Social Software Engineering is a new field of study that aims to identify how social aspects interact and affect the design of software during the software development cycle. The identification of social parameters and criteria that affect the elicitation of technical, functional and non-functional requirements is a critical step for the system to be. Protecting users’ privacy on the other hand, is also critical since users tend to utilize services and applications they trust especially regarding the manipulation and handling of their personal information. At the same time users are inclined to express their privacy concerns regarding mobile applications that store and disseminate various privacy related information e.g. geolocation data. The social parameters and social criteria which are indicative for setting requirements and designing software focusing on privacy issues by previous literature, are explored, focusing on users’ social identity and geolocation data in social media. Drawing on Social, Information and Communication and Geolocation Theories, users’ special characteristics of social identity- multiplicity, permeability and overlapping- will be explored, as well as their possible revealing information by utilizing geolocation services – space of actions, frames-, in order to identify users’ faces in this field. This work aims to broaden understanding of users’ digital identities and geolocation data impact through an interdisciplinary approach, on the setting of requirements elicitation and modelling approaches for designing privacy-aware systems.