
Discourse Analysis and Media Attitudes: The Representation of Islam in the British Press by Paul Baker โ A Corpus Lingui
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Product Description
Introduction
In an era where media narratives shape public opinion, understanding how language influences perceptions of religion and culture is more critical than ever. Discourse Analysis and Media Attitudes: The Representation of Islam in the British Press by Paul Baker offers a groundbreaking, data-driven exploration of how British newspapers have portrayed Islam and Muslims. Published by Cambridge University Press, this hardcover volume is an essential resource for students, researchers, and anyone interested in the intersection of linguistics, media studies, and social attitudes. With a rigorous analysis of over 140 million words, this book provides an objective, nuanced look at explicit and subtle biases in press coverage.
Book Overview
Paul Baker, a leading figure in corpus linguistics, teams up with co-authors to dissect a massive corpus of British newspaper articles spanning key events like the 9/11 and 7/7 attacks. The book moves beyond simple counts of positive or negative words, employing sophisticated discourse analysis to uncover patterns in how journalists use phrases such as 'devout Muslim,' 'veil,' and 'hate preacher.' By combining quantitative corpus methods with qualitative reading, the authors reveal how media language can reinforce stereotypes or challenge them, offering a balanced yet critical perspective on press attitudes.
Key Highlights
- Massive Data Set: Analysis of over 140 million words from British newspapers, providing unparalleled statistical depth.
- Mixed Methods Approach: Combines corpus linguistics (frequency, collocation, concordance) with discourse analysis for richer interpretation.
- Timely Topics: Covers representations of Muslim women wearing the veil, so-called 'hate preachers,' and the impact of terrorist attacks on reporting.
- Self-Reflexive: Authors critically examine their own analytical frameworks, ensuring transparency and methodological rigor.
- Multidisciplinary Lens: Incorporates insights from journalism studies, readership surveys, and attitude research to contextualize findings.
Inside the Book
The book is structured to guide readers through the entire research process, from building the corpus to interpreting results. Early chapters introduce corpus linguistics tools and discourse analysis principles, making the methodology accessible even to those new to the field. Core chapters focus on specific case studies: how the term 'Muslim' collocates with words like 'extremist' or 'moderate,' how the niqab and hijab are framed in news stories, and how references to 'Islam' shift after major events. The final chapters synthesize findings into a broader discussion on media responsibility, prejudice, and the power of language in shaping social realities.
Key Topics
- Corpus linguistics and discourse analysis methods
- Media representation of Islam and Muslims
- Explicit vs. implicit prejudice in newspaper language
- Collocational patterns and semantic prosody
- Framing of Muslim women and veiling practices
- Representation of 'hate preachers' and religious leaders
- Impact of 9/11 and 7/7 on press reporting
- Journalistic practices and readership attitudes
- Language, ideology, and power in public discourse
Reader Benefits
This book equips readers with practical tools to critically analyze media texts, whether in academic research, journalism, or everyday reading. You will learn how to identify subtle biases that statistics alone cannot reveal, and how to apply corpus methods to your own studies. The clear explanations of linguistic terminology mean that even readers without a background in linguistics can follow the arguments. For Indian students and scholars, the lessons are transferable to analyzing media representations of minority communities in India, making this a globally relevant text.
Learning Outcomes
- Understand the principles of corpus linguistics and how to build a specialized corpus.
- Identify patterns of representation (e.g., collocations, concordances) that reveal media attitudes.
- Distinguish between overt prejudice and more subtle, 'everyday' forms of bias in language.
- Critically evaluate the role of context, including journalistic norms and audience expectations, in shaping discourse.
- Apply discourse analysis techniques to other media texts and social issues.
Who Should Read
Discourse Analysis and Media Attitudes is ideal for postgraduate students and researchers in linguistics, media studies, political science, sociology, and journalism. It is also highly valuable for journalists seeking to reflect on their own craft, and for activists or policymakers concerned with religious representation and social cohesion. The book's accessible style makes it suitable for advanced undergraduates as well. Indian readers studying media representation of religious minorities will find the methodological framework directly applicable to local contexts.
About the Author
Paul Baker is a Professor of English Language at Lancaster University, UK, and a pioneer in the field of corpus linguistics. He has authored numerous influential books, including Using Corpora in Discourse Analysis and Sociolinguistics and Corpus Linguistics. His work focuses on the intersection of language, identity, and ideology, often using large-scale data to investigate social issues such as gender, sexuality, and religious representation. Baker's research is known for its methodological innovation and commitment to transparency, making him a trusted voice in critical discourse studies.
About the Publisher
Cambridge University Press is one of the oldest and most prestigious academic publishers in the world, with a history dating back to 1534. Renowned for its rigorous peer-review process and high editorial standards, Cambridge publishes cutting-edge research across the humanities and sciences. This book is part of their distinguished linguistics and media studies catalogue, ensuring that readers receive authoritative, well-edited content that meets the highest academic benchmarks.
Conclusion
Discourse Analysis and Media Attitudes: The Representation of Islam in the British Press is a vital contribution to understanding the power of language in shaping public perception. By combining big data with nuanced qualitative analysis, Paul Baker and his co-authors provide a model for how to study media representation responsibly and critically. Whether you are a student, a researcher, or a concerned citizen, this book will change the way you read the news. Order your hardcover copy today from Bookshops.in and add this essential volume to your library.
Quick Summary
Discourse Analysis and Media Attitudes: The Representation of Islam in the British Press by Paul Baker is a groundbreaking academic work that uses corpus linguistics and discourse analysis to scrutinize over 140 million words from British newspapers. The book systematically investigates how Islam and Muslims are portrayed, revealing both explicit and subtle prejudices. It covers key topics such as the depiction of Muslim women wearing the veil, the framing of 'hate preachers', and the profound impact of the 9/11 and 7/7 attacks on media narratives. Baker also examines the meaning behind commonly used phrases like 'devout Muslim' and incorporates research on journalistic practices, readership patterns, and attitude surveys. This multidisciplinary approach ensures a balanced, self-reflexive analysis. Ideal for students and researchers in linguistics, media studies, sociology, and cultural studies, the book equips readers with tools to critically evaluate media bias. Buying from Bookshops.in ensures you receive an authentic hardcover copy from Cambridge University Press, delivered to your doorstep in India.
Book Highlights
Book Specifications
| ISBN-13 | 9781107008823 |
| ISBN-10 | 1107008824 |
| Publisher | โ Cambridge University Press |
| Language | โ English |
| Dimensions | โ 15.88 x 1.27 x 23.5 cm |
| Weight | โ 560 g |
| Country | โ India |
| Category | Communication & Journalism โบ Communications |
| Genre | Academic |
| Original Language | English |
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