Misra, Gaurav and Such, Jose (2017) REACT:REcommending Access Control decisions To social media users. In: ASONAM '17 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017. ACM, New York. ISBN 9781450349932
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.