The social benefit derived from Online Social Networks (OSNs) can
lure users to reveal unprecedented volumes of personal data to an
online audience that is much less trustworthy than their offline
social circle. Even if a user hides his personal data from some
users and shares with others, privacy settings of OSNs may be
bypassed, thus leading to various privacy harms such as identity
theft, stalking, or discrimination. Therefore, users need to be
assisted in understanding the privacy risks of their OSN profiles
as well as managing their privacy settings so as to keep such risks
in check, while still deriving the benefits of social network
participation. This book presents to its readers how privacy risk
analysis concepts such as privacy harms and risk sources can be
used to develop mechanisms for privacy scoring of user profiles and
for supporting users in privacy settings management in the context
of OSNs. Privacy scoring helps detect and minimize the risks due to
the dissemination and use of personal data. The book also discusses
many open problems in this area to encourage further research.
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