Cyber Social Security (CSS): A Lens on Methods for Extraction of Social Sensor Data

The combination of data coming from social media, smartphones and from urban sensors can actually enable the ability to carry out in-depth analyzes and understand complex phenomena based on human behavior, opening new scenarios for the development of numerous innovative services and applications. By following this research line, the recent paradigm of Social Sensing further emphasized this vision, since it proposed an integrated model in which users themselves are turned into sensors, entities that produce simple rough information which is processed and aggregated in order to generate some valuable human-based findings obtained through the combination and merge of individual-based data. Therefore, considering this scenario, the research work aims to identify and characterize all open information sources that can be interfaced with applications, useful for detecting and interpreting human behavior and the social context, and through language analysis. It also intends to survey and characterize the affective, cognitive, and executive factors that influence/determine human behavior in the use of new technologies. The international geopolitical scenario will also be traced in order to be able to interpret human and social behaviors correctly.