Is it meaningful to distinguish between Facebook addiction and social networking sites addiction? Psychometric analysis of Facebook addiction and social networking sites addiction scales

Studies conducted on Social Networking Sites (SNSs) addiction have to a large extent focused on Facebook as a prototypical example of SNS. Nonetheless, the evolution of SNSs has spawn conceptual and methodological controversies in terms of the operationalization of SNS addiction. In order to bring more clarity to this field the present study aimed to investigate the construct validity of the Bergen Social Media Addiction Scale (BSMAS) in comparison to the Bergen Facebook Addiction Scale (BFAS) among 1099 young subjects (146 Facebook-only users and 953 who had an account on Facebook and at least one additional SNS). Furthermore, the study aimed to investigate the unique contribution of SNS addiction to stress and general well-being above and beyond personality characteristic and Facebook addiction specifically. Participants completed a survey assessing SNS addiction, Facebook addiction, demography, Big Five personality traits, perceived stress, and general subjective well-being. BSMAS had acceptable fit with the data and demonstrated good reliability. Results showed that the scores of BSMAS were strongly associated with those of BFAS and that the relationship between the two measures was stronger in the group of Facebook-only users than in the group of multisite-social networkers. Moreover, SNS addiction was positively associated with perceived stress and negatively associated with subjective well-being after controlling for Facebook addiction and other study variables. Theoretical and methodological implications of the findings are discussed.

[1]  E. Katz,et al.  On the use of the mass media for important things. , 1973 .

[2]  T. Kamarck,et al.  A global measure of perceived stress. , 1983, Journal of health and social behavior.

[3]  J. S. Wiggins,et al.  The five-factor model of personality : theoretical perspectives , 1996 .

[4]  P. Bentler,et al.  Cutoff criteria for fit indexes in covariance structure analysis : Conventional criteria versus new alternatives , 1999 .

[5]  R. A. Davis,et al.  A cognitive-behavioral model of pathological Internet use , 2001, Comput. Hum. Behav..

[6]  S. Gosling,et al.  A very brief measure of the Big-Five personality domains , 2003 .

[7]  S. Skevington,et al.  The World Health Organization's WHOQOL-BREF quality of life assessment: Psychometric properties and results of the international field trial. A Report from the WHOQOL Group , 2004, Quality of Life Research.

[8]  M. Griffiths.  A ‘components’ model of addiction within a biopsychosocial framework , 2005 .

[9]  James B. Schreiber,et al.  Reporting Structural Equation Modeling and Confirmatory Factor Analysis Results: A Review , 2006 .

[10]  Katherine M. White,et al.  The Theory of Planned Behavior Applied to Young People's Use of Social Networking Web Sites , 2009, Cyberpsychology Behav. Soc. Netw..

[11]  K. Young.  Internet Addiction: Diagnosis and Treatment Considerations , 2009, Journal of Contemporary Psychotherapy.

[12]  Zheng Yan,et al.  Factors affecting response rates of the web survey: A systematic review , 2010, Comput. Hum. Behav..

[13]  M. Potenza,et al.  Introduction to Behavioral Addictions , 2010, The American journal of drug and alcohol abuse.

[14]  Scott E. Caplan.  Theory and measurement of generalized problematic Internet use: A two-step approach , 2010, Comput. Hum. Behav..

[15]  M. Griffiths,et al.  Online Social Networking and Addiction—A Review of the Psychological Literature , 2011, International journal of environmental research and public health.

[16]  Rachel A. Elphinston,et al.  Time to Face It! Facebook Intrusion and the Implications for Romantic Jealousy and Relationship Satisfaction , 2011, Cyberpsychology Behav. Soc. Netw..

[17]  Alexander Serenko,et al.  The benefits and dangers of enjoyment with social networking websites , 2012, Eur. J. Inf. Syst..

[18]  C. S. Andreassen,et al.  Development of a Facebook Addiction Scale , 2012, Psychological reports.

[19]  Mark D Griffiths,et al.  Facebook Addiction: Concerns, Criticism, and Recommendations—A Response to Andreassen and Colleagues , 2012, Psychological reports.

[20]  Ståle Pallesen,et al.  Facebook Addiction: A Reply to Griffiths (2012) , 2013, Psychological reports.

[21]  A. Wu,et al.  Psychological risk factors of addiction to social networking sites among Chinese smartphone users , 2013, Journal of behavioral addictions.

[22]  Mark D Griffiths,et al.  The relationships between behavioral addictions and the five-factor model of personality. , 2013, Journal of behavioral addictions.

[23]  Antonio Bernabe-Ortiz,et al.  Association between Facebook Dependence and Poor Sleep Quality: A Study in a Sample of Undergraduate Students in Peru , 2013, PloS one.

[24]  J. Hormes,et al.  Craving Facebook? Behavioral addiction to online social networking and its association with emotion regulation deficits. , 2014, Addiction.

[25]  C. S. Andreassen,et al.  Social network site addiction - an overview. , 2014, Current pharmaceutical design.

[26]  A. Chester,et al.  The uses and abuses of Facebook: A review of Facebook addiction , 2014, Journal of behavioral addictions.

[27]  M. Brand,et al.  Prefrontal Control and Internet Addiction: A Theoretical Model and Review of Neuropsychological and Neuroimaging Findings , 2014, Front. Hum. Neurosci..

[28]  M. Griffiths,et al.  Social networking addiction: an overview of preliminary findings , 2014 .

[29]  Omar Rosas,et al.  Compulsive Use of Social Networking Sites in Belgium: Prevalence, Profile, and the Role of Attitude Toward Work and School , 2014, Cyberpsychology Behav. Soc. Netw..

[30]  M. Phanasathit,et al.  Validation of the Thai version of Bergen Facebook addiction scale (Thai-BFAS). . , 2015, Journal of the Medical Association of Thailand = Chotmaihet thangphaet.

[31]  M. Griffiths,et al.  Study Addiction – A New Area of Psychological Study: Conceptualization, Assessment, and Preliminary Empirical Findings , 2015, Journal of behavioral addictions.

[32]  C. S. Andreassen.  Online Social Network Site Addiction: A Comprehensive Review , 2015, Current Addiction Reports.

[33]  Christian Montag,et al.  Is it meaningful to distinguish between generalized and specific Internet addiction? Evidence from a cross‐cultural study from Germany, Sweden, Taiwan and China , 2015, Asia-Pacific psychiatry : official journal of the Pacific Rim College of Psychiatrists.

[34]  C. Chan,et al.  Exploring personality characteristics of Chinese adolescents with internet-related addictive behaviors: trait differences for gaming addiction and social networking addiction. , 2015, Addictive behaviors.

[35]  Morten Tromholt,et al.  The Facebook Experiment: Quitting Facebook Leads to Higher Levels of Well-Being , 2016, Cyberpsychology Behav. Soc. Netw..

[36]  M. Griffiths,et al.  The relationship between addictive use of social media and video games and symptoms of psychiatric disorders: A large-scale cross-sectional study. , 2016, Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors.

[37]  M. Griffiths,et al.  Study Addiction: A Cross-Cultural Longitudinal Study Examining Temporal Stability and Predictors of Its Changes , 2016, Journal of behavioral addictions.

[38]  Kai W. Müller,et al.  A hidden type of internet addiction? Intense and addictive use of social networking sites in adolescents , 2016, Comput. Hum. Behav..

[39]  M. Griffiths,et al.  Portuguese Validation of the Bergen Facebook Addiction Scale: an Empirical Study , 2016, International Journal of Mental Health and Addiction.

[40]  M. Griffiths,et al.  The relationship between study addiction and work addiction: A cross-cultural longitudinal study , 2016, Journal of behavioral addictions.

[41]  Ying Wang,et al.  Excessive use of Twitter among college students in the UK: Validation of the Microblog Excessive Use Scale and relationship to social interaction and loneliness , 2016, Comput. Hum. Behav..

[42]  M. Griffiths,et al.  Environmental Research and Public Health Social Networking Sites and Addiction: Ten Lessons Learned , 2022 .

[43]  Mithat Durak,et al.  The role of personality traits in Facebook and Internet addictions: A study on Polish, Turkish, and Ukrainian samples , 2017, Comput. Hum. Behav..

[44]  Jason S. Wrench,et al.  Investigating the relationships among college students' satisfaction, addiction, needs, communication apprehension, motives, and uses & gratifications with Snapchat , 2017, Comput. Hum. Behav..

[45]  M. Griffiths,et al.  The relationship between addictive use of social media, narcissism, and self-esteem: Findings from a large national survey. , 2017, Addictive behaviors.

[46]  H. Pontes.  Investigating the differential effects of social networking site addiction and Internet gaming disorder on psychological health , 2017, Journal of behavioral addictions.

[47]  M. Griffiths,et al.  Work addiction in Poland: adaptation of the Bergen Work Addiction Scale and relationship with psychopathology , 2017 .

[48]  M. Griffiths,et al.  Problematic Social Media Use: Results from a Large-Scale Nationally Representative Adolescent Sample , 2017, PloS one.

[49]  C. Ferguson,et al.  Time to abandon Internet Addiction? Predicting problematic internet, game, and social media use from psychosocial well-being and application use , 2017 .

[50]  A. Pakpour,et al.  Psychometric validation of the Persian Bergen Social Media Addiction Scale using classic test theory and Rasch models , 2017, Journal of behavioral addictions.

[51]  J. Gaskin,et al.  Psychological resilience can help combat the effect of stress on problematic social networking site usage , 2017 .

[52]  C. Tang,et al.  Online social networking addiction among college students in Singapore: Comorbidity with behavioral addiction and affective disorder. , 2017, Asian journal of psychiatry.

[53]  M. Griffiths,et al.  Social networking addiction, attachment style, and validation of the Italian version of the Bergen Social Media Addiction Scale , 2017, Journal of behavioral addictions.

[54]  Kevin D. Hyde,et al.  Tropic origins, a dispersal model for saprotrophic mushrooms in Agaricus section Minores with descriptions of sixteen new species , 2017, Scientific Reports.

[55]  A. Bechara,et al.  Brain anatomy alterations associated with Social Networking Site (SNS) addiction , 2017, Scientific Reports.

[56]  Alessio Vieno,et al.  A comprehensive meta-analysis on Problematic Facebook Use , 2018, Comput. Hum. Behav..

[57]  Xiaochun Xie,et al.  Social networking sites addiction and adolescent depression: A moderated mediation model of rumination and self-esteem , 2018, Personality and Individual Differences.

[58]  Ståle Pallesen,et al.  Facebook addiction among Polish undergraduate students: Validity of measurement and relationship with personality and well-being , 2018, Comput. Hum. Behav..

[59]  Alessio Vieno,et al.  The associations between problematic Facebook use, psychological distress and well-being among adolescents and young adults: A systematic review and meta-analysis. , 2018, Journal of affective disorders.

[60]  Ofir Turel,et al.  Short abstinence from online social networking sites reduces perceived stress, especially in excessive users , 2018, Psychiatry Research.

[61]  Wei Dong,et al.  Investigating the impact of mobile SNS addiction on individual's self-rated health , 2018, Internet Res..

[62]  M. Griffiths,et al.  Instagram addiction and the Big Five of personality: The mediating role of self-liking , 2018, Journal of behavioral addictions.

[63]  Paulo Bandiera-Paiva,et al.  Factorial and construct validity of Portuguese version (Brazil) Bergen Facebook Addiction Scale , 2018, Jornal Brasileiro de Psiquiatria.

[64]  A. Pakpour,et al.  Measurement invariance across young adults from Hong Kong and Taiwan among three internet-related addiction scales: Bergen Social Media Addiction Scale (BSMAS), Smartphone Application-Based Addiction Scale (SABAS), and Internet Gaming Disorder Scale-Short Form (IGDS-SF9) (Study Part A). , 2020, Addictive behaviors.

[65]  A. Pakpour,et al.  Time invariance of three ultra-brief internet-related instruments: Smartphone Application-Based Addiction Scale (SABAS), Bergen Social Media Addiction Scale (BSMAS), and the nine-item Internet Gaming Disorder Scale- Short Form (IGDS-SF9) (Study Part B). , 2020, Addictive behaviors.

[66]  Mark D. Griffiths,et al.  Motivational processes and dysfunctional mechanisms of social media use among adolescents: A qualitative focus group study , 2019, Comput. Hum. Behav..