Adult attachment and self-disclosure on social networking site: A content analysis of Sina Weibo

Chen, Liang; Hu, Na; Shu, Cong; Chen, Xu

doi:10.1016/j.paid.2018.09.028

Cited by 26 publications

(20 citation statements)

References 69 publications

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“…Users of the Chinese social network Sina Weibo showed the opposite pattern. While high attachment anxiety was associated with less personal information being disclosed on ones’ profile, high avoidance was associated with disclosing more profile pictures not showing the actual user and less disclosure of profile pictures (Chen et al, 2019).…”

Section: Resultsmentioning

confidence: 99%

Relationship 2.0: A systematic review of associations between the use of social network sites and attachment style

Stöven¹,

Herzberg

2020

Journal of Social and Personal Relationships

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Today, Social Network Sites (SNSs) offer a wide variety of functions for initiating and maintaining personal relationships (i.e. sharing private information, messaging, commenting, liking or viewing others profiles). According to the uses and gratifications approach, individuals chose how they use media in order to satisfy given needs. Regarding personal relationships, attachment style is associated with distinct needs and behaviors. Thus, SNS use should differ with distinct attachment styles. This review aims to answer the question, how attachment style is related to SNS usage pattern and provide a comprehensive overview, by identifying and integrating associations with different facets of SNS use. Results were based on a systematic review of 17 studies. Measures of SNS use could be attributed to the facets of three categories: (1) Quantitative use (i.e. time spent on SNSs, number of friends/followers), (2) qualitative use (social use, parasocial use, self-presentation, monitoring) and (3) SNS motive (anxiety reduction, avoiding closeness). Especially insecure attached individuals strive to satisfy attachment needs through SNS use. While anxious individuals aim to reduce anxiety i.e. by seeking feedback via online social interaction, avoidant users can feel connected browsing others’ profiles without facing the threat of closeness. Insecure attachment was associated with negative outcomes related to SNS use, such as addictive behaviors. Limitations and implications of the findings are discussed.

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Section: Resultsmentioning

confidence: 99%

Relationship 2.0: A systematic review of associations between the use of social network sites and attachment style

Stöven¹,

Herzberg

2020

Journal of Social and Personal Relationships

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“…In mHealth, patients can share their medical experiences and obtain social support from other users [23]. Studies have indicated that of the 3 types of social support, mHealth is especially capable of providing informational support (such as recommendations and suggestions from similar patients or physicians) and emotional support (expressions of emotional care, such as understanding, caring, compassion, and sympathy) [24,25]. While mHealth does offer other benefits such as entertainment or financial returns (eg, gifts or discount vouchers) [26], within the PCT formula, social support is the strongest potential benefit related to patients' information disclosure decisions in mHealth.…”

Section: Theoretical Foundationsmentioning

confidence: 99%

Privacy Concerns About Health Information Disclosure in Mobile Health: Questionnaire Study Investigating the Moderation Effect of Social Support

Dang¹,

Guo²,

Guo³

et al. 2021

JMIR Mhealth Uhealth

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Background Mobile health (mHealth) provides a new opportunity for disease prediction and patient health self-management. However, privacy problems in mHealth have drawn significant attention to patients’ online health information disclosure and to the possibility that privacy concerns may hinder mHealth development. Objective Privacy calculus theory (PCT) has been widely used to understand personal information disclosure behaviors with the basic assumption of a rational and linear decision-making process. However, cognitive behavior processes are complex and mutual. In an attempt to gain a fuller understanding of information disclosure behavior, we further optimize a PCT-based information disclosure model by identifying the mutual relationship between costs (privacy concerns) and benefits. Social support, which has been proven to be a distinct and significant disclosure benefit of mHealth, was chosen as the representative benefit of information disclosure. Methods We examine a structural equation model that incorporates privacy concerns, health information disclosure intention in mHealth, and social support from mHealth, all at the individual level. Results A validated questionnaire was completed by 253 randomly selected participants. The result indicated that perceived health information sensitivity positively enhances patients’ privacy concern (beta path coefficient 0.505, P<.001), and higher privacy concern levels will decrease their health information disclosure intention (beta path coefficient –0.338, P<.001). Various individual characteristics influence perceived health information sensitivity in different ways. One dimension of social support, informational support, negatively moderates the effect of the relationship between perceived health information sensitivity and privacy concerns (beta path coefficient –0.171, P=.092) and the effect of the relationship between privacy concerns and health information disclosure intention (beta path coefficient –0.105, P=.092). However, another dimension, emotional support, has no direct moderation effect on the relationship between privacy concerns and health information disclosure intention. Conclusions The results indicate that social support can be regarded as a disutility reducer. That is, on the one hand, it reduces patients’ privacy concerns; on the other hand, it also reduces the negative impact of privacy concerns on information disclosure intention. Moreover, the moderation effect of social support is partially supported. Informational support, one dimension of social support, is significant (beta path coefficient –0.171, P=.092), while the other dimension, emotional support, is not significant (beta path coefficient –0.137, P=.146), in mHealth. Furthermore, the results are different among patients with different individual characteristics. This study also provides specific theoretical and practical implications to enhance the development of mHealth.

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“…Oghazi et al [5] Facebook Privacy concerns, attitudes, and intentions Privacy intention is the only antecedent that has a significant direct influence on users' selfdisclosure of information. By contrast, neither privacy concerns nor privacy attitude had a statistically significant influence on selfdisclosure Chen et al [6] Social network sites, such as Sina Weibo Attachment anxiety, attachment avoidance Individuals with high attachment anxiety disclose less personal information on their SNS profile page, while those with high attachment avoidance show a decreased disclosure of profile image on SNS Zhang et al [7] WeChat Role stress, self-presentation, relationship maintenance…”

Section: Media Antecedents Findingsmentioning

confidence: 99%

Mobile Users’ Self-Disclosure Behaviour on WeChat: Application of Social Cognitive Theory

Ding

Zhang

et al. 2020

Mobile Information Systems

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One of the most challenging issues confronting social media operators is how to increase users’ activity and self-disclosure behaviour. However, more and more users are lowering their disclosures on social media, such as WeChat in China. Using social cognitive theory as a starting point while utilizing mobile instant messaging software WeChat as an example, this paper studies the dynamics that influence users’ self-disclosure behaviour on WeChat from two aspects: individual factors and environment factors. A structural equation model is used to verify a conceptual model. The results show that, firstly, mobile users’ self-disclosure behaviour on WeChat can be affected by both individual factors and environment factors. Specifically, individual factors, such as privacy concerns, negatively affect users’ self-disclosure behaviour, while environmental factors, such as social influences, positively affect users’ self-disclosure behaviour. More importantly, the research points to significant differences in self-disclosure behaviour between mobile users of different genders and ages. As such, the conclusions of this paper should provide key information for optimized operation of WeChat and other mobile information systems.

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Adult attachment and self-disclosure on social networking site: A content analysis of Sina Weibo

Cited by 26 publications

References 69 publications

Relationship 2.0: A systematic review of associations between the use of social network sites and attachment style

Relationship 2.0: A systematic review of associations between the use of social network sites and attachment style

Privacy Concerns About Health Information Disclosure in Mobile Health: Questionnaire Study Investigating the Moderation Effect of Social Support

Mobile Users’ Self-Disclosure Behaviour on WeChat: Application of Social Cognitive Theory

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