Recognizing deviants in Social Networking Sites: Case study fupei.com

In the last few years, social networking sites (SNSs) have grown rapidly as a new media used by people to create and maintain relationship. Ironically, social network sites are also used to do deviant behaviors, i.e. pornography, racism, predators, and fake profiles. A need then emerges to reduce those deviances. This research tries to recognize the deviants based on their characteristics. Descriptive and inferensial statistics are used to seek out the differences between deviants and nondeviants on certain attributes. Analysis finds the deviants and nondeviants are significantly different on certain attributes and not on some attributes. Some of those findings confirm the theories of deviance. Based on the findings, several design implications are proposed. A social control system then issued in order to reduce deviances in SNS.