Buch, Englisch, 152 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 203 g
A Corpus Linguistics Approach to the Rhetorical God Gap
Buch, Englisch, 152 Seiten, Format (B × H): 140 mm x 216 mm, Gewicht: 203 g
Reihe: Routledge Advances in Corpus Linguistics
ISBN: 978-0-367-78778-3
Verlag: Routledge
Drawing on corpus linguistic methods of analysis, this book critically examines the "rhetorical God gap" in American political discourse between the Democratic and Republican parties. The volume investigates the claims (which have often not been substantiated by quantitative data in the literature and have tended to focus on particular genres of political discourse) that there is a correlation between a higher degree of religiosity in Republican political discourse and voting preferences for the party and that Democratic politicians should engage in similar discourse toward "closing" the gap. The book adopts a keyword approach, using such techniques as collocation analyses, concordance reading, and Bible-specific N-gram identification, toward the study of a corpus of general campaign speeches over a 50-year period, and links findings from this data with social and cultural contextual factors to provide a more informed understanding of rhetorical patterns in religiously laden political language. The volume showcases the value of corpus linguistic methods in interrogating claims around political language and their broader applicability in linguistic research, making this key reading for students and scholars in corpus linguistics, critical discourse analysis, American politics, and religious studies.
Zielgruppe
Postgraduate and Undergraduate
Autoren/Hrsg.
Weitere Infos & Material
List of Figures
List of Tables
Acknowledgements
Introduction
1 Methodology and Limitations
2 Religious Rhetoric in the Early Cold War
3 The GOP’s Rhetoric of Culture Wars and Anti-Liberalism
4 The Religious Rhetoric of the Democratic Party: Religious Denominations, Communities of Brothers and Sisters and Biblically Inspired Language
5 Conclusion
Index