Why Do Consumers Behave Differently in Personal Information Disclosure and Self-Disclosure? The Role of Personality Traits and Privacy Concern

On online social networks such as Facebook, massive self-disclosure by users has attracted the attention of Industry players and policymakers worldwide. Despite the Impressive scope of this phenomenon, very little Is understood about what motivates users to disclose personal Information. Integrating focus group results Into a theoretical privacy calculus framework, we develop and empirically test a Structural Equation Model of self-disclosure with 259 subjects. We find that users are primarily motivated to disclose Information because of the convenience of maintaining and developing relationships and platform enjoyment. Countervailing these benefits, privacy risks represent a critical barrier to information disclosure. However, users’ perception of risk can be mitigated by their trust in the network provider and availability of control options. Based on these findings, we offer recommendations for network providers.

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How consumers cope with location-based advertising (LBA) and personal information disclosure: The mediating role of persuasion knowledge, perceived benefits and harms, and attitudes toward LBA

Computers in Human Behavior ◽

10.1016/j.chb.2020.106450 ◽

2020 ◽

Vol 112 ◽

pp. 106450

Author(s):

Sann Ryu ◽

Yun-na Park

Keyword(s):

Information Disclosure ◽

Personal Information ◽

Perceived Benefits ◽

Persuasion Knowledge ◽

Mediating Role

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Investigating the Impact of Personality Traits of Social Network Sites Users on Information Disclosure in China: the Moderating Role of Gender

Information Systems Frontiers ◽

10.1007/s10796-019-09933-x ◽

2019 ◽

Vol 22 (6) ◽

pp. 1305-1321

Author(s):

Samar Mouakket ◽

Yuan Sun

Keyword(s):

Social Network ◽

Personality Traits ◽

Information Disclosure ◽

Social Network Sites ◽

The Impact ◽

Moderating Role

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The influence of personality traits and social networks on the self-disclosure behavior of social network site users

Internet Research ◽

10.1108/intr-05-2014-0145 ◽

2016 ◽

Vol 26 (3) ◽

pp. 566-586 ◽

Cited By ~ 27

Author(s):

Xi Chen ◽

Yin Pan ◽

Bin Guo

Keyword(s):

Social Capital ◽

Social Networks ◽

Social Network ◽

Personality Traits ◽

Personal Information ◽

The Self ◽

Social Network Site ◽

Self Disclosure ◽

Content Type ◽

Network Site

Purpose – The purpose of this paper is to determine the influence and interaction of social networks and personality traits on the self-disclosure behavior of social network site (SNS) users. According to social capital theory and the Big Five personality model, the authors hypothesized that social capital factors would affect the accuracy and amount of self-disclosure behavior and that personality traits would moderate this effect. Design/methodology/approach – A survey was conducted to collect data from 207 SNS users. The questionnaire was administered in university classrooms and libraries and via e-mail. The measurement model and structural model were examined by using LISREL 8.8 and SmartPLS 2.0. Findings – Based on the path analysis, the authors identified several interesting patterns to explain self-disclosure behavior on SNSs. First, the centrality of SNS users has a positive effect on their amount of self-disclosure. Moreover, people who are more extroverted disclose personal information that is more accurate with the level of the cognitive dimension held constant and disclose a greater amount of personal information with the level of the structural dimension held constant. From a practical perspective, the results may provide useful insight for companies operating SNSs. Originality/value – This study analyzed the influence of social capital factors on SNS users’ self-disclosure, as well as the interactions between personality and social capital factors. Specifically, the authors examined six important variables of social capital divided into three dimensions. This research complements current research on SNSs by focusing on SNS users’ motivation to disclose self-related information in addition to information sharing.

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Why people need privacy? The role of privacy fatigue in app users' intention to disclose privacy: based on personality traits

Journal of Enterprise Information Management ◽

10.1108/jeim-03-2020-0088 ◽

2020 ◽

Vol ahead-of-print (ahead-of-print) ◽

Author(s):

Jie Tang ◽

Umair Akram ◽

Wenjing Shi

Keyword(s):

Personality Traits ◽

Information Disclosure ◽

Personal Information ◽

Mobile Apps ◽

Equation Modeling ◽

Content Type ◽

Privacy Concerns ◽

Positive Effects ◽

Novel Concept ◽

The Impact

PurposeMobile Applications (App) privacy has become a prominent social problem. Compared with privacy concerns, this study examines a relatively novel concept of privacy fatigue and explores its effect on the users’ intention to disclose their personal information via mobile Apps. In addition, the personality traits are proposed as antecedents that will induce the personal perception of privacy fatigue and privacy concerns differently.Design/methodology/approachData were collected from 426 respondents. Structure equation modeling was used to test the hypotheses.FindingsThe findings describe that App users’ intention toward personal information disclosure is determined by privacy fatigue and privacy concerns, but the former has a greater impact. With minor exceptions, the two factors are also influenced by different personality traits. Specifically, neuroticism has positive effects on privacy fatigue, but agreeableness and extraversion have presented the opposite results on the two variables.Practical implicationsThis research is very scarce to examine the joint effects of privacy fatigue, privacy concerns and personality traits on App users’ disclosing intention. In doing so, these results will be of benefit to App providers and platform managers and can be the basis for a variety of follow-up studies.Originality/valueWhile previous research just focuses on privacy concerns, this study explores the critical roles of privacy fatigue and opens up a new avenue of emotion-attitude analysis that can further increase the specificity and richness of users’ privacy research. Additionally, implications for personality traits as antecedents in the impact of App users’ privacy emotions and attitudes are discussed.

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Hello Stranger!

International Journal of Cyber Behavior Psychology and Learning ◽

10.4018/ijcbpl.2015010104 ◽

2015 ◽

Vol 5 (1) ◽

pp. 42-55 ◽

Cited By ~ 3

Author(s):

Sophie E. Tait ◽

Debora Jeske

Keyword(s):

Information Disclosure ◽

Online Survey ◽

Sensitive Information ◽

Self Disclosure ◽

Amount Of Information ◽

Propensity To Trust ◽

Profile Characteristics

The current study examined the role of personality attributes and online profile characteristics as predictors of self-disclosure. The authors were specifically interested to learn how personality and profile attractiveness influenced the quantity and type of information individuals would be willing to share about themselves with a potential dating partner who they have never met before. The results of the online survey with 149 female participants revealed that the propensity to trust and extraversion were significant positive predictors of self-reported tendency to self-disclose potentially sensitive and identifying information, while greater profile attractiveness further increased the amount of information they were willing to share. These findings suggest that information disclosure is in part driven by personality and context, which has potential implications for how careful individuals are about revealing potentially sensitive information to strangers.

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Effect of Privacy Concern on Self-disclosure in Social Media: The Moderating Role of Social Relevance

The Journal of Internet Electronic Commerce Resarch ◽

10.37272/jiecr.2019.06.19.3.1 ◽

2019 ◽

Vol 19 (3) ◽

pp. 1-19 ◽

Cited By ~ 1

Author(s):

Seong Wook Chae

Keyword(s):

Social Media ◽

Privacy Concern ◽

Social Relevance ◽

Self Disclosure ◽

Moderating Role

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Parental Mediation Strategies and Their Role on Youths’ Online Privacy Disclosure and Protection

European Psychologist ◽

10.1027/1016-9040/a000450 ◽

2021 ◽

Author(s):

Maria Grazia Lo Cricchio ◽

Benedetta E. Palladino ◽

Androulla Eleftheriou ◽

Annalaura Nocentini ◽

Ersilia Menesini

Keyword(s):

Privacy Protection ◽

Information Disclosure ◽

Personal Information ◽

Parental Mediation ◽

Online Privacy ◽

Future Research ◽

Attitudes And Beliefs ◽

Privacy Management ◽

Scientific Databases

Abstract. The amount of personal information shared online every day by youths without control has raised concerns about their vulnerability to privacy disclosure. Parental mediation strategies have been considered as important aspects that can contribute to the reduction of online-related risks. However, research on this field has shown puzzling results and there is not a consistent investigation of the specific role of parental mediation in youths’ online privacy management. Therefore, this systematic review was aimed at examining the evidence for associations between different parental mediation strategies and aspects of both privacy disclosure and protection. The search was conducted in December 2019 in the SCOPUS and Web of Science scientific databases and resulted in 17 studies that have been included in our review. Taken together, the results confirm that mediation practices can be considered as important variables for the reduction of information disclosure and for enhancing privacy protection. However, some specificities emerged. Restrictive forms of mediation showed clear negative associations with disclosing behaviors, whereas active strategies showed more contrasting results. Moreover, restrictive practices seemed to be less linked to attitudes and beliefs of privacy protection than active forms. More research is needed concerning the role of co-viewing strategies. Findings were discussed in terms of future research and intervention.

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CEPTM: A Cross-Edge Model for Diverse Personalization Service and Topic Migration in MEC

Wireless Communications and Mobile Computing ◽

10.1155/2018/8056195 ◽

2018 ◽

Vol 2018 ◽

pp. 1-12 ◽

Cited By ~ 7

Author(s):

Hongchen Wu ◽

Huaxiang Zhang ◽

Lizhen Cui ◽

Xinjun Wang

Keyword(s):

Information Disclosure ◽

Management Strategies ◽

Mobile User ◽

High Rate ◽

Privacy Concern ◽

Self Disclosure ◽

Privacy Concerns ◽

Individual Privacy ◽

Computing Paradigm ◽

User Data

For several reasons, the cloud computing paradigm, e.g., mobile edge computing (MEC), is suffering from the problem of privacy issues. MEC servers provide personalization services to mobile users for better QoE qualities, but the ongoing migrated data from the source edge server to the destination edge server cause users to have privacy concerns and unwillingness of self-disclosure, which further leads to a sparsity problem. As a result, personalization services ignore valuable user profiles across edges where users have accounts in and tend to predict users’ potential purchases with insufficient sources, thereby limiting further improvement of QoE through personalization of the contents. This paper proposes a novel model, called CEPTM, which (1) collects mobile user data across multiple MEC edge servers, (2) improves the users’ experience in personalization services by loading collected diverse data, and (3) lowers their privacy concern with the improved personalization. This model also reveals that famous topics in one edge server can migrate into several other edge servers with users’ favorite content tags and that the diverse types of items could increase the possibility of users accepting the personalization service. In the experiment section, we use exploratory factor analysis to mathematically evaluate the correlations among those factors that influence users’ information disclosure in the MEC network, and the results indicate that CEPTM (1) achieves a high rate of personalization acceptance due to the availability of more data as input and highly diverse personalization as output and (2) gains the users’ trust because it collects user data while respecting individual privacy concerns and providing better personalization. It outperforms a traditional personalization service that runs on a single-edge server. This paper provides new insights into MEC diverse personalization services and privacy problems, and researchers and personalization providers can apply this model to merge popular users’ like trends throughout the MEC edge servers and generate better data management strategies.

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Low Self-Control, Information Disclosure, and the Risk of Online Fraud

American Behavioral Scientist ◽

10.1177/0002764218787854 ◽

2018 ◽

Vol 62 (10) ◽

pp. 1356-1371 ◽

Cited By ~ 7

Author(s):

Gustavo S. Mesch ◽

Matias Dodel

Keyword(s):

Information Disclosure ◽

Personal Information ◽

Secondary Analysis ◽

Self Control ◽

Online Fraud ◽

Online Victimization ◽

Control Information ◽

Online Activities ◽

Low Self Control

This study investigates the risk of being a target of an attempt at fraud through email by assessing the role of low self-control, online activities, and the disclosure of personal information. A secondary analysis of the 2014 U.S. “Caught in the Scammers’ Net”, a national survey of online victimization ( N = 1,539), indicates that those with low self-control and individuals who engage in online activities are more likely to disclose personal information online. The risk of being targeted with a fraudulent offer is also associated with low self-control and online routine activities. Responding to a fraudulent offer is associated with disclosing personal information online and low self-control. Taken together, our empirical evidence strengthens the central role of low self-control theory.

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