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This paper digs out the corresponding influencing factors by defining the traditional music communication effect. For research purposes, the questionnaire is analyzed to analyze the impact of traditional music communication from an Internet perspective. Two distribution methods, online and offline, are used to collect research data. The data are analyzed based on the Pearson correlation coefficient and multiple regression model, after testing the reliability of the questionnaire. The music form scored the highest, with a mean of 20.70 and a standard deviation of 12.09, and it had the greatest influence on the traditional music dissemination process. There is a significant positive correlation between music content, music form, creator, communicator, audience, and communication media and traditional music communication effect, P |
