This book offers an illuminating exploration into the complex world of political communication in South Korea from 2016 to 2021, shedding light on its underlying rhetoric, strategy, and power dynamics. An indispensable resource for scholars in the fields of linguistics, political science, communication studies, and Asian studies.
This book offers an illuminating exploration into the complex world of political communication in South Korea from 2016 to 2021, shedding light on its underlying rhetoric, strategy, and power dynamics. An indispensable resource for scholars in the fields of linguistics, political science, communication studies, and Asian studies.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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