Digital Textuality
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Beschreibung
From topics such as digital literacy and online communities, to questions surrounding identity and hybridity, Digital Textuality is an essential guide for anybody who wants to understand how the English language is being used in new media technologies.
Covering a range of genres such as collaborative and hypertext fiction, social media and news sites, this is required reading for students of language and linguistics, media and cultural studies.
Digital Textuality includes:
• Numerous examples drawn from real-life texts that reflect this exciting and fast-evolving field
• Easy-to-understand linguistic approaches that reflect the very latest in language-based research
• Additional readings in every chapter, with activities and sample projects to give the reader ideas for further reflection and study
Digital Textuality explores the ways in which the English language is used in new media technologies. This undergraduate textbook covers a range of digital text genres, including news sites, social media, collaborative fiction, hypertext fiction and poetry. Using Hallidayan linguistics, along with other approaches, such as Discourse Analysis, Multimodal Semiotics and Text World Theory, this book reflects the latest language-based research in digital texts. Topics included in these chapters are digital literacy, identity, online communities, hybridity and superdiversity.
Covers a range of digital text genres, including news sites, social media, collaborative fiction and poetry
Reflects latest research in digital texts
Activities and sample projects designed for students to work independently or in groups
Introduces features of digital texts and goes beyond, applying different approaches
Autor*in
Paola Trimarco
Themen in »Digital Textuality«
Applied Linguistics Critical Language Studies Digital Literacy Digital Poetics English English language Literary Stylistics Media Studies and Computer Games Design. Digital Textuality Narrative New Media Social Net applied linguistics computer digital hypertext