Michele Zappavigna, Andrew S. Ross

Innovations and Challenges in Social Media Discourse Analysis (eBook, ePUB)

• Format: ePub

Produktbeschreibung

Innovations and Challenges in Social Media Discourse Analysis provides a key introduction to the analysis of everyday discourse on social media platforms.

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Produktdetails

• Verlag: Taylor & Francis
• Erscheinungstermin: 27. Dezember 2024
• Englisch
• ISBN-13: 9781040133095
• Artikelnr.: 72481956

Autorenporträt

Michele Zappavigna is Associate Professor at the University of New South Wales. Her major research interest is in exploring ambient affiliation in the discourse of social media using social semiotic, multimodal, and corpus-based methods. She is a co-editor of the journal Visual Communication. Key books include Searchable Talk: Hashtags and Social Media Metadiscourse (2018) and Discourse of Twitter and Social Media (2012). Recent co-authored books include Researching the Language of Social Media (2014; 2022, Routledge), Modelling Paralanguage Using Systemic Functional Semiotics (2021), and Emoji and Social Media Paralanguages (2024).

Andrew S. Ross is a Senior Lecturer at the University of Canberra. His research focuses on the use of (multimodal) critical discourse analysis in social media discourse. His work includes the edited volumes The Sociolinguistics of Hip-Hop as Critical Conscience: Dissatisfaction and Dissent (2018) and Discourses of (De)Legitimization: Participatory Culture in Digital Contexts (2019, Routledge). His work has appeared in journals such as New Media & Society; Discourse, Context & Media; Language and Communication; and Social Media + Society.

Inhaltsangabe

Acknowledgements
Credits
List of acronyms and abbreviations
Chapter 1 - Introduction
Chapter 2 - Searchable Talk
Chapter 3 - Construing Values
Chapter 4 - Ambient Affiliation - Communing and Negotiating
Chapter 5 - Intersubjectivity and Self-representation in Multimodal Social
Media
Chapter 6 - Social Media Paralanguage: Emoji in Social Media Communication
Chapter 7 - Conclusion: Ambient Affiliation as Semiotic Labour
Index