Perception of implicatures in Chinese diplomatic discourse by Russianspeaking audience (Based on GLMM)

This article aims to examine the persuasiveness of various types of implicatures in Chinese diplomatic discourse for Russianspeaking audience. The material was comprised by texts of press conferences of the Chinese Ministry of Foreign Affairs from January through June, 2024. On the whole, this research adopts the theoretical frameworks of pragmatics, psycholinguistics and statistics. The study used text analysis JASP software for ANOVA to process the experimental text data. Then the linguistic experiment was designed and conducted on the Gorilla platform, which is intended for building and collecting data from online studies. The participants – 30 native Russian speakers – were randomly recruited through the Prolific platform, which specializes in professional participant recruitment. Statistic analysis was performed using Rstudio software to build Generalized Linear Mixed Models. During the experiment, 3 categories of implicatures (based on H. P. Grice) were tested: generalized implicature (category A), particulirized implicature (category B) and conventional implicature (category C). The analysis of 450 reactions obtained from the participants showed that, first, generalized implicature exhibits the highest level of persuasiveness for Russian audience as far as messages employing semantic logical reasoning appear more compelling for this audience. Second, no statistically significant difference was found between particularized and conventional implicatures, however, they both were found considerably less persuasive compared to generalized implicature.