[Purpose/significance]As a new government public service platform based on social media,the government WeChat plays an increasingly important role in the efforts of promoting the processes of govern-ment information-opening and building service-oriented government and digital government.This article starts from analyzing the evaluation standards of the impact of government WeChat to improve the service quality and the communication effect.[Method/process]In order to improve the level of credibility and intelligence of the evaluation, this article proposes a PSO-BP Neural Network model to evaluate the impact of government WeChat.Firstly,the model builds an index system with four first level indicators:information services,usage behavior,platform character,and influencing power based on mass communication theory;Then the model adopts AHP to determine the weight vectors of index and uses grey method to get clustering coefficients and results;Finally,an experiment is conducted using PSO-BP Neural Network model to evaluate 50 government WeChat platforms.[Result/conclusion]The experiment validates that the model is effective and intelligent.Adopting the model will improve the performance of government WeChat platforms.
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