[目的/意义]本文将微博中传播的“谣言信息”和与其对应的“辟谣信息”视作研究对象，应用主成分分析法对其综合影响力进行对比分析，以期可以精准预测谣言和辟谣信息的综合传播影响力。[方法/过程]首先构建谣言和辟谣信息综合影响力评价体系，包括人物、话题和网络三大维度；然后，基于大量真实数据进行主成分分析，得到谣言和辟谣信息综合影响力模型；最后，应用以上模型对具体舆情案例的谣言和辟谣信息影响力进行度量。[结果/结论]结合具体实例的真实演化结果，进一步验证了模型的有效性。

[Purpose/significance] The paper regards the rumor information and the corresponding dispelling rumor information as a pair of heterogeneous information spreading in microblog, and uses Principal Component Analysis (PCA) to study comprehensive influence of the rumour and counter-rumour. [Method/process] First, constructing the evaluation index system of comprehensive influence of the rumour and counter-rumour, including figure dimensions, subject dimension and network dimension; Then, conducting the principal component analysis based on the real rumour and counter-rumour information data of microblog, separately getting the six principal components of comprehensive influence of the rumour and counter-rumour, and putting forward comprehensive influence model on the basis of the above. [Result/conclusion] The model is used to measure the influence of rumors and counter-rumour of specific public opinion case, and the validity of the model is verified by combining the real evolution results of the case.