short-paper

REACT: REcommending Access Control decisions To social media users

Authors:

Jose M. SuchAuthors Info & Claims

ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

Pages 421 - 426

https://doi.org/10.1145/3110025.3110073

Published: 31 July 2017 Publication History

Abstract

The problems that social media users have in appropriately controlling access to their content has been well documented in previous research. A promising method of providing assistance to users is by learning from the access control decisions made by them and making future recommendations. In this paper, we present REACT, a learning mechanism which utilizes information available in the social network in conjunction with information about the content to be shared to provide users with access control recommendations. We demonstrate the highly accurate performance of REACT through a detailed empirical evaluation and also discuss ways of personalizing it for different users in order to improve performance even further.

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Cited By

Ramokapane KSuch JRashid A(2022)What Users Want From Cloud Deletion and the Information They Need: A Participatory Action StudyACM Transactions on Privacy and Security10.1145/354657826:1(1-34)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3546578
Zhan XSarkadi SCriado NSuch JConitzer VTasioulas JScheutz MCalo RMara MZimmermann A(2022)A Model for Governing Information Sharing in Smart AssistantsProceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3514094.3534129(845-855)Online publication date: 26-Jul-2022
https://dl.acm.org/doi/10.1145/3514094.3534129
Alemany JVal EGarcía-Fornes A(2022)A Review of Privacy Decision-making Mechanisms in Online Social NetworksACM Computing Surveys10.1145/349406755:2(1-32)Online publication date: 18-Jan-2022
https://dl.acm.org/doi/10.1145/3494067
Show More Cited By

REACT: REcommending Access Control decisions To social media users
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction paradigms

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ASONAM '17: Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

July 2017

698 pages

ISBN:9781450349932

DOI:10.1145/3110025

Copyright © 2017 ACM.

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 ACM 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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Published: 31 July 2017

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ASONAM '17: Advances in Social Networks Analysis and Mining 2017

July 31 - August 3, 2017

Sydney, Australia

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Overall Acceptance Rate 116 of 549 submissions, 21%

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Cited By

Ramokapane KSuch JRashid A(2022)What Users Want From Cloud Deletion and the Information They Need: A Participatory Action StudyACM Transactions on Privacy and Security10.1145/354657826:1(1-34)Online publication date: 7-Nov-2022
https://dl.acm.org/doi/10.1145/3546578
Zhan XSarkadi SCriado NSuch JConitzer VTasioulas JScheutz MCalo RMara MZimmermann A(2022)A Model for Governing Information Sharing in Smart AssistantsProceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society10.1145/3514094.3534129(845-855)Online publication date: 26-Jul-2022
https://dl.acm.org/doi/10.1145/3514094.3534129
Alemany JVal EGarcía-Fornes A(2022)A Review of Privacy Decision-making Mechanisms in Online Social NetworksACM Computing Surveys10.1145/349406755:2(1-32)Online publication date: 18-Jan-2022
https://dl.acm.org/doi/10.1145/3494067
Díaz Ferreyra NHecking TAïmeur EHeisel MHoppe H(2022)Community detection for access-control decisions: Analysing the role of homophily and information diffusion in Online Social NetworksOnline Social Networks and Media10.1016/j.osnem.2022.10020329(100203)Online publication date: May-2022
https://doi.org/10.1016/j.osnem.2022.100203
Ramokapane KMazeli ARashid A(2019)Skip, Skip, Skip, Accept!!!: A Study on the Usability of Smartphone Manufacturer Provided Default Features and User PrivacyProceedings on Privacy Enhancing Technologies10.2478/popets-2019-00272019:2(209-227)Online publication date: 4-May-2019
https://doi.org/10.2478/popets-2019-0027
Diaz Ferreyra NMeis RHeisel M(2018)At Your Own Risk: Shaping Privacy Heuristics for Online Self-disclosure2018 16th Annual Conference on Privacy, Security and Trust (PST)10.1109/PST.2018.8514186(1-10)Online publication date: Aug-2018
https://doi.org/10.1109/PST.2018.8514186
Díaz Ferreyra NHecking TUlrich Hoppe HHeisel M(2018)Access-Control Prediction in Social Network Sites: Examining the Role of HomophilySocial Informatics10.1007/978-3-030-01159-8_6(61-74)Online publication date: 20-Sep-2018
https://doi.org/10.1007/978-3-030-01159-8_6

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