2011
DOI: 10.1007/978-3-642-21040-2_26
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Privacy Respecting Targeted Advertising for Social Networks

Abstract: Online Social Networks form an increasingly important part of people's lives. As mobile technologies improve accessibility, concerns about privacy and trust are more apparent as advertising becomes a critical component of most social network's economic model. In this paper we describe the PICOS project's research into privacy preserving advertising options for social networks. We introduce an architecture that includes new concepts and technologies specifically designed to improve privacy and trust as well as … Show more

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Cited by 4 publications
(3 citation statements)
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“…Or, does sharing mean a user gains the right to do "whatever" with the information content she can access in the network [10]. The major debate, however, is over the use of the behavioral information of users that administrators can gather and use for their own purpose [11], [12], [13], [14], [15], [16]. The issue in point is whether they can do so without violating the basic privacy rights users would like to enjoy [17], [18].…”
Section: A Related Researchmentioning
confidence: 99%
See 1 more Smart Citation
“…Or, does sharing mean a user gains the right to do "whatever" with the information content she can access in the network [10]. The major debate, however, is over the use of the behavioral information of users that administrators can gather and use for their own purpose [11], [12], [13], [14], [15], [16]. The issue in point is whether they can do so without violating the basic privacy rights users would like to enjoy [17], [18].…”
Section: A Related Researchmentioning
confidence: 99%
“…The recent interest in exploiting social networks for commercial purposes [11], [12], [13], [14], [15], [16] has trans-formed them into a huge industry. One of the primary means for many commercial activities depend upon identifying and targeting users or groups.…”
Section: Dynamic Network Structuresmentioning
confidence: 99%
“…Recently, online social relationships which can be extracted from various online resources such as online social networks are receiving lots of attentions as they are rich sources to learn about the interest of each member as well as the relationship among them. Due to the reason, the online resources are investigated for a wide range of applications [5,6,7,8,9,10,11,12]. This paper investigates the use of pairwise online social relationship information to compute a biased but representative respondent group such that the rate of the minority opinion group (e.g.…”
Section: Introductionmentioning
confidence: 99%