# Toward Addressing Location Privacy Issues: New Affiliations with Social and Location Attributes
## 3 Results
### Users' Identity through Geolocation Information  
The papers included in this category discuss how geolocation information is descriptive enough to provide specific information about users' identity through location infuriation. Location-sharing applications (LSAs) as a part of location-based services support current location sharing among users. [PERSON], [PERSON], [PERSON], [PERSON], and [PERSON] in [15] take a closer look at the way that people share their geolocation information, using one-to-one or one-to-many sharing. In addition, this paper focuses on the difference of revealing a user's location based on the purpose, meaning for purpose-driven or social-driven purpose. The study focuses on the social-driven purpose and concludes that \"social-driven location sharing favored semantic location names, blurring of location information, and using location information to attract attention and boost self-presentation\" (p. 10). The study was carried out on a limited number of participants for a limited period of time, while participants were all members of the academic community. That is, users tend to disclose their location information in a way that boosts their social status in order to catch other users 'attention. The next two articles can serve our purpose as examples of how users utilize location-aware services to represent themselves, adding desirable characteristics to their identities. [PERSON], [PERSON], and [PERSON] suggest a location recommender system that is constituted of offline modeling (social knowledge learning and personal preference discovery), and online recommendation (preference aware candidate selection and location rating calculation) [16]. This paper investigates users' location histories in order to understand their preferences while traveling to a new city. The authors identify two main challenges that are linked to specifying users' preferences and defining a rating for a user's unknown place. Location recommendations match users' interests with nearby places by following specific requirements, namely user preferences, the current location of the user and the opinions of a location given by other users. The contribution of the study is proposing a location-based and preference-aware recommendation system that takes care of both user preferences, which are inferred by his/her location history, and social opinions, which are derived from local experts' location histories. For example, a user that identifies herself as \"sommelier\" has already provided information on her inclination from previous logs, and thus can acquire information on places of interest, e.g., wine bars, from other users with the same expertise. Location-aware services are also employed in a number of dating applications, which are commonly used to match nearby individuals who are interested in meeting new partners. [PERSON], [PERSON], [PERSON], and [PERSON] carry out a survey on how men who have sex with men (a term that refers to both people who identify themselves as gay and people who do not identify themselves as such) handle their identities and online information in order to represent themselves through Grindr. The representation is very condensed as far as language is concerned, as the focus is placed on users' images [12]. The language is of primary concern for users to identify themselves through a location. According to the study, except for neighborhoods, cities, and states, users tended to locate themselves through universities, as they function as landmarks carrying socio-economic or educational status. The study concludes that neighborhood level was used more often in larger cities, while users used the city-level identification either when they were present or while traveling. According to [PERSON] and [PERSON], [17] users' location information can be shared on social media applications in order to represent their identity. The term \"spatial self\" describes the representation of the user via geocoded online traces, adding information about his/her social sphere.