Chapter 1. Introduction
Chapter 2. Research on Linguistic Creativity Online
Chapter 3. Novelty Twitter Accounts
Chapter 4. Tumblr Chats
Chapter 5. Amazon Review Parodies
Chapter 6. Conclusions
Biography
Camilla Vásquez is a Professor of Applied Linguistics at the University of South Florida (USF), USA.
"Not only does this book address an important aspect of digital communication, but it is also one of the clearest and most comprehensive accounts of linguistic creativity from a discourse analytical point of view I have ever read. Suitable for both students and seasoned scholars, it will be an indispensable addition to the bookshelf of anyone who studies the internet."
Rodney Jones, University of Reading, UK
"Camilla Vásquez’s recent monograph is a significant contribution to the burgeoning field of research on users’ creative humour construction on the internet, specifically on social media. (...) Rather than addressing the well-entrenched forms of humour, such as memes, on which much ink has been spilt from various perspectives, she focuses on phenomena that have not been widely acknowledged or investigated yet (...) Vásquez grabs readers by the hand, leading them through her discussions of previous literature and the research she has conducted (...) Human creativity is unbounded, which is something that scholars can and should capitalise on, using Vásquez’s monograph as a fertile source of inspiration."
Marta Dynel, Language in Society, 2019
Overall, this monograph vividly depicts, with reference to such internet genres as Twitter accounts, Tumblr Chats and Amazon parody reviews, how research on language can be extended and expanded with the everyday use of internet and social media platforms. By focusing on humor and linguistic creativity, this book makes a timely contribution to the ever-increasing interest in digital dicourse studies, showcasing how digital interactions have provided both chances and challenges for discourse studies. By adopting a close, qualitative and interpretive approach, Vásquez demonstrates convincingly that small-scale online data rather than the so-called “big data” can lead to thought-provoking findings and insights. In fact, it is not always the case that “big data” will necessarily lead to big conclusions.
Li Zhuo, Beijing Foreign Studies University
