Living a private life in public social networks: An exploration of member self-disclosure

Abstract In this article, the author examines voluntary self-disclosure phenomenon among social networking sites. Self-disclosure enables member interactions, service customizations, targeted marketing, and digital content generation; hence the level of self-disclosure is imperative to the success of social networking sites. Yet, members are often reluctant to reveal themselves despite their desire for socialization in the ever-increasingly popular cyber community. Drawing upon relevant literature, we developed a succinct research model that identifies key stimuli and inhibitors of member self-disclosure. These influences stem from personality traits (e.g., extroversion and privacy value), networking service attributes (e.g., perceived critical mass), and computing environments (e.g., perceived Internet risk). The research model was validated through survey data collected from 222 social networking site users and the analysis results provided support to the hypothesized relationships. The current study generates new knowledge concerning the roles that varying factors play in shaping members' self-disclosure; it also informs networking service providers about how to better encourage members to reveal themselves online.

[1]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

[2]  Nicole B. Ellison,et al.  Social network sites: definition, history, and scholarship , 2010 .

[3]  Dong-Hee Shin,et al.  The effects of trust, security and privacy in social networking: A security-based approach to understand the pattern of adoption , 2010, Interact. Comput..

[4]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .

[5]  Diane M. Strong,et al.  Perceived critical mass effect on groupware acceptance , 2000, Eur. J. Inf. Syst..

[6]  Elizabeth Sillence,et al.  It won't happen to me: Promoting secure behaviour among internet users , 2010, Comput. Hum. Behav..

[7]  Andrew B. Whinston Opportunities and Challenges in Analysis of Social Netowrks , 2009, AMCIS.

[8]  Lorenz M. Hilty,et al.  What Kind of Information Society? Governance, Virtuality, Surveillance, Sustainability, Resilience - 9th IFIP TC 9 International Conference, HCC9 2010 and 1st IFIP TC 11 International Conference, CIP 2010, Held as Part of WCC 2010, Brisbane, Australia, September 20-23, 2010. Proceedings , 2010, HCC.

[9]  Deb Sledgianowski,et al.  Using Social Network Sites: The Effects of Playfulness, Critical Mass and Trust in a Hedonic Context , 2009, J. Comput. Inf. Syst..

[10]  H. Raghav Rao,et al.  A trust-based consumer decision-making model in electronic commerce: The role of trust, perceived risk, and their antecedents , 2008, Decis. Support Syst..

[11]  Ryad Titah,et al.  Nonlinearities Between Attitude and Subjective Norms in Information Technology Acceptance: A Negative Synergy? , 2009, MIS Q..

[12]  Kenneth E. Hart,et al.  Narcissism , 2005 .

[13]  Erika Pearson,et al.  Making a Good (Virtual) First Impression: The Use of Visuals in Online Impression Management and Creating Identity Performances , 2010, HCC.

[14]  K. Jöreskog,et al.  Intraclass Reliability Estimates: Testing Structural Assumptions , 1974 .

[15]  Cynthia K. Riemenschneider,et al.  An Examination of Privacy Concerns and Trust Entities in Determining Willingness to Disclose Personal Information on a Social Networking Site , 2010, AMCIS.

[16]  M. S. Dixon,et al.  Values , 2000, Pediatrics.

[17]  Traci Carte,et al.  In Pursuit of Moderation: Nine Common Errors and Their Solutions , 2003, MIS Q..

[18]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[19]  H. Jeff Smith,et al.  Values, personal information privacy, and regulatory approaches , 1995, CACM.

[20]  Mayuram S. Krishnan,et al.  The Personalization Privacy Paradox: An Empirical Evaluation of Information Transparency and the Willingness to be Profiled Online for Personalization , 2006, MIS Q..

[21]  Thomas F. Stafford,et al.  Perceived critical mass and the adoption of a communication technology , 2007, Eur. J. Inf. Syst..

[22]  Eileen Wood,et al.  All about me: Disclosure in online social networking profiles: The case of FACEBOOK , 2010, Comput. Hum. Behav..

[23]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[24]  H. Markus,et al.  Possible Selves , 2001 .

[25]  Li Qin,et al.  The Effects of Privacy Concern and Social Influence on User Acceptance of Online Social Networks , 2009, AMCIS.

[26]  John R. Venable,et al.  Understanding information disclosure behaviour in Australian Facebook users , 2010, J. Inf. Technol..

[27]  Elena Kolesnikova,et al.  "It Won't Happen To Me!": Self-Disclosure in Online Social Networks , 2009, AMCIS.

[28]  Patrick Y. K. Chau,et al.  Understanding Individual Adoption of Instant Messaging: An Empirical Investigation , 2005, J. Assoc. Inf. Syst..

[29]  Age , 2000, BMJ : British Medical Journal.

[30]  Jennifer Glenar Fisher Implications of electronic mail policies for fairness and invasion of privacy : a field experiment , 2002 .

[31]  Chaelynne M. Wolak Assessing User Competence: Conceptualization and Measurement , 2000 .

[32]  Thompson S. H. Teo,et al.  Mind your E-manners: Impact of cyber incivility on employees' work attitude and behavior , 2009, Inf. Manag..

[33]  Xi Chen,et al.  Factors Affecting Privacy Disclosure on Social Network Sites: An Integrated Model , 2010 .

[34]  Albert H. Segars,et al.  An Empirical Examination of the Concern for Information Privacy Instrument , 2002, Inf. Syst. Res..

[35]  Yixin Zhang,et al.  Age, gender, and Internet attitudes among employees in the business world , 2005, Comput. Hum. Behav..

[36]  Joseph E. McGrath,et al.  Dilemmatics: The Study of Research Choices and Dilemmas , 1981 .

[37]  Nancy K. Lankton,et al.  Social Networking Information Disclosure and Continuance Intention: A Disconnect , 2011, 2011 44th Hawaii International Conference on System Sciences.

[38]  Yi Zhao,et al.  Effects of System Characteristics on Users' Self-Disclosure in Social Networking Sites , 2010, 2010 Seventh International Conference on Information Technology: New Generations.

[39]  Rui Chen,et al.  Visual e-mail authentication and identification services: An investigation of the effects on e-mail use , 2009, Decis. Support Syst..

[40]  Eugene F. Stone Research methods in organizational behavior , 1978 .

[41]  D. Goh,et al.  Narcissism, extraversion and adolescents' self-presentation on Facebook. , 2011 .

[42]  Gilbert A. Churchill A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[43]  Tim Weitzel,et al.  The Influence of Perceived Risks on Banking Managers' Intention to Outsource Business Processes: A Study of the German Banking and Finance Industry , 2006 .

[44]  Hui Liao,et al.  Perceived deep-level dissimilarity: Personality antecedents and impact on overall job attitude, helping, work withdrawal, and turnover , 2008 .

[45]  Hock Chuan Chan,et al.  Understanding Users' Continuance of Facebook: The Role of General and Specific Computer Self-Efficacy , 2008, ICIS.

[46]  Paul A. Pavlou,et al.  Consumer Acceptance of Electronic Commerce: Integrating Trust and Risk with the Technology Acceptance Model , 2003, Int. J. Electron. Commer..

[47]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[48]  Deb Sledgianowski,et al.  Social Network Sites: Antecedents of User Adoption and Usage , 2008, AMCIS.

[49]  Leigh Jin,et al.  Online Reputation Systems in Web 2.0 Era , 2009, AMCIS/SIGeBIZ.

[50]  Tom L. Roberts,et al.  Proposing the online community self-disclosure model: the case of working professionals in France and the U.K. who use online communities , 2010, Eur. J. Inf. Syst..

[51]  Ofer Arazy,et al.  A Theory-Driven Design Framework for Social Recommender Systems , 2010, J. Assoc. Inf. Syst..

[52]  Bernardo A. Huberman,et al.  Rhythms of social interaction: messaging within a massive online network , 2006, ArXiv.

[53]  P. Costa,et al.  Revised NEO Personality Inventory (NEO-PI-R) and NEO-Five-Factor Inventory (NEO-FFI) , 1992 .

[54]  Xin Luo,et al.  Please Scroll down for Article Journal of Organizational Computing and Electronic Commerce Understanding the Determinants of User Acceptance of Enterprise Instant Messaging: an Empirical Study Understanding the Determinants of User Acceptance of Enterprise Instant Messaging: an Empirical Study , 2022 .

[55]  Cheri J. Simonds,et al.  I'll See You On “Facebook”: The Effects of Computer-Mediated Teacher Self-Disclosure on Student Motivation, Affective Learning, and Classroom Climate , 2007 .

[56]  North Dakota,et al.  Adoption of Electronic Health Records in , 2013 .

[57]  Alessandro Acquisti,et al.  Information revelation and privacy in online social networks , 2005, WPES '05.

[58]  D. Sandy Staples,et al.  A Self-Efficacy Theory Explanation for the Management of Remote Workers in Virtual Organizations , 1999, J. Comput. Mediat. Commun..

[59]  Danah Boyd,et al.  Social Network Sites: Definition, History, and Scholarship , 2007, J. Comput. Mediat. Commun..

[60]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

[61]  Yong Jin Kim,et al.  Do visitors' interest level and perceived quantity of web page content matter in shaping the attitude toward a web site? , 2006, Decis. Support Syst..

[62]  Oliver Günther,et al.  Investigating the Value of Privacy in Online Social Networks: Conjoint Analysis , 2009, ICIS.

[63]  Sirkka L. Jarvenpaa,et al.  Consumer trust in an Internet store , 2000, Inf. Technol. Manag..

[64]  Danah Boyd,et al.  Friendster and publicly articulated social networking , 2004, CHI EA '04.

[65]  Heng Xu,et al.  Examining the Formation of Individual's Privacy Concerns: Toward an Integrative View , 2008, ICIS.

[66]  S. Sitkin,et al.  Determinants of Risky Decision-Making Behavior: A Test of the Mediating Role of Risk Perceptions and Propensity , 1995 .

[67]  Brian S. Butler,et al.  I Didn't Know You Could See That: The Effect of Social Networking Environment Characteristics on Publicness and Self-Disclosure , 2009, AMCIS.

[68]  L. Miller,et al.  Self-disclosure and liking: a meta-analytic review. , 1994, Psychological bulletin.

[69]  Alan R. Dennis,et al.  CONDUCTING RESEARCH IN INFORMATION SYSTEMS , 2001 .

[70]  Xiaolong Zhang,et al.  Information Disclosure and Online Social Networks: From the Case of Facebook News Feed Controversy to a Theoretical Understanding , 2010, AMCIS.

[71]  Izak Benbasat,et al.  The Antecedents of Customer Self-Disclosure to Online Virtual Advisors , 2009, ICIS.

[72]  Long Wang,et al.  Empirical analysis of online social networks in the age of Web 2.0 , 2008 .

[73]  Cliff Lampe,et al.  A familiar face(book): profile elements as signals in an online social network , 2007, CHI.

[74]  Yan Xu,et al.  Examining user acceptance of SMS: An empirical study in China and Hong Kong , 2008, PACIS.

[75]  Janice Lo,et al.  Privacy Concern, Locus of Control, and Salience in a Trust-Risk Model of Information Disclosure on Social Networking Sites , 2010, AMCIS.

[76]  Chang Liu,et al.  Beyond concern - a privacy-trust-behavioral intention model of electronic commerce , 2004, Inf. Manag..

[77]  Hsi-Peng Lu,et al.  The influence of extro/introversion on the intention to pay for social networking sites , 2010, Inf. Manag..

[78]  V. J. Delreg Appropriateness of self-disclosure , 1979 .

[79]  Seungyeop Han,et al.  Analysis of topological characteristics of huge online social networking services , 2007, WWW '07.

[80]  Paul A. Pavlou,et al.  From IT Leveraging Competence to Competitive Advantage in Turbulent Environments: The Case of New Product Development , 2006, Inf. Syst. Res..

[81]  D R Papini,et al.  Early adolescent age and gender differences in patterns of emotional self-disclosure to parents and friends. , 1990, Adolescence.

[82]  Amy L. Pablo,et al.  Reconceptualizing the Determinants of Risk Behavior , 1992 .

[83]  Jocelyn M. DeGroot,et al.  Attitudes Toward Online Social Connection and Self-Disclosure as Predictors of Facebook Communication and Relational Closeness , 2011, Commun. Res..

[84]  Sirkka L. Jarvenpaa,et al.  Perils of Internet fraud: an empirical investigation of deception and trust with experienced Internet consumers , 2000, IEEE Trans. Syst. Man Cybern. Part A.

[85]  Alice E. Marwick 'I’m a Lot More Interesting than a Friendster Profile': Identity Presentation, Authenticity and Power in Social Networking Services , 2005 .

[86]  Peter A. Rosen,et al.  The Impact of the Big Five Personality Traits on the Acceptance of Social Networking Website , 2008, AMCIS.

[87]  Mary-Anne Williams,et al.  Privacy in Social Networks: a Comparative Study , 2009, PACIS.

[88]  Aaron Smith,et al.  Social Media & Mobile Internet Use among Teens and Young Adults. Millennials. , 2010 .

[89]  Patrick Y. K. Chau,et al.  A Comparative Study of Individual Acceptance of Instant Messaging in the US and China: A Structural Equation Modeling Approach , 2010, Commun. Assoc. Inf. Syst..

[90]  Rui Chen,et al.  Electronic Monitoring in Workplace: Synthesis and Theorizing , 2007, AMCIS.

[91]  Namkee Park,et al.  Motivations, Impression Management, and Self-Disclosure in Social Network Sites , 2009 .