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Adaptive Conflict Resolution Mechanism for Multi-party Privacy Management in Social Media

Published: 03 November 2014 Publication History

Abstract

The lack of multi-party privacy management support in current mainstream Social Media infrastructures makes users unable to appropriately control to whom co-owned items are shared. Computational mechanisms that are able to merge the privacy preferences of multiple users into a single policy for these kind of items can help solve this problem. As privacy preferences may conflict, these mechanisms need to consider how users' would actually reach an agreement in order to propose acceptable solutions to the conflicts. We propose the first computational mechanism to resolve conflicts for multi-party privacy management in Social Media that adapts to different situations that may motivate different users' concessions and agreements.

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Cited By

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  • (2024)Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing DevicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642897(1-22)Online publication date: 11-May-2024
  • (2023)An Approach to Multi-Party Privacy Conflict Resolution for Co-owned Images on Content Sharing PlatformsProceedings of the 2023 8th International Conference on Machine Learning Technologies10.1145/3589883.3589923(264-268)Online publication date: 10-Mar-2023
  • (2023)On the Potential of Mediation Chatbots for Mitigating Multiparty Privacy Conflicts - A Wizard-of-Oz StudyProceedings of the ACM on Human-Computer Interaction10.1145/35796187:CSCW1(1-33)Online publication date: 16-Apr-2023
  • Show More Cited By

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      cover image ACM Conferences
      WPES '14: Proceedings of the 13th Workshop on Privacy in the Electronic Society
      November 2014
      218 pages
      ISBN:9781450331487
      DOI:10.1145/2665943
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Publication History

      Published: 03 November 2014

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      Author Tags

      1. co-owned items
      2. multi-party privacy
      3. online social networks

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      WPES '14 Paper Acceptance Rate 26 of 67 submissions, 39%;
      Overall Acceptance Rate 106 of 355 submissions, 30%

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      Cited By

      View all
      • (2024)Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing DevicesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642897(1-22)Online publication date: 11-May-2024
      • (2023)An Approach to Multi-Party Privacy Conflict Resolution for Co-owned Images on Content Sharing PlatformsProceedings of the 2023 8th International Conference on Machine Learning Technologies10.1145/3589883.3589923(264-268)Online publication date: 10-Mar-2023
      • (2023)On the Potential of Mediation Chatbots for Mitigating Multiparty Privacy Conflicts - A Wizard-of-Oz StudyProceedings of the ACM on Human-Computer Interaction10.1145/35796187:CSCW1(1-33)Online publication date: 16-Apr-2023
      • (2023)Bottom-up psychosocial interventions for interdependent privacy: Effectiveness based on individual and content differencesProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3581117(1-20)Online publication date: 19-Apr-2023
      • (2022)Privacy in Online Social Networks: A Systematic Mapping Study and a Classification FrameworkDisease Control Through Social Network Surveillance10.1007/978-3-031-07869-9_6(109-131)Online publication date: 21-May-2022
      • (2021)“I thought you were okay”: Participatory Design with Young Adults to Fight Multiparty Privacy Conflicts in Online Social NetworksProceedings of the 2021 ACM Designing Interactive Systems Conference10.1145/3461778.3462040(104-124)Online publication date: 28-Jun-2021
      • (2021)When Forcing Collaboration is the Most Sensible ChoiceProceedings of the ACM on Human-Computer Interaction10.1145/34491275:CSCW1(1-36)Online publication date: 22-Apr-2021
      • (2021)A joint sharing approach for online privacy preservationWorld Wide Web10.1007/s11280-021-00876-5Online publication date: 24-Apr-2021
      • (2019)A Survey on Interdependent PrivacyACM Computing Surveys10.1145/336049852:6(1-40)Online publication date: 16-Oct-2019
      • (2017)Sharing Policies in Multiuser Privacy ScenariosACM Transactions on Computer-Human Interaction10.1145/303892024:1(1-29)Online publication date: 6-Mar-2017
      • Show More Cited By

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