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This study aims to investigate the cybersecurity awareness manifested as protective behavior to explain self-disclosure in social networking sites. The disclosure of information about oneself is associated with benefits as well as privacy risks. The individuals self-disclose to gain social capital and display protective behaviors to evade privacy risks by careful cost-benefit calculation of disclosing information.

This study explores the role of cyber protection behavior in predicting self-disclosure along with demographics (age and gender) and digital divide (frequency of Internet access) variables by conducting a face-to-face survey. Data were collected from 284 participants. The model is validated by using multiple hierarchal regression along with the artificial intelligence approach.

The results revealed that cyber protection behavior significantly explains the variance in self-disclosure behavior. The complementary use of five machine learning (ML) algorithms further validated the model. The ML algorithms predicted self-disclosure with an area under the curve of 0.74 and an F1 measure of 0.70.

The findings suggest that costs associated with self-disclosure can be mitigated by educating the individuals to heighten their cybersecurity awareness through cybersecurity training programs.

This study uses a hybrid approach to assess the influence of cyber protection behavior on self-disclosure using expectant valence theory (EVT).

The purpose of this research is to investigate how postpartum mothers conduct self-disclosure on social media may obtain social support and therefore improve their depressive mood.

The authors extract variables of self-disclosure by manual coding postpartum mothers' 835 posts from a parenting social media in China. The ordinary least squares model and the binary logistic regression model are used to test the proposed hypotheses.

The study suggests that both mothers' superficial level disclosure and personal level disclosure positively affect online social support received, and the effect of personal level disclosure on social support is much greater than that of superficial level disclosure. Online social support received is related to the content of the post and reduces mothers' depressive mood. The authors further find that the association between personal level disclosure and depressive mood is fully mediated by social support.

The data are collected from a parenting social network. Although it is the major parenting social media with the most users in China, the generalizability of this model and the findings to other social media need additional research.

This study offers implications for researchers and practitioners with regard to social media uses and impacts, which also has important implications for policy and interventions for the mental health of mothers.

This paper makes theoretical contributions to the literature of social penetration theory and social support by (1) dividing self-disclosure into superficial level disclosure and personal level disclosure according to the intimacy of self-disclosure; (2) empirically investigating the direct effect of online self-disclosure on social support and the mediating effect of social support between online self-disclosure and mothers' depressive mood.

This study examines whether relational capital influences self-disclosure behavior through the mechanism of needs-based motivation in virtual communities.

This study adopts hierarchical linear model (HLM) to differentiate between the relationships at different levels, with 378 online questionnaires recovered from 42 virtual communities.

The results show that group-level relational capital is positively related to self-disclosure and affects it through the partially mediating mechanism of motivation. Relational capital also strengthens the positive influence of the need to be on trend on individual self-disclosure behavior.

This study makes four research contributions. Firstly, we identify the means by which relational capital established within a virtual community influences user disclosure behavior. This focus differs from those of previous studies, which have emphasized privacy and security of information systems, cost–benefit considerations, and/or adopted personality traits as the research basis. Secondly, this study examines and verifies the mediating mechanism of motivation, establishing an alternative perspective for theoretical studies, and providing future studies with a reference for investigating the self-disclosure behavior of members. Thirdly, this research introduces and verifies the moderating effects of relational capital based on member relationships, thus making further theoretical and empirical contributions. Finally, we adopt HLM to conduct our analyses, thereby ensuring higher precision regarding the explanatory power of group-level explanatory variables for individual-level dependent variables.

The Internet enables various voices and opinions that previously did not participate in the community discourse to express themselves. People with mental illnesses make use of social networks to advance their special needs in varied ways. The study aims to examine the nature of the discourse that takes place in public and private groups of people with mental illnesses.

The research corpus consisted of the content of 615 messages taken from public and private groups of people with mental illnesses in Facebook. Linguistic parameters (the total number of words, the number of words in the first person) were examined for each message. Two skilled judges classified the messages on a self-disclosure scale to determine the degree of disclosure of personal information, thoughts and emotions.

The results of the study indicate that the messages published in public groups are longer than the messages in private groups; however, the level of personal disclosure in messages written in private groups is deeper than in messages written in public groups. In addition, the level of self-disclosure in opening posts was found to be greater than the level of self-disclosure in comments.

In the study, the authors focus on the ways people in excluded populations make use of virtual tools to advance both their personal and social needs.

The study is innovative, as it explores the discourse of people with mental illnesses in public and private groups on Facebook.

The purpose of this paper is to examine the relative impacts of perceived cost, perceived benefits, and social influence on self-disclosure behaviors in social networking sites under an integrated theoretical framework.

Building upon social exchange theory and privacy calculus theory, an integrated model was developed. The model was tested empirically using a sample of 405 social networking site’s users. Users were required to complete a survey regarding self-disclosure behaviors in Facebook.

The results indicate that social influence is the factor which exhibits the strongest effect on self-disclosure in social networking sites, followed by perceived benefits. Surprisingly, perceived privacy risk does not have any significant impact on self-disclosure.

The results inform researchers about the importance to incorporate social influence factors and cultural factors into future online self-disclosure study.

The results suggest that users focus on the benefits as well as social influence when they decide to reveal personal information in social networking sites, but pay less attention to the potential privacy risks. Educators are advised to launch educational programs to raise students’ awareness to the potential risks of self-disclosure in social networking sites. Service providers of social networking sites are encouraged to provide intuitive privacy indices showing users the levels of privacy protection.

This paper is one of the first to develop and empirically tests an integrated model of self-disclosure in social networking sites.

Given the importance of online social network (OSN) media features, many studies have focused on how different types of OSNs with various media features influence users’ usage and engagement. However, a recent literature review indicates that few empirical studies have considered how different types of OSNs with different information accessibility levels influence users’ beliefs and self-disclosure. By comparing two OSN platforms (OSNs with high-level information accessibility vs OSNs with low-level information accessibility), the purpose of this paper is to address this opportunity by investigating the differential impacts of the two platforms on individuals’ psychological cognition – particularly users’ social exchange beliefs – and explaining how these beliefs translate into OSN self-disclosure.

This study used a factorial design approach in an experimental setting to examine how different levels of information accessibility (high vs low), influence the social exchange beliefs (i.e. perceived social capital bridging, perceived social capital bonding and perceived privacy risks) of OSN users and subsequently influence OSN self-disclosure.

The results show that users on OSNs with high-level information accessibility express significantly higher perceived social capital bridging and perceived privacy risks than users on OSNs with low-level information accessibility. However, users on OSNs with low-level information accessibility express higher social bonding beliefs than users on OSNs with high-level information accessibility, indicating that there are different effect mechanisms toward OSN self-disclosure.

The focus of this research helps unveil the complex relationships between OSN design features (e.g. information accessibility), psychological cognition (e.g. social capital bridging, social capital bonding and privacy risks) and OSN self-disclosure. First, it clarifies the relationship between information accessibility and self-disclosure by examining the mediating effect of three core social exchange beliefs. Second, it uncovers the distinct effects of high-level information-accessible OSNs and low-level information-accessible OSNs on OSN self-disclosure.

This paper aims to explore how and why salespeople enhance or hinder long-term business-to-business (B2B) customer relationships at the interpersonal level by considering self-disclosure and relational cost and reward evaluations.

Data from interviews (N = 47) with B2B sales professionals were analyzed, focusing on the shift of the phases in long-term B2B customer relationships.

Long-term B2B customer relationships evolve at the interpersonal level through a process of continuous relational cost and reward evaluation, self-disclosure and business disclosure in three phases: becoming business partners, collaborative partners and collaborative and personal partners. The reward evaluations progress from being business related to including even more relational benefits. Disclosure progresses through general business disclosure and general self-disclosure; strategic business disclosure and personal life self-disclosure; and synergistic business disclosure and private self-disclosure.

The long-term B2B customer relationships could be studied at the interpersonal level from the customer’s perspective. Self-disclosure could be studied in cross-cultural settings as well as gender differences should be considered in future studies. Business and social penetration theory could be applied to investigate different types of relationships and other professional relationships, such as those between employers and employees. It would be important to test whether the business-related and self-disclosure subtypes apply to the development of other types of professional relationships or whether other disclosure subtypes exist. The authors recommend exploring salespeople’s and customers’ privacy management strategies in multiple communication channels.

Managers may apply the results of this study in their customer relationship management and sales training.

The findings outline a contextual extension of social penetration theory.

Social networking sites (SNS) are changing the methods of social connectivity – and what it means to be public. Existing literature hints at competing perspectives on how the public nature of these sites impacts users. The question of how the perceived publicness of SNSs influences users' self‐disclosure intentions is debated in the literature, and the aim of this paper is to answer this debate.

This paper theorizes competing perspectives on the role of publicness on self‐disclosure. Competing perspectives are tested using data collected via an online survey.

The study finds support for the perceived publicness of a SNS negatively influencing users' self‐disclosure intentions. Additionally, exploratory analysis of self‐disclosure items ubiquitous to most SNSs found that perceived publicness negatively influences users' intention to self‐disclose items related to users' likes and affiliations.

Variables of the study were self‐reported and, as such, are subject to the typical limitations of cross‐sectional, survey‐based research. Future research should seek to examine how perceived publicness and other variables impact self‐disclosure in SNSs over time.

Business models utilizing social networking technologies rely on users' willingness to engage in self‐disclosure. This research provides a theoretical link between the public nature of a social networking environment and users' willingness to self‐disclose. Highlighting perceived publicness as an important aspect of an environment could be one way to address the need to elicit and manage users' self‐disclosure.

The paper utilizes a unique, but established, method of competing hypotheses to understand the role of the public nature of SNSs.

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.

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.

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.

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.

This study aims to integrate and extend existing approaches from self-identity literature by examining the underexplored aspects of online private self-disclosure. The study first explores the experiential value co-created when consumers voluntarily self-disclose on public platforms. Second, it sheds light on what motivates such consumers to disclose private self-images and experiences, thus giving up some degree of privacy on an unrestricted platform.

This study conducted 65 laddering interviews and observed the profiles of ten consumers, who actively posted self-images on Instagram, through a netnographic study. Then, this study implemented a means-ends chain analysis on interview data.

This study found that online private self-disclosure can involve a co-created experiential value that consists of consumers’ self-affirmation, affective belief and emotional connection. These value components derive from three higher-order psychological consequences – empowerment, buffering offline inadequacy of self-worth and engagement – and four functional consequences – opportunity to learn, online control, self-brand authenticity and impression management.

Operationally, this study proposes that Instagram could be configured and synched with other social networking sites to provide a more complete representation of the online self. Using algorithms that simultaneously pull from other social networking sites can emotionally connect consumers to a more relevant and gratifying personalized experience. Additionally, managers could leverage the findings to tailor supporting tools to transfer consumers’ private self-disclosure skills learned during online communication into their offline settings.

This research contributes to the extant marketing literature by providing insights into how consumers can use private self-disclosure to co-create experiential value, an emerging concept in modern marketing that is key to attaining satisfied and loyal consumers. This study shows that, even in anonymous online settings, consumers are willing to self-disclose and progress to stable intimate exchanges of disclosure by breaking their inner repression and becoming more comfortable with releasing their desires in an emotional exchange.