Kang | Decoding Korean Political Talk | Buch | 978-1-032-73726-3 | sack.de

Buch, Englisch, 266 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 553 g

Reihe: Routledge Studies in Linguistics

Kang

Decoding Korean Political Talk

From Data to Debate
1. Auflage 2024
ISBN: 978-1-032-73726-3
Verlag: Taylor & Francis Ltd (Sales)

From Data to Debate

Buch, Englisch, 266 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 553 g

Reihe: Routledge Studies in Linguistics

ISBN: 978-1-032-73726-3
Verlag: Taylor & Francis Ltd (Sales)


This book offers an illuminating exploration into the complex world of political communication in South Korea from 2016 to 2021.

Through an in-depth analysis of 34 political conversations totalling over 275 hours, this book presents a groundbreaking interdisciplinary study combining quantitative and qualitative methods. It delves into the intricate design and strategic use of questions and answers in political dialogue, shedding light on the underlying rhetoric, strategy, and power dynamics. By examining the seismic shifts in South Korea's political landscape, including a major political scandal, the impeachment of the president, North–South relations, and the COVID-19 pandemic, this work presents a unique perspective on how political conversations shape, and are shaped by, societal and global events. It is a vital contribution to the study of Korean linguistics, offering tools and frameworks for analyzing political dialogue in a political setting.

An indispensable resource for scholars and students in the fields of linguistics, political science, communication studies, and Asian studies, as well as political enthusiasts and professionals engaged in diplomatic and governmental sectors. It offers readers insights into the nuanced strategies of political discourse, enhancing their understanding of how language shapes politics and vice versa.

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Zielgruppe


Academic and Postgraduate


Autoren/Hrsg.


Weitere Infos & Material


Table of Contents



Preface

Introduction

Chapter 1. Background

1. Historical Backdrop of Korean Politics and Political Talk

Context 2016–2021: Influences on Political Landscape

2016 President Park Geun-hye’s Impeachment and Political Hearing

2017 Presidential Election

2. Theoretical Foundations

2.1 Interactional Linguistics and Conversation Analysis

2.2. Previous CA Research: Language Dynamics in Institutional Settings

2.3. Previous Research on Korean Political Talk

2.4 Interrogative Structures in Korean Language



Part I. Setting the Stage

Chapter 2. The Power of Big Data Analytics: Collection, Understanding, and Analysis

1. The Benefits of Big Data Analytics

2. The Data

3. Counting Questions and Answers: Criteria and Analysis

4. A Hybrid Approach

5. Analytical Procedure

Chapter 3. Understanding Questions and Answers

1. Questions

1.1 Types of Questions and Their Social Actions

2. Answers

2.1 Response Design: Preferred and Dispreferred Responses

2.2 Repair



Part II. Findings

Chapter 4. Revelations From Big Data Analytics: Decoding Patterns and Insights

1. Decoding Political Discourse: A Text Mining Approach

1.1 The significance of Parts of Speech (POS)

1.2 The Prevalence of Verbs, Nouns, Adjectives, and Adverbs

2. Semantic Network Analysis

3. Sentiment Analysis

4. Exploring Questions: Grammatical Items for Forming Questions

4.1 Overt Interrogative Sentence Endings

4.2 Q-Words

4.3 Declarative Sentence Endings

5. Types of Questions and Their Frequency of Distribution

Chapter 5. Questions and Their Responses

1. Introduction

Section 1. Major Questions and Their Answers

5.1 Type A: Positive Polar Questions

5.2 The Most Frequent Polar Questions, -c(i)yo

5.3 Type B: Wh-Questions

5.4. Type C: Negative Questions

5.5 Conclusion

Section 2. Minor Questions and Their Answers

5.6 Type D: Rhetorical Questions

5.7 Type E: Declarative Questions

5.8 Type F: Alternative Questions

5.9 Conclusion

Chapter 6. Conclusion

1. Findings

2. Limitations and Further Studies

Appendix A: Transcription Conventions

Appendix B: Abbreviations

Index


Sujin Kang is an AI prompt engineer based in South Korea. She holds both a PhD and MA in Korean Linguistics from the University of Hawaii at Manoa. Specializing in interactional linguistics and conversation analysis, her expertise lies at the intersection of language and technology. Presently, her work involves engaging with large language models to enhance and refine the dynamics of AI-to-human interaction.



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