The development of social networks is a topic of study for several areas, and with the increased use of the Internet in professional and leisure activities, online social networks have emerged: services with the goal of providing an interface between individuals.
The objective is to propose an analysis based data model on personal privacy data issues, from the identification of the characteristics of the collection of data from the referenced API to assist in identifying potential actions and activities which are detrimental to privacy obtained through the data collection process.
The research universe is limited to the services available on the Internet that use APIs as interoperability interfaces of their content and the sample was defined in three APIs: from Facebook, Twitter and LinkedIn.
The methodology adopted was exploratory analysis, in qualitative form, with combined methods based on the exploitation of the technical characteristics of APIs and the reading of available documents, being segmented by the perspectives: professional areas involved, collection technology and knowledge prerequisites.
To conduct this study, three cycles are proposed: first, with the identification of the characteristics of the structure of data collection and the functionalities presented by the APIs; second, propose a model of the data from the collection of the characteristics of existing structures (Direct Model); and third, a model of Second Order, with specific information about referenced data privacy for the analysis of data privacy aspects to share with third parties.
Keywords: Privacy. Social Network. Application Programming Interface. Data. Personal Data.
- Fernando de Assis Rodrigues
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