The existing research on online manipulation merely examines the phenomena throughthe aspects of cognitive hacking, semantic social engineering attack, mediadisinformation tactics, and user customized content and emotional contagion. Furthermore,focus is on the way it impacts user’s cognition, emotions and behavior. The concept of user victimization as a result of online manipulation has been researched but the current studies fail to come up with asolution-based approach. In this paper, through conceptual deployment of Artificial Intelligence technique’s a framework is proposed that could detectonline manipulationand prevent user’s victimization. The framework can be prototyped and further improved by integrating usability designing heuristics and functional requirements. However, in this research it has been substantially argued that an intelligent datamining supported by secure privacy layer will detect manipulation on user generated content and prevent unauthorized access to user’s personal data, intercept spreading of inauthentic content and protect users from being victimized. The study is particularly useful for researchers who could develop an intelligent system for this particular purpose.
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