چکیده (انگلیسی):

In today’s world, the issue of identifying spammers has received increasing attention because of its practical
relevance in the field of social network analysis. The growing popularity of social networking sites has
made them prime targets for spammers. By allowing users to publicize and share their independently
generated content, online social networks become susceptible to different types of malicious and
opportunistic user actions. Social network community users are fed with irrelevant information while
surfing, due to spammer’s activity. Spam pervades any information system such as e-mail or web, social,
blog or reviews platform. Therefore, this study attempts to review various spam detection frameworks
which deals about the detection and elimination of spams in various sources.