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result(s) for
"self-disclosure technologies"
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Privacy Concerns Versus Desire for Interpersonal Awareness in Driving the Use of Self-Disclosure Technologies: The Case of Instant Messaging in Two Cultures
2011
Social computing technologies typically have multiple features that allow users to reveal their personal information to other users. Such self-disclosure (SD) behavior is generally considered positive and beneficial in interpersonal communication and relationships. Using a newly proposed model based on social exchange theory, this paper investigates and empirically validates the relationships between SD technology use and culture. In particular, we explore the effects of culture on information privacy concerns and the desire for online interpersonal awareness, which influence attitudes toward, intention to use, and actual use of SD technologies. Our model was tested using arguably the strongest social computing technology for online SD-instant messaging (IM)-with users from China and the United States. Our findings reveal that cross-cultural dimensions are significant predictors of information privacy concerns and desire for online awareness, which are, in turn, found to be predictors of attitude toward, intention to use, and actual use of IM. Overall, our proposed model is applicable to both cultures. Our findings enhance the theoretical understanding of the effects of culture and privacy concerns on SD technologies and provide practical suggestions for developers of SD technologies, such as adding additional control features to applications.
Journal Article
Correlates of social media fatigue and academic performance decrement
by
Johri, Aditya
,
Kaur, Puneet
,
Dhir, Amandeep
in
Academic achievement
,
Communication
,
Digital media
2021
PurposeThe current study aims to investigate if different measures related to online psychosocial well-being and online behavior correlate with social media fatigue.Design/methodology/approachTo understand the antecedents and consequences of social media fatigue, the stressor-strain-outcome (SSO) framework is applied. The study consists of two cross-sectional surveys that were organized with young-adult students. Study A was conducted with 1,398 WhatsApp users (aged 19 to 27 years), while Study B was organized with 472 WhatsApp users (aged 18 to 23 years).FindingsIntensity of social media use was the strongest predictor of social media fatigue. Online social comparison and self-disclosure were also significant predictors of social media fatigue. The findings also suggest that social media fatigue further contributes to a decrease in academic performance.Originality/valueThis study builds upon the limited yet growing body of literature on a theme highly relevant for scholars, practitioners as well as social media users. The current study focuses on examining different causes of social media fatigue induced through the use of a highly popular mobile instant messaging app, WhatsApp. The SSO framework is applied to explore and establish empirical links between stressors and social media fatigue.
Journal Article
Full Disclosure
2020
Results from three large-scale field studies and two controlled experiments show that consumers tend to be more self-disclosing when generating content on their smartphone versus personal computer. This tendency is found in a wide range of domains including social media posts, online restaurant reviews, open-ended survey responses, and compliance with requests for personal information in web advertisements. The authors show that this increased willingness to self-disclose on one’s smartphone arises from the psychological effects of two distinguishing properties of the device: (1) feelings of comfort that many associate with their smartphone and (2) a tendency to narrowly focus attention on the disclosure task at hand due to the relative difficulty of generating content on the smaller device. The enhancing effect of smartphones on self-disclosure yields several important marketing implications, including the creation of content that is perceived as more persuasive by outside readers. The authors explore implications for how these findings can be strategically leveraged by managers, including how they may generalize to other emerging technologies.
Journal Article
Be my friend! Cultivating parasocial relationships with social media influencers: findings from PLS-SEM and fsQCA
by
Tan, Garry Wei-Han
,
Ooi, Keng-Boon
,
Chuah, Stephanie Hui-Wen
in
Attributes
,
Celebrities
,
Comparative analysis
2023
PurposeThe emergence of social media has brought the influencer marketing landscape to an unprecedented level, where many ordinary people are turning into social media influencers. The study aims to construct and validate a model to yield strategic insights on the relevance of content curation, influencer–fans interaction and parasocial relationships development in fostering favorable endorsement outcomes (i.e. purchase intention).Design/methodology/approachThe present study analyzes data from a survey of 411 consumers using partial least squares-structural equation modelling (PLS-SEM) and fuzzy set qualitative comparative analysis (fsQCA) to understand the net and combined effects of content attributes, interaction strategies and parasocial relationships on purchase intention.FindingsPLS-SEM results reveal that content attributes (i.e. prestige and expertise) and interaction strategies (i.e. interactivity and self-disclosure) positively influence parasocial relationships, and in turn, lead to high purchase intention. Findings from fsQCA indicate six solutions with different combinations of content attributes, interaction strategies and parasocial relationships that sufficiently explain high purchase intention.Originality/valueThe present study demonstrates the roles of content attributes and interaction strategies in engendering parasocial relationship and the endorsement outcome (i.e. purchase intention) from both linear and non-linear (complexity) perspectives.
Journal Article
Behavioral contagion on social media: Effects of social norms, design interventions, and critical media literacy on self-disclosure
by
Masur, Philipp K.
,
Bazarova, Natalie N.
,
DiFranzo, Dominic
in
Behavior
,
Biology and Life Sciences
,
Blood & organ donations
2021
Social norms are powerful determinants of human behaviors in offline and online social worlds. While previous research established a correlational link between norm perceptions and self-reported disclosure on social network sites (SNS), questions remain about downstream effects of prevalent behaviors on perceived norms and actual disclosure on SNS. We conducted two preregistered studies using a realistic social media simulation. We further analyzed buffering effects of critical media literacy and privacy nudging. The results demonstrate a disclosure behavior contagion, whereby a critical mass of posts with visual disclosures shifted norm perceptions, which, in turn, affected perceivers’ own visual disclosure behavior. Critical media literacy was negatively related and moderated the effect of norms on visual disclosure behavioral intentions. Neither critical media literacy nor privacy nudge affected actual disclosure behaviors, however. These results provide insights into how behaviors may spread on SNS through triggering changes in perceived social norms and subsequent disclosure behaviors.
Journal Article
Privacy concerns and privacy-protective behavior in synchronous online social interactions
by
Heng, Cheng Suang
,
Jiang, Zhenhui "Jack"
,
Choi, Ben C.F
in
Calculus
,
Disclosure
,
Information systems
2013
Privacy is of prime importance to many individuals when they attempt to develop online social relationships. Nonetheless, it has been observed that individuals' behavior is at times inconsistent with their privacy concerns, e.g., they disclose substantial private information in synchronous online social interactions, even though they are aware of the risks involved. Drawing on the hyperpersonal framework and the privacy calculus perspective, this paper elucidates the interesting roles of privacy concerns and social rewards in synchronous online social interactions by examining the causes and the behavioral strategies that individuals utilize to protect their privacy. An empirical study involving 251 respondents was conducted in online chat rooms. Our results indicate that individuals utilize both self-disclosure and misrepresentation to protect their privacy and that social rewards help explain why individuals may not behave in accordance with their privacy concerns. In addition, we find that perceived anonymity of others and perceived intrusiveness affect both privacy concerns and social rewards. Our findings also suggest that higher perceived anonymity of self decreases individuals' privacy concerns, and higher perceived media richness increases social rewards. Generally, this study contributes to the information systems literature by integrating the hyperpersonal framework and the privacy calculus perspective to identify antecedents of privacy trade-off and predict individuals' behavior in synchronous online social interactions. [PUBLICATION ABSTRACT]
Journal Article
Eliciting a User’s Preferences by the Self-Disclosure of Socially Assistive Robots in Local Households of Older Adults to Facilitate Verbal Human–Robot Interaction
2022
To realize a society in which older adults can live independently in their homes and familiar environments for as long as possible, their lives can be supported by providing appropriate technology. In this case, a new intervention for older people using socially assistive robots (SARs) is proposed; however, previous research has demonstrated that individual differences exist in the use and response to SAR interventions, and it has also been reported that SARs are not used by users in some cases. Therefore, in this study, we developed a self-disclosure function to promote continuous interaction with robots, using a Japanese corpus and self-disclosure items. In this study, we defined the specific requirements and functions of self-disclosure in SARs and developed ten non-arbitrary speech scripts from the field of social psychology using a Japanese corpus and self-disclosure items. To evaluate the effect of self-disclosure in SARs, an SAR was introduced to each household for 20 days, with the consent of seven community-dwelling older adults. Based on the recorded voice interaction data, we analyzed how the number, total time, and quality of verbal interactions changed with the SAR’s self-disclosure. Furthermore, we conducted group interviews with the participants and received positive comments regarding the robot’s self-disclosure. Some participants considered the specific personality of the SAR by accumulating its behavioral characteristics. As a consequence, these results indicate that the robot’s self-disclosure feature is effective in significantly increasing the quantity and quality of verbal interactions with older adults.
Journal Article
When Social Networking Is Not Working: Individuals With Low Self-Esteem Recognize but Do Not Reap the Benefits of Self-Disclosure on Facebook
by
Forest, Amanda L.
,
Wood, Joanne V.
in
Anxiety
,
Behavioural psychology
,
Biological and medical sciences
2012
The popular media have publicized the idea that social networking Web sites (e.g., Facebook) may enrich the interpersonal lives of people who struggle to make social connections. The opportunity that such sites provide for self-disclosure—a necessary component in the development of intimacy—could be especially beneficial for people with low self-esteem, who are normally hesitant to self-disclose and who have difficulty maintaining satisfying relationships. We suspected that posting on Facebook would reduce the perceived riskiness of self-disclosure, thus encouraging people with low self-esteem to express themselves more openly. In three studies, we examined whether such individuals see Facebook as a safe and appealing medium for selfdisclosure, and whether their actual Facebook posts enabled them to reap social rewards. We found that although people with low self-esteem considered Facebook an appealing venue for self-disclosure, the low positivity and high negativity of their disclosures elicited undesirable responses from other people.
Journal Article
Effects of nurse‐led supportive‐expressive group intervention for post‐traumatic growth among breast cancer survivors: A randomized clinical trial
by
Wei, Ru
,
Jiang, Xiaolian
,
Wang, Guorong
in
a supportive‐expressive group intervention
,
Anxiety
,
Appreciation
2022
Background Post‐traumatic growth induced from cancer diagnosis and treatment could benefit the prognosis of cancer survivors, but intervention based on self‐disclosure in group is limited. Objective Aimed to examine the effectiveness of a supportive‐expressive group intervention on post‐traumatic growth. The impact of the intervention on anxiety and depression were also explored. Design This randomized clinical trial enrolled patients from June 2017 to September 2018 with a one‐month follow‐up. Data collectors were blinded to patient grouping. Setting A single center study in Chengdu, China. Participants One hundred sixty‐eight participants who met the eligibility criteria were randomly assigned to the intervention group (n = 84) or control group (n = 84); 46 were excluded and 122 patients finished the one‐month follow‐up. Methods Participants in the intervention group received nurse‐led support intervention focusing on topics such as “Being a Patient”, “Interpersonal Relationships”, “Journey for Recovery”, and “Planning the Future” while participants in the control group received health education, rehabilitation training etc. according to the nursing routine of breast cancer patients. The intervention was designed in accordance with the diagnosis and treatment process as well as patient needs. Participants in both groups were evaluated three times (T1‐baseline before the intervention, T2‐end of the intervention, and T3‐1 month follow up). Post‐traumatic growth, anxiety and depression were evaluated. Results Participants in the intervention group reported higher level of post‐traumatic growth (p < 0.01 or 0.05) and reduced anxiety and depression (p < 0.01 or 0.05 and p < 0.01 or 0.05). The multilevel model indicated that the intervention significantly promoted post‐traumatic growth (βT3 = 7.87, p < 0.05) and dimensions of relating to others (βT3 = 4.26, p < 0.001), personal strength (βT3 = 4.27, p < 0.01), appreciation of life (βT3 = 8.69, p < 0.001), and new possibilities (βT3 = 1.91, p < 0.05), anxiety (βT3 = −3.63, p < 0.001), and depression (βT3 = −2.27, p < 0.001), but had no effect on the dimension of spiritual change. In addition, the multi‐level model showed that patients with younger ages (β = −0.05~−0.52, p < 0.05–0.001), with high school and above education levels (β = 1.53~9.29, p < 0.01) and accompanied by husbands(β = −1.48~−8.51, p < 0.05) had more effective intervention and patients with religious belief had a better spiritual change level (β = 1.86, p < 0.001). Conclusions These findings provide evidence for the potential effectiveness of the nurse‐led intervention on positive benefits of post‐traumatic growth and relieved anxiety and depression for Chinese breast cancer survivors and will inform the design and development of a large randomized controlled trial. Clinical relevance The supportive‐expression group intervention can be applied independently by nurses. The four themes of self‐disclosure can help patients grow after trauma, and this method can be used as a psychological support technique for breast cancer patients during hospitalization.
Journal Article
Proposing the online community self-disclosure model: the case of working professionals in France and the U.K. who use online communities
by
Ellis, T Selwyn
,
Posey, Clay
,
Roberts, Tom L
in
Business and Management
,
Business Information Systems
,
Business networking
2010
The global use of online communities has exploded to involve hundreds of millions of users. Despite the tremendous social impact and business opportunities afforded by these communities, little information systems (IS) research has addressed them - especially in a cross-cultural context. Our research proposes an online community self-disclosure model, tested in a cross-cultural setting using data provided by French and British working professionals. Our model is based on social exchange theory (SET) and social penetration theory (SPT), as well as on cross-cultural theory related to individualism-collectivism. SET explains that individuals engage in relationships when the perceived costs associated with the relationship are less than the expected benefits. SPT extends SET to explain that individuals participate in self-disclosure to foster relationships - reciprocation is the primary benefit of self-disclosure, whereas risk is the foundational cost of self-disclosure. Our study established several important findings: positive social influence to use an online community increases online community self-disclosure; reciprocity increases self-disclosure; online community trust increases self-disclosure; and privacy risk beliefs decrease self-disclosure. Meanwhile, a tendency toward collectivism increases self-disclosure. We further found that French participants had higher scores on horizontal individualism than British participants. Several other findings and their implications for practice are also discussed.
Journal Article