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Hair loss is often overlooked but psychologically challenging. However, the emergence of online health communities provides opportunities for hair loss patients to seek social support through self-disclosure. Nevertheless, not all disclosures receive the desired support. This research explores what patients disclose within the community and how their health narrative (content, form and linguistic style) regarding self-disclosure influences the social support they receive.

This study investigated a 13-year-old online support group for Chinese hair loss patients with nearly 240,000 members. Using structural topic modeling, Linguistic Inquiry and Word Count, and a negative binomial model, the research analyzed the content of self-disclosure and the interrelationships between social support and three narrative dimensions of self-disclosure.

Self-disclosures are classified into 14 topics, grouped under analytical, informative and emotional categories. Emotion-related self-disclosures, whether in content or effective word use, receive deeper social support. Longer and image-rich posts attract more support in quantity, but not necessarily in quality, while cognitive words have a limited impact.

This study addresses the previously overlooked population of hair loss patients within online health communities. It employs a more comprehensive health narrative framework to explore the relationship between self-disclosure and social support, utilizing unsupervised structural topic modeling methods to mine text. The research offers practical implications for how patients seek support and for healthcare professionals in developing doctor-patient communication strategies.

Researchers continue to address the concept of self-disclosure because it is foundational for helping social networking sites (SNS) function and thrive. Nevertheless, the authors' literature review indicates that uncertainty remains around the underlying mechanisms and factors involved in the self-disclosure process. The purpose of this research is to better understand the self-disclosure process from the lens of dual-process theory (DPT). The authors consider both the controlled factors (i.e. self-presentation and reciprocity) and an automatic factor (i.e. social influence to use an SNS) involved in self-disclosure and broaden The authors proposed a model to include the interactive facets of enjoyment.

The proposed model was empirically validated by conducting a survey among users of WeChat Moments in China.

As hypothesized, this research confirms that enjoyment and automatic processing (i.e. social influence to use an SNS) are complementary in the SNS self-disclosure process and enjoyment negatively moderates the positive relationship between controlled factor (i.e. self-presentation) and self-disclosure.

Theoretically, this study offers a new perspective on explaining SNS self-disclosure by adopting DPT. Specifically, this study contributes to the extant SNS research by applying DPT to examine how the controlled factors and the automatic factor shape self-disclosure processes and how enjoyment influences vary across these processes – enriching knowledge about SNS self-disclosure behaviors. Practically, the authors provide important design guidelines to practitioners concerning devising mechanisms to foster more automatic-enjoyable value-added functions to improve SNS users' participation and engagement.

In this study, we drew on the theories of social exchange and social learning and hypothesized that the online social capital (SC) and offline SC of social networking affect the online self-disclosure (OSD) of individuals through social self-efficacy (SSE).

After retrieving 514 valid questionnaires, we used structural equation modeling to analyze the data.

The results indicated that the users’ SSE affected their OSD, and that both online and offline bridging and bonding SC increased their SSE. However, online bonding SC directly affected their OSD, whereas online bridging SC did not considerably affect their OSD. Given these findings, we presented both theoretical and practical implications to elucidate SSE and OSD behavior from the perspective of online and offline bridging and bonding SC.

In this study, we drew on theories of social exchange and social learning to examine the effects of online and offline bridging and bonding SC on users’ SSE and OSD on SNSs. Given the importance of SC and SSE in social relationships and the effects of OSD on SNSs, our goal was to provide SNS marketers with a thorough understanding of how to facilitate SSE and OSD from the perspective of online and offline bridging and bonding SC.

Online platforms are providing diversified and personalized services with user information. Users should decide if they should give up parts of information for convenience, with their information being at the risk of being illegally collected, leaked, spread and misused. This study aims to explore the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust, and the authors extend previous research with two moderators.

Based on 48 independent empirical studies, this paper conducted a meta-analysis to synthesize existing results from collected individual studies. This meta-analysis explored the main factors influencing users' online information disclosure intention from the perspectives of privacy, technology acceptance and trust.

The meta-analysis results based on 48 independent studies revealed that perceived benefit, trust, subjective norm and perceived behavioral control have significant positive effects, while perceived privacy risk and privacy concern have significant negative effects. Moreover, cultural background and platform type moderate the relationship between antecedents and online information disclosure intention.

This paper explored the moderating effects of an individual factor and a platform factor on users' online information disclosure intention. The moderating effect of cultural differences is examined with Hofstede's dimensions, and the moderating role of the purpose of online information disclosure is examined with platform type. This study extends online information disclosure literature with a multi-perspective meta-analysis and provides guidelines for practitioners.

The purpose of this paper is to examine the behavior of self-disclosure among Saudi women and men in an attempt to understand gender differences in language. The study also gives insights about the cultural norms and how they affect language production.

The author utilized Levi-Belz and Kreiner's (2019) three-dimensional tool of self-disclosure; namely, the HOW MUCH dimension, the WHAT dimension and the HOW dimension. The HOW MUCH dimension is measured through word count of self-disclosure and the duration of self-disclosure in spoken discourse. The WHAT dimension is measured through analyzing the topics, emotions and social actors that are discussed during self-disclosure episodes. The HOW dimension is measured through examining the acoustic features of self-disclosure such as intonation, loudness and fluency.

Saudi women tend to engage in more self-disclosure than Saudi men, and their self-disclosure tends to be longer and more detailed. Women also tend to use more intonation variability and softer loudness, reflecting the cultural norms of politeness and reservation. Both genders tend to use similar frequencies of positive and negative emotion words in their self-disclosure, with positive emotion words correlating more with personal self-disclosure and negative emotion words with self-disclosures about loss, failure, conflict, rejection and uncertainty. The data also show that the use of reflective verbs leads to more authentic and empathetic communication and that pronoun use correlates with the type of emotional experience being discussed.

This study has limitations due to a small sample size. Future research should use larger and diverse samples to explore self-disclosure in Saudi televised interviews comprehensively. The study focused solely on televised interviews; future research can examine self-disclosure across various media platforms. Findings have practical implications for Saudi media and policymakers. Understanding self-disclosure in interviews can guide content creation, fostering open communication. Presenters consciously act as role models, influencing Saudi youth, emphasizing the role of positive self-presentation.

This study utilized Levi-Belz and Kreiner's (2019) three-dimensional tool of self-disclosure in a way that could be used for other languages and cultures. The study examines the Saudi cultural norms in self-disclosure, which has never been tackled before.

This study aims to explore which of four chosen factors (i.e. privacy concerns, FoMO, self-disclosure and time cost) induce a feeling of strain among Facebook users in terms of social media fatigue (SMF), and if this occurs, whether it further influences such outcomes as discontinuance of usage (DoU) and interaction engagement decrement (IED).

Through an online structured questionnaire, empirical data were gathered to verify the research model, based on the stressor-strain-outcome (SSO) framework. The SEM technique was employed for assessing the hypothesized relationships.

The findings show that privacy concerns and time cost are strong antecedents of SMF and contribute significantly to its occurrence; while FoMO and self-disclosure do not exhibit any significant influence. Moreover, SMF positively and significantly affects DoU and IED.

This study enhances the existing body of knowledge on SMF and it can help: (1) individuals to be aware of risks and adjust their activities in balance with their well-being, and (2) social media (SM) managers to develop unique strategies to address the specific needs of SM users.

This research contributes to the limited literature on SMF by (1) introducing the concept of IED – as a consequence of SMF, and (2) creating measurement scales for IED.

The purpose of this study is to examine how the constructs of false self, preference for online social interaction (POSI), compulsive internet use (CIU), and online disinhibition affect social withdrawal in a social media context. The mediating effects of moral disengagement and cyber aggression are also tested.

Data were collected using an online survey (n = 533) from consumers in Japan. This study used structural equation modeling and PROCESS to examine the proposed relationships.

The study revealed that false self positively affects moral disengagement while online disinhibition positively affects cyber aggression and moral disengagement. Preference for online social interaction and compulsive internet use both positively impacts social withdrawal. Cyber aggression and moral disengagement were established mediators between false self/ Preference for online social interaction/ compulsive internet use/ online disinhibition and social withdrawal.

Although restricted to cyberaggression, owing to the reciprocal relationship between cyber victimization and cyberaggression, cyber victimization can be included for further study. This study expands the understanding of social withdrawal within the context of social media.

Based on the findings, policies and programs that address mental health that build self-esteem, self-confidence and reduce anxiety ought to be undertaken. Managing and formulating guidelines on anonymity should also be taken into consideration.

This research demonstrates the crucial constructs that affect social media users negatively from the aspects of cyberaggression, moral disengagement and social withdrawal. It also establishes the importance of mental health in reducing adverse effects from social media.

This study explores the motivations for sharing personal information and self-disclosure by mentally ill people in public and private Facebook groups. The purpose of the self-disclosure comparison between public and private groups is to understand how mentally ill people use different kinds of online communication channels in order to advance their goals and needs concerning their illness.

The study was carried out using questionnaires distributed in Facebook groups for people with mental illnesses. A total of 123 full and valid questionnaires were received. Statistical analysis was performed on the data.

Findings revealed that there are no significant differences between public and private groups concerning motivations for self-disclosure and that both types of groups create a safe and supportive place for mentally ill people. However, findings suggest that participants in public groups tend to display higher social involvement than those who participate in private groups.

This is a path breaking study on the entire subject of discourse of people with mental illnesses in private Facebook groups and its importance is derived from this. The study clarified and emphasized the importance of the sense of belonging to a community. Moreover, findings encourage people with mental illnesses to make use of social media channels to meet their social and personal needs.

Social participation and user-generated contents have engendered an era when “any receiver can be a provider.” Although studies have emphasized on increasing the number of subscribers conducive to platform success, the issue regarding why viewers drop their registered YouTuber channels has been less addressed. This article aims to present and empirically test a causal model to account for the pattern of discontinuous intention of attention to YouTuber channels.

Inspired by the expectation–disconfirmation theory, the study proposes and examines a research model by using an empirical quantitative approach. The proposed model considers channel and YouTuber facets, as well as potential moderation effects of viewing seniority.

Analysis of a sample of 406 questionnaires revealed that ads interference is not a significant reason for discontinuation of viewing a channel, in contrast to insufficient playfulness and inconsistency. Regarding YouTubers’ features, both interaction inadequacy and negative self-disclosure are significant determinants of perceived dissatisfaction and discontinuation of viewing. The effects of determinants of discontinuity depend on viewers' seniorities, except for negative self-disclosure.

While existing studies have focused mainly on revealing the determinants associated with the behavioral intention of viewing YouTuber channels to increase self-media performance, this research contributes insights into the literature investigating why existing viewers stop following a certain YouTuber channel. From a psychological perspective, this study demonstrates the value of modeling discontinuous behaviors toward YouTuber channels in the domain of social marketing.

From a consumer–brand relationship (CBR) perspective, this study proposes a serial multiple mediation model to explore the pathways (e.g. cognitive, affective and hybrid) to increase online celebrity brand equity (OCBE) and follower's hotel booking intentions (FBI).

Paper-based and online surveys were used to collect data from 443 respondents who had been using TikTok and had followed at least one online celebrity on TikTok, while that online celebrity had reviewed one or more types of accommodation. A serial multiple mediation model was evaluated through covariance-based structural equation modeling.

The results confirmed the hybrid cognitive–affective and cognitive–affective–conative pathways among antecedents and components of OCBE and FBI.

From a CBR perspective, this study provides a serial multiple mediation model to increase OCBE via hybrid cognitive–affective pathways and to drive FBI via cognitive–affective–conative pathways. These sequential relationships contribute to the human branding literature by defining a mechanism of how online celebrities can efficiently attract followers, thus driving online celebrity brand loyalty and hotel booking intentions.

The results should be validated in other cultural contexts to generalize findings and broaden the range of target respondents to include international followers and those within other nations.