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Quote-and-Reply in WeChat: A Conversation Analytic Study

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Title: Quote-and-Reply in WeChat: A Conversation Analytic Study
Language: English
Authors: Yajing Yang
Source: Studies in Applied Linguistics & TESOL. 2025 25(1):50-61.
Availability: Teachers College, Columbia University. 525 West 120th Street, New York, NY 10027. e-mail: tcsalt@tc.columbia.edu; Web site: https://tesolal.columbia.edu
Peer Reviewed: Y
Page Count: 12
Publication Date: 2025
Document Type: Journal Articles
Reports - Research
Descriptors: Discourse Analysis, Computer Software, Computer Mediated Communication, Synchronous Communication, Interpersonal Communication, Connected Discourse, Communication Strategies, Humor, Social Media, Chinese, Foreign Countries, English, Translation
Geographic Terms: China, United States
ISSN: 2576-2907
Abstract: 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 incorporated in the message to enhance clarity and thematic coherence; and spotlighting prior text, which emphasizes specific messages for alignment or humor. Findings reveal how Q&R transforms digital communication by mitigating challenges of multi-party chats and asynchronous interactions. The study contributes to understanding how platform-specific features reshape conversation structures, offering insights for designing more effective digital communication tools.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1478736
Database: ERIC
FullText Text:
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  Data: Teachers College, Columbia University. 525 West 120th Street, New York, NY 10027. e-mail: tcsalt@tc.columbia.edu; Web site: https://tesolal.columbia.edu
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  Data: 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 incorporated in the message to enhance clarity and thematic coherence; and spotlighting prior text, which emphasizes specific messages for alignment or humor. Findings reveal how Q&R transforms digital communication by mitigating challenges of multi-party chats and asynchronous interactions. The study contributes to understanding how platform-specific features reshape conversation structures, offering insights for designing more effective digital communication tools.
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