Resolving Multi-party Privacy Conflicts in Social Media

  • Unique Paper ID: 145637
  • PageNo: 658-661
  • Abstract:
  • Information shared through Social Media may affect more than one user’s privacy — e.g., Information that depict different users, comments that mention different users, events in which different users are invited, etc. In this paper , Many types of privacy management support in present mainstream Social Media foundation makes users unable to appropriately control the sender and receiver. Computational components that can consolidate the protection inclinations of various clients into a solitary strategy for a thing can help take care of this issue. Combining distinctive client's close to home inclinations is troublesome subsequently clashes happen in protection inclinations, so strategies to determine clashes are required. Additionally, these strategies need to consider how clients' would really achieve an engagement about an answer for the contention keeping in mind the end goal to propose arrangements that can be adequate by the greater part of the clients influenced by the data to be shared. show approaches are either excessively requesting or just think about settled methods for collecting protection inclinations. Here, we acquaint the essential computational system with beat issues in Social Media that can adjust to various circumstances by demonstrating the concessions that clients make to achieve a responses to the contentions. The present consequences of a client think about in which our presented system outflanked other present methodologies regarding how frequently each approach coordinated clients' activity.
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Copyright & License

Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

BibTeX

@article{145637,
        author = {P. Sreenath and G. Ananth Nath},
        title = {Resolving Multi-party Privacy Conflicts in Social Media },
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {4},
        number = {10},
        pages = {658-661},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=145637},
        abstract = {Information shared through Social Media may affect more than one user’s privacy — e.g., Information that depict different users, comments that mention different users, events in which different users are invited, etc. In this paper , Many types  of privacy management support in present  mainstream Social Media foundation makes users unable to appropriately control  the sender and receiver. Computational components that can consolidate the protection inclinations of various clients into a solitary strategy for a thing can help take care of this issue. Combining distinctive client's close to home inclinations is troublesome subsequently clashes happen in protection inclinations, so strategies to determine clashes are required. Additionally, these strategies need to consider how clients' would really achieve an engagement about an answer for the contention keeping in mind the end goal to propose arrangements that can be adequate by the greater part of the clients influenced by the data to be shared. show approaches are either excessively requesting or just think about settled methods for collecting protection inclinations. Here, we acquaint the essential computational system with beat issues in Social Media that can adjust to various circumstances by demonstrating the concessions that clients make to achieve a responses to the contentions. The present consequences of a client think about in which our presented system outflanked other present methodologies regarding how frequently each approach coordinated clients' activity.},
        keywords = {Social Media, Privacy, Conflicts, Multi-party Privacy, Social Networking Services, Online Social Networks.},
        month = {},
        }

Cite This Article

Sreenath, P., & Nath, G. A. (). Resolving Multi-party Privacy Conflicts in Social Media . International Journal of Innovative Research in Technology (IJIRT), 4(10), 658–661.

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