2015
DOI: 10.1016/j.jsis.2014.09.001
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Handle with care: How online social network providers’ privacy policies impact users’ information sharing behavior

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Cited by 62 publications
(39 citation statements)
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“…find that incorporating nonverbal features of reviewers can massively improve the performance of online fake review detection models. Gerlach et al (2015) find that user perception of privacy risks has a mediating effect on the relationship between policy monetization and user willingness to share information. Burtch et al (2016) analyse a large online crowd funding platform and report that when campaign contributors control/conceal visibility from public display, there is a negative impact on subsequent visitor's conversion likelihood and average contributions.…”
Section: Risks and Concerns With The Use Of Social Mediamentioning
confidence: 86%
“…find that incorporating nonverbal features of reviewers can massively improve the performance of online fake review detection models. Gerlach et al (2015) find that user perception of privacy risks has a mediating effect on the relationship between policy monetization and user willingness to share information. Burtch et al (2016) analyse a large online crowd funding platform and report that when campaign contributors control/conceal visibility from public display, there is a negative impact on subsequent visitor's conversion likelihood and average contributions.…”
Section: Risks and Concerns With The Use Of Social Mediamentioning
confidence: 86%
“…First, information privacy researchers have recently studied how the language of privacy policies and the process users go through to give consent may affect subsequent behavior (Capistrano & Chen, 2015;Gerlach, Widjaja, & Buxmann, 2015;Whitley, 2009). Second, Mollick and Rothbard (2014) investigate the importance of consent in a field experiment in which they made employees' productivity metrics far more transparent in a game-like form.…”
Section: Consensual Versus Mandated Transparency Research On the Impmentioning
confidence: 99%
“…5.6 | The model attribute 6. Design constraints: Our proposed model software shall provide effective, easily navigable, and friendly interface.…”
Section: Determine User Security Level Onlinementioning
confidence: 99%
“…6 Users can hide some public information from other users, but they may not have control over what the service provider or sometimes thirdparty applications intend to do with the data. User identity: OSNs are simulations of real-world social relationships interaction; therefore, OSN service providers led users (optionally or compulsory) to reveal their personal information (e.g., personal images, birth dates, phone numbers, current addresses, and education), which can be considered private and or sensitive.…”
mentioning
confidence: 99%
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