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By the comprehensive analyzing of misinformation on micro-blog, applied the idea of Dendritic Cells Algorithm provided a method to test the misinformation on micro-blog. Took the Sina micro-blog as an example, analyzed the information from two sides, one side was the property of misinformation publisher, the other side was the comment content of the misinformation, selected the user’s properties, such as, identified whether the publisher was certified, had brief introduction , had detailed address, number of attention, number of funs etc . selected the comments’ properties ,such as the relativity between the content of micro-blog and comment, the support and confidence of comment etc. took the above property analyzing results as property signals to identify the misinformation and real information, and realized the identification of false information based on the Dendritic Cells Algorithm( DCA) on Sina micro-blog. We did the comparison experiment and test the effectiveness of the algorithm by using the real data on Sina micro-blog , the result shows that this method can test the false information on Sina micro-blog effectively, has high test accuracy rate.