This study investigates iMessage Tapbacks (e.g., [heart], [thumb up], !!) as "sequence-closing seconds," or minimal responses that fulfill conversational obligations in text-based group chats. Through conversation analysis of three group conversations, the analysis demonstrates how Tapbacks operate as efficient second pair-parts (2pps)…

This study explores the opening sequences of Mandarin text messages on WeChat, focusing on the role of the phrase "zaima," meaning "are you there?" in English, in digital communication. While conversation openings have been widely studied in face-to-face and telephonic interactions, research on text message openings, especially…

This study explores uses of the quote-and-reply (Q&R) function in WeChat through conversation analysis. Analyzing 7 naturally occurring chat samples, the research identifies 3 primary interactional practices: sequence-jumping, which enables responses to non-adjacent turns across temporal gaps; response facilitation, where quotes are…

The present study analyzed the use of conversation analysis (CA) in online interaction. The aim of the study is to describe the patterns of turn taking, repair, and the adjacency pairs in the online conversation. Employing a qualitative research methodology, data were taken from an online conversation about how to learn English, taking place in…

This study investigates the interactional functions of the "Slightly Smiling Face" (SSF) emoji in Chinese WeChat conversations through the lens of Conversation Analysis (CA). Drawing on 50 naturally occurring chat excerpts involving 12 participants across various relationship types, the study identifies three core uses of the SSF emoji:…

This article addresses the need to better understand interactional asymmetries, challenges, and solutions in implementing synchronous hybrid language teaching. We investigate video-recorded peer interactions in a higher education language teaching context in which a student uses a telepresence robot, a remotely moveable videoconferencing tool, to…