## 5 Discussion
### Domains, Attributes, and Variables
Users' connections can be quite informative while sometimes they can be used to state users' social capital [53; 74]. Users share information about their social status or social role [76] to increase their social capital or manage the impressions of other users [24]. Users share location information about their presence at their university not only for disclosing their geographical position but also to gain prestige as members of the academia [73]. Sensitive information regarding national identity, race, or religious beliefs are presented on SM. National identity can unveil information about Face, Frame, Stage, and Activity or Performance. Combining Face, Frame, and Activity is powerful enough to target the user via disclosing religious beliefs. Religious representations, such as the burqa, can easily be identified on a profile by a photograph post [19]. Users may reveal information about their class, income, and political orientation or party through posting photographs, quotes, personal beliefs, or engaging in online commenting. Face, Frame, and Activity might be unveiled on both their and their friends' profiles. Another important finding of the table above relates to the revelation of all five attributes of SI through groups of interests and hobbies. Users represent themselves by talking, posting, or sharing information about their interests. Pushing the like button or getting enrolled in groups and pages is another very common practice that users employ to become acquaintances with people with shared interests. Traffic flows, mentions, likes, and consumer-oriented options and tendencies are descriptive of users' preferences, as well as the brands and services that they follow [78]. Group affiliation [69; 75], favorite music [13; 36; 69; 75], favorite videos [13], favorite films [13; 36; 45; 74; 75], favorite books [13; 36; 45; 74; 75], personal statements by famous people and narrative descriptions [48; 69; 75; 79], favorite TV shows [69; 75], and opinions, values, and ethics [40; 60] are shared for the same reason. The most revealing SA are illustrated in Figure 3. A double-check was conducted on which and how many of the SI general domains correspond to the SA to evaluate the aforementioned attributes on SM while putting them on an evaluative scale from the most to the least revealing. According to Figure 4, the most revealing SA include all five general domains of SI, namely users' photographs, education, occupation, personal websites, and groups of interests. Additional privacy implications can be raised due to potential inferences when combining them. Revelations of one of them or of a combination of them lead to additional inferences, increasing users' identification while imposing privacy implications. Making inferences by linking different accounts, combining information revealed by different parties [38], or \"accumulated SM posts, particularly when coupled with other data sources such as demographic data, statistical data or household data, which are increasingly available as open-source repositories\" [80] (p. 2), intensifies the use of personal information as a \"commodity\" [12] or as entertainment content [20]. Inferences about one's private information and, therefore, identity can be discussed in a more technical approach [38]: using structure anonymization methods to build upon users' privacy protection of combined data published by various parties. In the subsequent section, we move to classifying the fundamental social domains for examining a user's digital identity along with the SA discussed above. Sorting users' SA by creating clusters of socially oriented attributes can help in specifying users' expected ways of disclosing SA.