Studying the structure of social aspects of interactions in spoken speech is important for creating artificial intelligence systems capable of understanding everyday human talk and contributing to it in a natural manner. Much of the recent research in computational pragmatics has focused on modeling and testing specific linguistic phenomena like metaphor, irony, conversational maxims, etc., while studies in dialogue pragmatics tend to pay more attention to task-oriented conversations with the research of social aspects mostly left to the functioning of formulaic expressions. This paper presents the ongoing research on the annotation of social talk in Russian using the taxonomy from ISO standard 24617-2:2020 “Semantic annotation framework, Part 2: Dialogue acts”. Specifically, we report on the analysis of dialogue acts used in establishing social contact (namely, greetings and introductions) in dialogues from the Russian Multimedia Politeness Corpus, including multi-party interactions, and propose new communicative functions to cover widespread conversational intentions. Additionally, we provide preliminary conclusions on characteristic features of oral Russian communication within these forms of interactional exchange.