With the development of Internet technology, social networks have gradually become the main medium for interpersonal information exchange and a broad platform for information dissemination. The dissemination process of traditional Chinese cultural information in social networks is characterized by fast dissemination speed and low dissemination costs. Based on the perspective of multi-objective optimization, this paper constructs a multi-objective optimization model to maximize the influence of Chinese traditional culture information dissemination, taking into account factors such as structural influence, user interest, and dissemination cost. The classical influence maximization algorithm is used to obtain influential nodes as candidate seed sets, and the structural influence, interest of the affected users, and dissemination cost of the seed sets are calculated. And use the evolutionary multi-objective optimization algorithm to obtain the undominated solution set for multi-objective influence maximization. Finally, validation experiments of the proposed solution scheme are conducted on citation networks based on real social network data. The user participation of mass culture information in social network communication ranges from 0.721 to 0.785, while niche culture information ranges from 0.201 to 0.332, and there is a difference in the informational communication effect between the two, which suggests that the proposed method can provide more flexible decision-making suggestions for Chinese traditional culture communicators.