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
Biography
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.
"Embark on a captivating exploration of Korean political discourse in this book, uncovering questions and responses that reveal political strategies. Analyzing how question structure shapes social action, it offers great insights into the dynamics of institutional discourse."
Mary Shin Kim, Professor at University of Hawaii at Manoa, Hawaii
"Decoding Korean Political Talk: From Data to Debate is a pioneering work offering invaluable insights into South Korea's political communication from 2016 to 2021. Combining quantitative and qualitative methods, it unravels the intricacies of political discourse, making it essential for scholars, students, and professionals in various fields."
Mee-jeong Park, Chair in East Asian Languages and Literatures at the University of Hawaii at Manoa, Hawaii
