THE STUDY OF ONLINE INTERACTION IN TELEGRAM: A TEXT-BASED MULTIPARTY INTERACTION PLATFORM

Abstract

Computer understanding of human actions and interactions is one of the key research issues in human computing. In this regard, context plays an essential role in semantic-pragmatic understanding of human behavioural and social signals from sensor data. This paper puts forward a text-based dynamic context model to address the problems of context awareness, patterns of interaction and relationship management in the analysis of multiparty scenarios. The paper investigates online interaction through asynchronous written discussion in a computer-mediated forum. In particular, the study investigates pragmatic aspects of the communicative event which the asynchronous online discussions comprise. It examines response patterns to messages by looking at the content of initial messages and responses in order to determine the extent to which characteristics of the messages themselves or other situational factors affect the interaction. The analysis demonstrates how troubles unfold during online asynchronous communication; shows how interactants respond to, and overcome troubles; discusses how technology is a mediating factor in trouble talk; and considers how troubles in online asynchronous communication are similar to, or different from face-to-face interaction and other voice-only communication settings such as the telephone