Twitter conference discussion sessions: How and why researchers engage in online discussions

Twitter for academic purposes has been analysed from multiple perspectives such as genre analysis, the use of multimodality and hypertextuality, or type of participants; yet interactivity between writers and readers remains under-researched. This study analyses academic-related conversations from the Twitter conference genre, particularly focusing on the discussion session. Its objective is to identify the main interactional patterns, communicative functions, and digital discourse features in tweets. Dialogic turns were classified into comments, questions, responses, follow-up conversations, and automatic comments. Findings reveal that the main reasons behind online interaction correspond with community building and knowledge construction purposes. The digital medium does shape the form of tweets, which shows a high level of evaluative language, conversational style features, hedging, and emojis. All in all, these discursive features help create a welcoming and engaging style needed to engage in online science communication practices on social media.

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Publication Details

Journal
Research in Corpus Linguistics
Published
2024-11-15
DOI
https://doi.org/10.32714/ricl.13.01.05
Primary Topic
Discourse Analysis in Language Studies
Type
article
Field-Weighted Citation Impact
0.00

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article

Twitter conference discussion sessions: How and why researchers engage in online discussions

Rosana Villares
Research in Corpus Linguistics
Discourse Analysis in Language Studies
article

Twitter conference discussion sessions: How and why researchers engage in online discussions

Rosana Villares
article en

Abstract

Twitter for academic purposes has been analysed from multiple perspectives such as genre analysis, the use of multimodality and hypertextuality, or type of participants; yet interactivity between writers and readers remains under-researched. This study analyses academic-related conversations from the Twitter conference genre, particularly focusing on the discussion session. Its objective is to identify the main interactional patterns, communicative functions, and digital discourse features in tweets. Dialogic turns were classified into comments, questions, responses, follow-up conversations, and automatic comments. Findings reveal that the main reasons behind online interaction correspond with community building and knowledge construction purposes. The digital medium does shape the form of tweets, which shows a high level of evaluative language, conversational style features, hedging, and emojis. All in all, these discursive features help create a welcoming and engaging style needed to engage in online science communication practices on social media.

Research in Corpus LinguisticsVol. 13(1)
Universidad de Zaragoza (ES)
European Commission, Ministerio de Ciencia e Innovación, Gobierno de Aragón, Agencia Estatal de Investigación
Openalex Percentile: Top 69%
Discourse Analysis in Language Studies
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