scholarly journals Health Privacy Information Self-Disclosure in Online Health Community

2021 ◽  
Vol 8 ◽  
Author(s):  
Wang Yuchao ◽  
Zhou Ying ◽  
Zangyi Liao
Keyword(s):  
Factor Analysis ◽  
Structural Equation ◽  
Fundamental Problem ◽  
Practical Significance ◽  
Privacy Concern ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Online Health Community ◽  
Personalized Services ◽  
Health Community

The scarcity of medical resources is a fundamental problem worldwide; the development of information technology and the Internet has given birth to online health care, which has alleviated the above problem. The survival and sustainable development of the online health community requires users to continuously disclose their health and privacy. Therefore, it is a great practical significance to find out the factors and mechanisms that promote users' self-disclosure in the online health community. From the perspective of individual and situation interaction, this study constructed influencing factors model of health privacy information self-disclosure. Finally, we collected 264 valid samples from the online health community through online and offline questionnaire surveys and then use the SPSS20.0 and AMOS21.0 to conduct exploratory factor analysis, confirmatory factor analysis, scale reliability and validity analysis, and structural equation model analysis. The main findings are as follows: trust in websites and trust in doctors reduce the privacy concern. The privacy trade-off will not occur when trust is enough to offset the privacy concerns caused by personalized services, reciprocity norms, and other factors. Second, reciprocity norms are inevitably compulsive, which will increase privacy concerns. However, based on voluntariness, reciprocity norms can enhance user trust. Third, service quality caused by personalized services not only enhance the social rewards of users but also eliminate the privacy concern. Fourth, users' health privacy attention and information sensitivity are too high to decrease the influence of user' privacy concerns on personal health privacy information disclosure. The conclusions of this paper will help us to supplement privacy calculus theory and the application scope of the attention-based view. The proposed strategy of this article can be used to stimulate the information contribution behavior of users and improve the medical service capabilities in online health community.

scholarly journals Privacy concerns and self-disclosure in private and public uses of social media

2021 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Ángel Hernández-García
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Public Information ◽  
Information Privacy ◽  
Equation Modeling ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Single View ◽  
Privacy Paradox ◽  
Social Threats

The study contributes to the ongoing debate about the ‘privacy paradox’ in the context of using social media. The presence of a privacy paradox is often declared if there is no relationship between users’ information privacy concerns and their online self-disclosure. However, prior research has produced conflicting results. The novel contribution of this study is that we consider public and private self-disclosure separately. The data came from a cross-national survey of 1,500 Canadians. For the purposes of the study, we only examined the subset of the 545 people who had at least one public account and one private account. Going beyond a single view of self-disclosure, we captured five dimensions of self-disclosure: Amount, Depth, Polarity, Accuracy, and Intent; and two aspects of privacy concerns : concerns about organizational and social threats. To examine the collected data, we used Partial Least Squares Structural Equation Modeling (PLS-SEM). Our research does not support the presence of a privacy paradox as we found a relationship between privacy concerns from organizational and social threats and most of the dimensions of self-disclosure (even if the relationship was weak). There was no difference between patterns of self-disclosure on private versus public accounts. Different privacy concerns may trigger different privacy protection responses and, thus, may interact with self-disclosure differently. Concerns about organizational threats increase awareness and accuracy while reducing amount and depth, while concerns about social threats reduce accuracy and awareness while increasing amount and depth. Keywords: social media, privacy paradox, private vs public, information privacy, self-disclosure

scholarly journals A Model of Perception of Privacy, Trust, and Self-Disclosure on Online Social Networks

Entropy ◽  
2019 ◽  
Vol 21 (8) ◽  
pp. 772 ◽  
Author(s):  
Nemec Zlatolas ◽  
Welzer ◽  
Hölbl ◽  
Heričko ◽  
Kamišalić
Keyword(s):  
Social Networks ◽  
Online Social Networks ◽  
Structural Equation ◽  
Online Survey ◽  
Equation Modeling ◽  
Privacy Risk ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Significant Relationships ◽  
Privacy Issues

Online Social Networks are used widely, raising new issues in terms of privacy, trust, and self-disclosure. For a better understanding of these issues for Facebook users, a model was built that includes privacy value, privacy risk, trust, privacy control, privacy concerns, and self-disclosure. A total of 602 respondents participated in an online survey, and structural equation modeling was used to evaluate the model. The findings indicate significant relationships between the constructs in this study. The model from our study contributes new knowledge to privacy issues, trust and self-disclosure on Online Social Networks for other researchers or developers of online social networks.

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

2018 ◽  
Vol 2018 ◽  
pp. 1-12 ◽  
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.

scholarly journals Do privacy concerns determine online information disclosure? The case of internet addiction

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Nik Thompson ◽  
Atif Ahmad ◽  
Sean Maynard
Keyword(s):  
Internet Addiction ◽  
Information Disclosure ◽  
Structural Equation ◽  
Cost Benefit ◽  
Online Information ◽  
Self Disclosure ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Calculus ◽  
The Impact

Purpose It is a widely held belief that users make a rational cost-benefit decision when choosing whether to disclose information online. Yet, in the privacy context, the evidence is far from conclusive suggesting that strong and as-yet unmeasured influences on behaviour may exist. This paper aims to demonstrate one such link – the effect of internet addiction on information disclosure. Design/methodology/approach Data from 216 Web users was collected regarding their perceptions on privacy and information disclosure intentions as well as avoidance behaviour, an element of internet addiction. Using a research model based on the Privacy Calculus theory, structural equation modelling was applied to quantify the determinants of online disclosure under various conditions. Findings The authors show that not all aspects of privacy (a multi-dimensional construct) influence information disclosure. While concerns about data collection influence self-disclosure behaviour, the level of awareness about privacy does not. They next examine the impact of internet addiction on these relationships, finding that internet addiction weakens the influence of privacy concerns to the point of non-significance. Originality/value The authors highlight some of the influences of self-disclosure behaviour, showing that some but not all aspects of privacy are influential. They also demonstrate that there are powerful influences on user behaviour that have not been accounted for in prior work; internet addiction is one of these factors. This provides some of the first evidence of the potentially deleterious effect of internet addiction on the privacy calculus.

Laziness as an explanation for the privacy paradox: a longitudinal empirical investigation

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jakob Wirth ◽  
Christian Maier ◽  
Sven Laumer ◽  
Tim Weitzel
Keyword(s):  
Private Information ◽  
Structural Equation ◽  
Personal Information ◽  
Past Research ◽  
Equation Modeling ◽  
Smart Devices ◽  
Self Disclosure ◽  
Content Type ◽  
Privacy Concerns ◽  
Privacy Paradox

Purpose“Smart devices think you're “too lazy” to opt out of privacy defaults” was the headline of a recent news report indicating that individuals might be too lazy to stop disclosing their private information and therefore to protect their information privacy. In current privacy research, privacy concerns and self-disclosure are central constructs regarding protecting privacy. One might assume that being concerned about protecting privacy would lead individuals to disclose less personal information. However, past research has shown that individuals continue to disclose personal information despite high privacy concerns, which is commonly referred to as the privacy paradox. This study introduces laziness as a personality trait in the privacy context, asking to what degree individual laziness influences privacy issues.Design/methodology/approachAfter conceptualizing, defining and operationalizing laziness, the authors analyzed information collected in a longitudinal empirical study and evaluated the results through structural equation modeling.FindingsThe findings show that the privacy paradox holds true, yet the level of laziness influences it. In particular, the privacy paradox applies to very lazy individuals but not to less lazy individuals.Research limitations/implicationsWith these results one can better explain the privacy paradox and self-disclosure behavior.Practical implicationsThe state might want to introduce laws that not only bring organizations to handle information in a private manner but also make it as easy as possible for individuals to protect their privacy.Originality/valueBased on a literature review, a clear research gap has been identified, filled by this research study.

scholarly journals Privacy concerns and self-disclosure in private and public uses of social media

2021 ◽  
Author(s):  
Anatoliy Gruzd ◽  
Ángel Hernández-García
Keyword(s):  
Social Media ◽  
Structural Equation ◽  
Public Information ◽  
Information Privacy ◽  
Equation Modeling ◽  
Self Disclosure ◽  
Privacy Concerns ◽  
Single View ◽  
Privacy Paradox ◽  
Social Threats

The study contributes to the ongoing debate about the ‘privacy paradox’ in the context of using social media. The presence of a privacy paradox is often declared if there is no relationship between users’ information privacy concerns and their online self-disclosure. However, prior research has produced conflicting results. The novel contribution of this study is that we consider public and private self-disclosure separately. The data came from a cross-national survey of 1,500 Canadians. For the purposes of the study, we only examined the subset of the 545 people who had at least one public account and one private account. Going beyond a single view of self-disclosure, we captured five dimensions of self-disclosure: Amount, Depth, Polarity, Accuracy, and Intent; and two aspects of privacy concerns : concerns about organizational and social threats. To examine the collected data, we used Partial Least Squares Structural Equation Modeling (PLS-SEM). Our research does not support the presence of a privacy paradox as we found a relationship between privacy concerns from organizational and social threats and most of the dimensions of self-disclosure (even if the relationship was weak). There was no difference between patterns of self-disclosure on private versus public accounts. Different privacy concerns may trigger different privacy protection responses and, thus, may interact with self-disclosure differently. Concerns about organizational threats increase awareness and accuracy while reducing amount and depth, while concerns about social threats reduce accuracy and awareness while increasing amount and depth. Keywords: social media, privacy paradox, private vs public, information privacy, self-disclosure

scholarly journals Investigating the nexus between Mobile Apps Adoption and Privacy Concerns among Users: An Empirical Analysis from Ghana

2020 ◽  
Vol 10 ◽  
pp. 167-188
Author(s):  
Acheampong Owusu ◽  
Ivy Hawah Taana ◽  
Akeem Soladoye Bakare ◽  
Daha Tijjani Abdurrahaman ◽  
Frederick Edem Broni Jnr
Keyword(s):  
Structural Equation ◽  
Mobile Apps ◽  
Equation Model ◽  
Privacy Concern ◽  
Privacy Risk ◽  
Policy And Practice ◽  
Tertiary Institution ◽  
Privacy Concerns ◽  
Privacy Settings ◽  
Antecedent Variable

There has been a proliferation of Mobile Phones Applications commonly referred to as Mobile Apps lately due to the advancement of technology. These Mobile Apps are used for a myriad of tasks ranging from Mobile Commerce (m-commerce), healthcare, learning, social media, among others. However, with this spread of the Mobile Apps comes the issues of privacy concerns. This study, therefore, seeks to investigate why users continue to use the Mobile Apps despite the privacy concerns and what measures they have put in place to mitigate this menace. Through the Antecedents, Privacy, Concerns, and Outcome (APCO) model, the study developed a research model that was hypothesized and evaluated with 316 respondents from a tertiary institution. The data was analyzed through the partial least squares structural equation model (PLS-SEM). The results indicate that whilst antecedent variable Gender influences Privacy Concern, Experience on the other hand does not. Also, Enjoyment, Privacy Risk, and Trust influence Usage Continuance Intention. Also, Application Popularity influences Change Privacy Settings. Again, Privacy Concern influence Privacy Risk but does not influence Trust. Moreover, Enjoyment, Privacy Risk, and Trust do not influence Change Privacy Settings. This study has given the researchers insights as to why users continue to use Mobile Apps despite the Privacy Concerns that have been raised in the literature. Other implications for theory, policy, and practice are also discussed.  

scholarly journals Factors Influencing the Continuance Use of Mobile Social Media:The Effect of Privacy Concerns

2015 ◽  
Author(s):  
Kwame Simpe Ofori ◽  
Eli Fianu ◽  
Otu Larbi-Siaw ◽  
Richard Eddie Gladjah ◽  
Ezer Osei Yeboah Boateng
Keyword(s):  
Perceived Risk ◽  
Structural Equation ◽  
Ease Of Use ◽  
Partial Least Square ◽  
Perceived Usefulness ◽  
Least Square ◽  
Privacy Concern ◽  
Perceived Ease Of Use ◽  
Continuance Intention ◽  
Privacy Concerns

With over 800 million active Whatsapp users, Mobile Social Networks (MSNs) have become one of the most vital means of social interactions, such as forming relationships and sharing information, sharing personal experiences. The mass adoption of MSN raises concerns about privacy and the risk of losing one’s personal information due to personal data shared online. This paper sought to examine the role of Privacy Concerns in the continuance use of Mobile Social Media. The Effects of factors such as Perceived Ease of Use, Perceived Usefulness and Perceived Risk and Perceived Enjoyments on Satisfaction and Continuance intention were also explored. Survey data was collected from 262 students in Ghana Technology University College and analysed using the Partial Least Square approach to Structural Equation Modelling with the use of SmartPLS software. Results from the analysis showed that Perceived Usefulness, Perceived Risk and Perceived Enjoyment were significant predictors of Satisfaction. Satisfaction in turn was found to be a significant predictor of Continuance Intention. Satisfaction also mediated the paths between Perceived Risk, Privacy Concern and Continuance Intention. The results are discussed and practical implications drawn.  

Celebrity Worship Among University Students in Malaysia

2011 ◽  
Vol 16 (4) ◽  
pp. 334-342 ◽  
Author(s):  
Viren Swami ◽  
Tomas Chamorro-Premuzic ◽  
Khairul Mastor ◽  
Fatin Hazwani Siran ◽  
Mohammad Mohsein Mohammad Said ◽  
...  
Keyword(s):  
Factor Analysis ◽  
Structural Equation Modeling ◽  
Structural Equation ◽  
Attitude Scale ◽  
Equation Modeling ◽  
Future Research ◽  
The West ◽  
Factor Solution ◽  
Movie Stars ◽  
Three Factor

The present study examined conceptual issues surrounding celebrity worship in a Malay-speaking population. In total, 512 Malay and 269 Chinese participants from Malaysia indicated who their favorite celebrity was and completed the Celebrity Attitude Scale (CAS) as well as a range of demographic items. Results showed that the majority of Malay and Chinese participants selected pop stars and movie stars as their favourite celebrities, mirroring findings in Western settings. In addition, exploratory factor analysis revealed a three-factor solution of the CAS that was consistent with previous studies conducted in the West. Structural equation modeling further revealed that participant’s age was negatively associated with celebrity worship and that self-rated attractiveness was positively associated with celebrity worship. Overall, the present results suggest that celebrity worship in Malaysia may be driven by market and media forces, and future research may well be guided by use of the CAS.

Collective Efficacy and Organizational Commitment in an Italian City Hall

2009 ◽  
Vol 14 (4) ◽  
pp. 363-371 ◽  
Author(s):  
Laura Borgogni ◽  
Silvia Dello Russo ◽  
Laura Petitta ◽  
Gary P. Latham
Keyword(s):  
Organizational Commitment ◽  
Collective Efficacy ◽  
Structural Equation ◽  
Structural Equation Models ◽  
Practical Significance ◽  
City Hall ◽  
Italian City ◽  
Public Sector Managers ◽  
The Individual ◽  
Level Group

Employees (N = 170) of a City Hall in Italy were administered a questionnaire measuring collective efficacy (CE), perceptions of context (PoC), and organizational commitment (OC). Two facets of collective efficacy were identified, namely group and organizational. Structural equation models revealed that perceptions of top management display a stronger relationship with organizational collective efficacy, whereas employees’ perceptions of their colleagues and their direct superior are related to collective efficacy at the group level. Group collective efficacy had a stronger relationship with affective organizational commitment than did organizational collective efficacy. The theoretical significance of this study is in showing that CE is two-dimensional rather than unidimensional. The practical significance of this finding is that the PoC model provides a framework that public sector managers can use to increase the efficacy of the organization as a whole as well as the individual groups that compose it.

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