Title data
Dayter, Daria ; Rüdiger, Sofia:
The Language of Pick-Up Artists : Online Discourses of the Seduction Industry.
London ; New York
:
Routledge
,
2022
. -
226 p.
- (Routledge Research in Language and Communication
)
ISBN 978-0-367-47300-6
Abstract in another language
This book adopts a corpus-based discourse analysis approach to the study of the communicative practices of pick-up artists, offering a systematic exploration of distinct language use in an online community that uses speed-seduction practices for short-term dating and sex. Drawing on a multi-million-word corpus comprising data from online forums, social media, informational websites, and YouTube videos, the volume explores the verbal practices and narrative framing techniques that pick-up artists (PUAs) draw upon in their interactions with women and the terminology-heavy language used in teaching pick-up to foster perceptions of scientific validity. The book also unpacks videos and reports of live interactions to study naturally occurring PUA discourse from different perspectives but also to more closely examine conceptual metaphors of competition and violence and critically reflect on the ethical considerations of working with such communities. This book will appeal to students and scholars in such disciplines as discourse analysis, corpus linguistics, computer-mediated communication, and language and media, as well as those interested in the study of language use online.
Further data
Item Type: | Book / Monograph |
---|---|
Institutions of the University: | Faculties > Faculty of Languages and Literature Faculties > Faculty of Languages and Literature > Chair English Linguistics Faculties > Faculty of Languages and Literature > Chair English Linguistics > Chair English Linguistics - Univ.-Prof. Dr. Susanne Mühleisen Faculties |
Result of work at the UBT: | Yes |
DDC Subjects: | 400 Language > 400 Language 400 Language > 410 Linguistics 400 Language > 420 English, Old English languages |
Date Deposited: | 02 Feb 2022 11:23 |
Last Modified: | 02 Feb 2022 11:23 |
URI: | https://eref.uni-bayreuth.de/id/eprint/68556 |