To measure Chinese microblog, a framework of Credibility of Chinese Microblog based on Information Fusion (CCM-IF) was proposed by analyzing impact factors of Chinese microblog and their pedigree. Firstly, different evaluating methods were implemented for three particular features, such as text message, user, and information propagation. Secondly, a method based on Dempster-Shafer (D-S) theory was proposed to combine the features from the fuzzy nature of the credibility. Thirdly, a series of experimental validations involving two real datasets from Sina Weibo were conducted. Experimental results show that the accuracy of CCM-IF is 10%-20% higher than that of the classical ranking algorithm named LMJM (Language Modeling with Jelinek-Mercer smoothing). So, as a static indicator of quality assessment, CCM-IF can be used for microblog retrieval ordering and garbage microblog filtering.