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What can language tell us about society? Looking at a range of genres, from political speeches to internet chat, this book shows how qualitative methods are used to analyse discourses throughout the social sciences. The practical problems of designing and conducting discourse-based research are solved in this key resource for all social scientists.
This book provides an overview of a range of quantitative methods, presenting a thorough analytical toolbox which will be of practical use to researchers across the social sciences as they face the challenges raised by new technology-driven language practices. The book is driven by a reflexive mind-set which views quantifying methods as complementary rather than in opposition to qualitative methods, and the chapters analyse a multitude of different intra- and extra-textual context levels essential for the understanding of how meaning is (re-)constructed in society. Uniting contributions from a range of national and disciplinary traditions, the chapters in this volume bring together state-of-the-art research from British, Canadian, French, German and Swiss authors representing the fields of Political Science, Sociology, Linguistics, Computer Science and Statistics. It will be of particular interest to discourse analysts, but also to other scholars working in the digital humanities and with big data of any kind.
Kevin C. Dunn and Iver B. Neumann offer a concise, accessible introduction to discourse analysis in the social sciences. A vital resource for students and scholars alike, Undertaking Discourse Analysis for Social Research combines a theoretical and conceptual review with a “how-to” guide for using the method. In the first part of the book, the authors discuss the development of discourse analysis as a research method and identify the main theoretical elements and epistemological assumptions that have led to its emergence as one of the primary qualitative methods of analysis in contemporary scholarship. Then, drawing from a wide-range of examples of social science scholarship, Dunn and Neumann provide an indispensable guide to the variety of ways discourse analysis has been used. They delve into what is gained by using this approach and demonstrate how one actually applies it. They cover such important issues as research prerequisites, how one conceives of a research question, what “counts” as evidence, how one “reads” the data, and some common obstacles and pitfalls. The result is a clear and accessible manual for successfully implementing discourse analysis in social research.
Gregor Wiedemann evaluates text mining applications for social science studies with respect to conceptual integration of consciously selected methods, systematic optimization of algorithms and workflows, and methodological reflections relating to empirical research. In an exemplary study, he introduces workflows to analyze a corpus of around 600,000 newspaper articles on the subject of “democratic demarcation” in Germany. He provides a valuable resource for innovative measures to social scientists and computer scientists in the field of applied natural language processing.
Talk is one of the main resources available to qualitative researchers. It offers rich, meaningful data that can provide real insights and new perspectives. But once you have the data how do you select an appropriate means of analysis? How do you ensure that the approach you adopt is the best for your project and your data? The book will help you choose strategies for qualitative analysis that best suit your research. It walks you through key decisions, provides actionable game plans and highlights the advantages and challenges of the main approaches. It is packed full of real examples designed to showcase the different tools you might use to meet your own objectives. Each section of the book focuses on one popular strategy for analyzing talk-based data: Narrative Analysis Conversation Analysis Discourse Analysis Taken together these sections will help you to fine-tune the link between your primary research question and your methods; to ensure that your theoretical stance fits with your methods; and to reason through your analysis in a way that will be recognizable to the intellectual communities of narrative, conversation, or discourse analysts. This book is both starting point and map for any social scientist looking to strategically and purposefully analyse talk data.
Kevin C. Dunn and Iver B. Neumann offer a concise, accessible introduction to discourse analysis in the social sciences. A vital resource for students and scholars alike, Undertaking Discourse Analysis for Social Research combines a theoretical and conceptual review with a “how-to” guide for using the method. In the first part of the book, the authors discuss the development of discourse analysis as a research method and identify the main theoretical elements and epistemological assumptions that have led to its emergence as one of the primary qualitative methods of analysis in contemporary scholarship. Then, drawing from a wide-range of examples of social science scholarship, Dunn and Neumann provide an indispensable guide to the variety of ways discourse analysis has been used. They delve into what is gained by using this approach and demonstrate how one actually applies it. They cover such important issues as research prerequisites, how one conceives of a research question, what “counts” as evidence, how one “reads” the data, and some common obstacles and pitfalls. The result is a clear and accessible manual for successfully implementing discourse analysis in social research.
A unique anthology of textual analysis methodologies, this book offers a thorough introduction to the key approaches and the tools students need to implement them. Every chapter contains not just the theory behind each methodology, but also its advantages and disadvantages, its problems with ontology and language, and its relationship to studying social phenomenon. Through contemporary and relatable real-world worked examples, the book illustrates different contexts in which a methodology has been successfully used and allows students to see the methods in action and extrapolate the techniques into their own research. Methods included: Content analysis Argumentation analysis Qualitative analysis of ideas Narrative analysis Metaphor analysis Multimodal discourse analysis Discourse analysis Engaging and authoritative in equal measure, this guide to textual analysis is the perfect foundation for students conducting research in the social sciences.
What is the relationship between discourse analysis and its more recent companion disciplines such as sociology, political science and information and communication sciences, at their point of convergence between the symbolic and the social? What is the place and role of discourse analysis in Europe? This title deals with these questions.
This book is designed as an introduction to Critical Discourse Analysis (CDA) and gives an overview of the various theories and methods associated with this sociolinguistic approach. It also introduces the reader to the leading figures in CDA and the methods to which they are most closely related. The text aims to provide a comprehensive description of the individual methods, an understanding of the theories to which methods refer and a comparative treatment of each of these methods so that students may be able to determine which is the most appropriate to select for their particular research question. Given the balance between theory and application, plus the intended audience - no previous knowledge of CDA is assumed - Methods of Critical Discourse Analysis should be useful reading for both students and researchers in the fields of linguistics, sociology, social psychology and the social sciences in general.
This book provides a useful guide for researchers, reviewers, and consumers who are charged with judging the quality of qualitative studies.