作者: Georgios Petkos , Symeon Papadopoulos , Yiannis Kompatsiaris
DOI: 10.1109/ARES.2015.80
关键词: Structure (mathematical logic) 、 Information privacy 、 Privacy by Design 、 Service (systems architecture) 、 Personally identifiable information 、 World Wide Web 、 Internet privacy 、 Social media 、 Computer science 、 Privacy software 、 Social network
摘要: The phenomenal increase in the use of social media recent years has raised a number issues related to privacy. In this paper, we propose framework for raising awareness Online Social Network (OSN) users with respect information about them that is disclosed and can be inferred by OSN service operators as well third parties access their data. This takes form semantic, hierarchical scoring structure, enables easily browse over different privacy-related aspects presence network. Contrary previous privacy approaches, proposed provides finer more intuitive organization information. Importantly, it also into account both explicitly mentioned users' shared content, implicit information, may from it. We make available an open source implementation framework.