Abstract
While Online Social Networks (OSNs) allow closer interaction among their users, they trigger users’ privacy concerns related to self-disclosure. The reason for is that individual’s information and online activities are easily traced, collected and stored in OSNs when compared to face-to-face settings. In this context, this work aims at understanding how similar or different are people’s concerns and attitudes about self-disclosure in both OSNs and face-to-face settings, focusing on investigating what information people consider personal and with whom they feel comfortable in sharing which pieces of their information within these two contexts. Our analysis shows that people associate different degrees of “personalness” to different pieces of information. Furthermore, our data shows that people have different attitudes regarding which information they share in which world and how they share it. This indicates that people understand that OSN and face-to-face settings require different behaviors and that they take into account how personal they perceive a piece of information to be, in deciding if and how to share it.
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http://newsroom.fb.com/company-info/ Last visited in May, 2015.
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In a sociological view, society is composed by primary and secondary groups [33, 34]. Primary groups refer to small groups in which members have face-to-face relationships that are affective and more intimate, such as with family, close friends or neighbors. Whereas secondary groups refer to broader social categories in which a person is part of a group but does not have a face-to-face relationship, such as professional associations or unions.
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Acknowledgments
Authors thank all the survey participants. Maria Lúcia B. Villela thanks CAPES, and Raquel O. Prates thanks CNPq for the partial support to this research.
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Villela, M.L.B. et al. (2015). Contrasting People’s Attitudes Towards Self-disclosure in Online Social Networks and Face-to-Face Settings. In: Baloian, N., Zorian, Y., Taslakian, P., Shoukouryan, S. (eds) Collaboration and Technology. CRIWG 2015. Lecture Notes in Computer Science(), vol 9334. Springer, Cham. https://doi.org/10.1007/978-3-319-22747-4_19
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