Abstract / Description of output
Online social networks provide an environment for their users to share content with others, where the user who shares a content item is put in charge, generally ignoring others that might be affected by it. However, a content that is shared by one user can very well violate the privacy of other users. To remedy this, ideally, all users who are related to a content should get a say in how the content should be shared. Recent approaches advocate the use of agreement technologies to enable stakeholders of a post to discuss the privacy configurations of a post. This allows related individuals to express concerns so that various privacy violations are avoided up front. Existing techniques try to establish an agreement on a single post. However, most of the time, agreement should be established over multiple posts such that the user can tolerate slight breaches of privacy in return of a right to share posts themselves in future interactions. As a result, users can help each other preserve their privacy, viewing this as their social responsibility. This article develops a reciprocity-based negotiation for reaching privacy agreements among users and introduces a negotiation architecture that combines semantic privacy rules with utility functions. We evaluate our approach over multiagent simulations with software agents that mimic users based on a user study.
Original language | English |
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Article number | 42 |
Pages (from-to) | 1-22 |
Number of pages | 22 |
Journal | ACM Transactions on Internet Technology |
Volume | 18 |
Issue number | 4 |
DOIs | |
Publication status | Published - 30 Apr 2018 |
Keywords / Materials (for Non-textual outputs)
- Security and privacy
- Social network security and privacy
- Computing methodologies
- Multi-agent systems
- Privacy
- agreement
- negotiation