A comparative corpus study of words from the SMM field in Russian and English

Modern information technologies lead to the possibility of researching a language not only in traditional ways, that is, by analyzing dictionaries, fiction, written texts, but also by computer processing of large volumes or corpora of texts. This work is devoted to the study of the vocabulary of the SMM sphere (marketing in social networks) using the tools of corpus linguistics. The problem of SMM vocabulary is related to the fact that this area still remains unexplored, although the niche itself has been rapidly developing in recent years. New terms, combinations of words, new meanings for certain lexical units appear. The purpose of this study is to identify the lexico-semantic and stylistic features of the vocabulary of the SMM sphere and compile a dictionary based on lexical units of the English and Russian corpora of SMM texts. To achieve this goal, we collect English and Russian corpora of texts related to SMM (interviews with SMM specialists, excerpts from books and monologues of SMM specialists, and other SMM texts). Further, these corpora are analyzed in the AntConc and LancsBox programs, the frequency of individual words and certain characteristic correlations of the SMM vocabulary are revealed. AntConc and LancsBox are tools for statistical analysis of texts. At the end of the study, based on the results obtained in the AntConc and LancsBox programs, a dictionary of the most common and frequent SMM vocabulary is compiled.