Information privacy in online social networks: Uses and gratification perspective

Heravi, Alireza; Mubarak, Sameera; Choo, Kim‐Kwang Raymond

doi:10.1016/j.chb.2018.03.016

Cited by 65 publications

(66 citation statements)

References 123 publications

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“…Research on addressing privacy concerns of consumers has grown considerably in the recent past and shifted from general contexts to specific ones [129]. Researchers have explored privacy concerns in diverse fields like social networking [46]; [53]; [62], online services [34], [55], healthcare [11]; [126], location-based services [125]; [134]. Studies have explored a large number of antecedents of privacy concerns.…”

Section: Privacy Concern and Trustmentioning

confidence: 99%

Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective

Dhagarra

Goswami

Kumar

2020

International Journal of Medical Informatics

218

126

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Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre-including this research content-immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

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Section: Privacy Concern and Trustmentioning

confidence: 99%

Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective

Dhagarra

Goswami

Kumar

2020

International Journal of Medical Informatics

218

126

View full text Add to dashboard Cite

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“…The ambiguity of “privacy” has inspired many scholars across diverse fields to define, operationalize, or measure it. Existing scholarship on privacy addresses many facets of the concept, from privacy as a legal concept 8 to the kinds of social and psychological factors that contribute to privacy-related attitudes and behaviors 9 , 10 . Nissenbaum 11 suggests that disparate descriptions of privacy can be understood as a whole by considering privacy as a product of “contextual integrity” in which information flows conform to expectations and norms regarding disclosure of information.…”

Section: Background and Significancementioning

confidence: 99%

Disposition toward privacy and information disclosure in the context of emerging health technologies

Schairer

Cheung

Rubanovich

et al. 2019

Journal of the American Medical Informatics Association

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Objective We sought to present a model of privacy disposition and its development based on qualitative research on privacy considerations in the context of emerging health technologies. Materials and Methods We spoke to 108 participants across 44 interviews and 9 focus groups to understand the range of ways in which individuals value (or do not value) control over their health information. Transcripts of interviews and focus groups were systematically coded and analyzed in ATLAS.ti for privacy considerations expressed by respondents. Results Three key findings from the qualitative data suggest a model of privacy disposition. First, participants described privacy related behavior as both contextual and habitual. Second, there are motivations for and deterrents to sharing personal information that do not fit into the analytical categories of risks and benefits. Third, philosophies of privacy, often described as attitudes toward privacy, should be classified as a subtype of motivation or deterrent. Discussion This qualitative analysis suggests a simple but potentially powerful conceptual model of privacy disposition, or what makes a person more or less private. Components of privacy disposition are identifiable and measurable through self-report and therefore amenable to operationalization and further quantitative inquiry. Conclusions We propose this model as the basis for a psychometric instrument that can be used to identify types of privacy dispositions, with potential applications in research, clinical practice, system design, and policy.

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“…Issues on privacy disclosure are the greatest threat to the personal information security in the era of big data. [1][2][3][4][5][6][7][8][9] In recent years, the issues on privacy protection in MSN are deeply researched, and many effective privacy-preserving technologies have been developed. The existing researches on MSN privacy protection mainly concentrate on privacy-preserving data publishing, data mining, and access control, [10][11][12][13][14][15][16][17][18][19][20][21][22][23] in which anonymization is the main privacy-preserving technology for social network data release, so that the data released can meet the need of data analysis while user privacy is not compromised; and social network access control techniques mainly focus on designing social network access control model to solve the problem of social network data access authorization.…”

Section: Introductionmentioning

confidence: 99%

Issues of privacy policy conflict in mobile social network

Wang

2020

International Journal of Distributed Sensor Networks

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Privacy protection in mobile social networks is a hot issue in current research. Various privacy protection policies have been proposed. However, the conflict of privacy protection policies inevitably occurs. In this article, aiming at the personalized privacy protection model proposed in our published paper, we analyzed the possible conflict between privacy policies and comprehensively considered the policy conflict brought by the resource-level relationship; meanwhile, we proposed a scheme of consistency verification for privacy policy to improve the previous personalized privacy protection model. We also verified the practical effects of the improved model by experiments on synthetic data sets.

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Information privacy in online social networks: Uses and gratification perspective

Cited by 65 publications

References 123 publications

Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective

Impact of Trust and Privacy Concerns on Technology Acceptance in Healthcare: An Indian Perspective

Disposition toward privacy and information disclosure in the context of emerging health technologies

Issues of privacy policy conflict in mobile social network

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