Method for detecting users who score maliciously in online social media system

The invention discloses a method for detecting users who score maliciously in an online social media system. The method for detecting users who score maliciously in the online social media system arms at scoring feedback. Firstly, clustering is conducted according to scores for products by users, and the normalized user confidence degree is calculated; secondly, the reliability degree of user scoring is calculated according to the user confidence degree to obtain a candidate list of the users who score maliciously; finally, candidate users who score maliciously are sorted in combination with the deviation degree of user scoring and product quality to obtain the final list of the users who score maliciously. The method has advantages in the aspects of calculation accuracy and efficiency and can be applied to large-scale online social media websites.