F, Erdfelder E, Lang AG, Buchner A. G*Power 3: a flexible statistical power analysis program for the social, behavioral, and biomedical sciences. Behav Res Methods. 2007;39(2):175–191. doi:10.3758/BF03193146
   PubMed Web of Science ®Google Scholar
• Gignac GE, Szodorai ET. Effect size guidelines for individual differences researchers. Pers Individ Dif. 2016;102:74–78. doi:10.1016/j.paid.2016.06.069
   Web of Science ®Google Scholar
• Schmitt TA, Sass DA. Rotation criteria and hypothesis testing for exploratory factor analysis: implications for factor pattern loadings and interfactor correlations. Educ Psychol Meas. 2011;71(1):95–113. doi:10.1177/0013164410387348
   Web of Science ®Google Scholar
• Zhang G, Preacher KJ, Luo S. Bootstrap confidence intervals for ordinary least squares factor loadings and correlations in explorary factor analysis. Multivariate Behav Res. 2010;45(1):104–134. doi:10.1080/002273170903504836
   PubMed Web of Science ®Google Scholar
• Hawi NS, Blachnio A, Przepiorka A. Polish validation of the internet addiction test. Comput Hum Behav. 2015;48:548–553. doi:10.1016/j.chb.2015.01.058
   Web of Science ®Google Scholar
• Frangos CC, Frangos CC, Sotiropoulos I. A meta-analysis of the reliability of Test. Proc WCE. 2012;1:3–8.
   Google Scholar
• Moss TP, Lawson V, White P. The appearance research collaboration. Identification of the underlying factor structure of the Derriford Appearance Scale 24. Peer J. 2015;3:e1070. doi:10.7717/peerj.1070
   PubMed Web of Science ®Google Scholar
• Szcześniak M, Świątek AH, Świątek MA, Rodzeń W. Positive Downstream Indirect Reciprocity Scale (PoDIRS-6): construction and psychometric characteristics. Curr Psychol. 2020. doi:10.1007/s12144-020-00942-7
   Web of Science ®Google Scholar
• Worthington RL, Whittaker TA. Scale development research: a content analysis and recommendations for best practices. Couns Psychol. 2006;34(6):806–838. doi:10.1177/0011000006288127
   Web of Science ®Google Scholar
• Netemeyer RG, Bearden WO, Sharma S. Scaling Procedures: Issues and Applications. Thousand Oaks, CA: Sage Publications; 2003.
   Google Scholar
• Makhubela M, Mashegoane S. Establishing factorial validity of the Rosenberg self-esteem scale. In: Laher S, Fynn A, Kramer S, editors. Transforming Research Methods in the Social Sciences: Case Studies from South Africa. London: Sage Publications; 2019:52–68.
   Google Scholar
• Preacher KJ, MacCallum RC. Repairing Tom Swift’s Electric Factor Analysis Machine. Underst Stat. 2003;2(1):13–43. doi:10.1207/S15328031US0201_02
   Google Scholar
• Dol KS. Fatigue and pain related to internet usage among University students. J Phys Ther Sci. 2016;28(4):1233–1237. doi:10.1589/jpts.28.1233
   PubMedGoogle Scholar