Adaptive Sharing for Online Social Networks: A Trade-off Between Privacy Risk and Social Benefit

Online Social Networks are used widely, raising new issues in terms of privacy, trust, and self-disclosure. For a better understanding of these issues for Facebook users, a model was built that includes privacy value, privacy risk, trust, privacy control, privacy concerns, and self-disclosure. A total of 602 respondents participated in an online survey, and structural equation modeling was used to evaluate the model. The findings indicate significant relationships between the constructs in this study. The model from our study contributes new knowledge to privacy issues, trust and self-disclosure on Online Social Networks for other researchers or developers of online social networks.

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Enhancing the privacy risk awareness of teenagers in online social networks through soft-paternalism mechanisms

International Journal of Human-Computer Studies ◽

10.1016/j.ijhcs.2019.03.008 ◽

2019 ◽

Vol 129 ◽

pp. 27-40 ◽

Cited By ~ 5

Author(s):

J. Alemany ◽

E. del Val ◽

J. Alberola ◽

A. García-Fornes

Keyword(s):

Social Networks ◽

Online Social Networks ◽

Risk Awareness ◽

Privacy Risk ◽

Soft Paternalism

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An explainable assistant for multiuser privacy

Autonomous Agents and Multi-Agent Systems ◽

10.1007/s10458-021-09543-5 ◽

2022 ◽

Vol 36 (1) ◽

Author(s):

Francesca Mosca ◽

Jose Such

Keyword(s):

Social Networks ◽

Online Social Networks ◽

Personal Information ◽

Moral Values ◽

User Studies ◽

Trade Off ◽

Multiple Users ◽

Extensive Evaluation ◽

Personal Assistant

AbstractMultiuser Privacy (MP) concerns the protection of personal information in situations where such information is co-owned by multiple users. MP is particularly problematic in collaborative platforms such as online social networks (OSN). In fact, too often OSN users experience privacy violations due to conflicts generated by other users sharing content that involves them without their permission. Previous studies show that in most cases MP conflicts could be avoided, and are mainly due to the difficulty for the uploader to select appropriate sharing policies. For this reason, we present ELVIRA, the first fully explainable personal assistant that collaborates with other ELVIRA agents to identify the optimal sharing policy for a collectively owned content. An extensive evaluation of this agent through software simulations and two user studies suggests that ELVIRA, thanks to its properties of being role-agnostic, adaptive, explainable and both utility- and value-driven, would be more successful at supporting MP than other approaches presented in the literature in terms of (i) trade-off between generated utility and promotion of moral values, and (ii) users’ satisfaction of the explained recommended output.

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Enabling Users to Balance Social Benefit and Privacy in Online Social Networks

2018 16th Annual Conference on Privacy, Security and Trust (PST) ◽

10.1109/pst.2018.8514202 ◽

2018 ◽

Author(s):

Sourya Joyee De ◽

Abdessamad Imine

Keyword(s):

Social Networks ◽

Online Social Networks ◽

Social Benefit

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Do Diversity and Context Collapse Kill an Online Social Network?

10.31235/osf.io/4vk2m ◽

2021 ◽

Author(s):

Júlia Koltai ◽

László Lőrincz ◽

Johannes Wachs ◽

Károly Takács

Keyword(s):

Social Networks ◽

Online Social Networks ◽

Online Social Network ◽

Gender Composition ◽

Trade Off ◽

Overlapping Communities ◽

Network Characteristics ◽

Social Lives ◽

Diverse Communities ◽

Salient Dimension

Our social lives are segmented into various circles including family, friends, and colleagues. Differences in social norms and expectations between these circles can create tension, especially on large online social networks (OSNs), where their boundaries are blurred. It is unclear whether such phenomenon, called context collapse, outweighs the convenience of having diverse communities in one place for users of OSNs. To better understand this trade-off, we analyze whether ego-network characteristics suggestive of context collapse can explain exit choices from iWiW, a defunct Hungarian OSN with over 3.5 million active users at its peak. We measured context collapse with the presence of two conditions: the first is that communities of the user are non-overlapping, while the second is that these communities are different from each other. We find that users having merely overlapping communities were more likely to stay on the site. This result suggests that the benefits of being connected to diverse communities outweighs the tension from context collapse. Differences in gender composition of alter communities were associated with leaving, while having geographically distant connections were associated with staying longer on iWiW. Our results suggest that the tradeoff between access to diverse contacts and the stress of context collapse is a salient dimension in predicting user churn.

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