Title

GeoIntelligence: Data Mining Locational Social Media Content for Profiling and Information Gathering

Document Type

Conference Proceeding

Publisher

School of Computer and Information Science, Security Research Centre, Edith Cowan University, Perth, Western Australia

Faculty

Faculty of Computing, Health and Science

School

School of Computer and Security Science / Security Research Centre (secAU)

RAS ID

13105

Comments

This article was originally published as: Hannay, P. , & Baatard, G. (2011). GeoIntelligence: Data mining locational social media content for profiling and information gathering. Paper presented at the The 2nd International Cyber Resilience Conference, Edith Cowan University, Perth, Western Australia.

Abstract

The current social media landscape has resulted in a situation where people are encouraged to share a greater amount of information about their day-to-day lives than ever before. In this environment a large amount of personal data is disclosed in a public forum with little to no regard for the potential privacy impacts. This paper focuses on the presence of geographic data within images, metadata and individual postings. The GeoIntelligence project aims to aggregate this information to educate users on the possible implications of the utilisation of these services as well as providing service to law enforcement and business. This paper demonstrates the ability to profile users on an individual and group basis from data posted openly to social networking services.