作者：幸君珺 著
页数：392
出版社：武汉大学出版社
出版日期：2023
ISBN：9787307238473
高清校对版pdf（带目录）
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内容简介
数据新闻是一种以数据分析和可视化呈现为基础的新型新闻报道方式。数据新闻的技术性、多模态性及语类转向趋势使其成为现代语篇的典型形式。本书以2016-2019年入围或获得“数据新闻奖”(Data Journalism Awards)的作品中精选15个新闻作品为分析对象，结合语言学、符号学、新闻传播学和可视化生产相关理论和实践，在系统功能多模态话语分析框架下描写可视化图像的语篇语义系统、数据新闻的图文协同模式及语类关系，构建数据新闻的多模态语类分析框架，以期为读者呈现数据新闻作为多模态话语的意义生成方式。
作者简介
幸君珺，华东理工大学外国语学院教师，复旦大学外国语言学及应用语言学博士，悉尼大学语言学系访问学者，复旦大学新闻学院访问学者，研究领域为系统功能语言学与话语分析。在CSSCI、SSCI等期刊发表论文多篇，出版译著两本。
目录
Introduction
Chapter 1 Journalism and Data Journalism: The Production Side
1.1 An Overview of Journalism Development
1.2 Technological Innovations and Journalism Development
1.2.1 News and Technologies in the Print Era
1.2.2 News and Technologies in the Radio Era
1.2.3 News and Technologies in the Television Era
1.2.4 News and Technologies in the Digital or Online Era
1.3 Data Journalism
1.3.1 Understanding Data Journalism
1.3.2 Data News
1.3.3 Data Visualization and Its Categorization
1.4 Studies on Data Journalism: The Production Side
1.4.1 Data Journalism Production
1.4.2 Content Analysis
1.4.3 Evolution of Data Journalism
1.5 Summary
1.5.1 The Role of Technology in Meaning-making Processes
1.5.2 Multimodal Nature of Data News
1.5.3 Genre Shift in Data Journalism
Chapter 2 Data News as Multimodal Discourse: The Consumption Side
2.1 Discourse Analysis of Data News
2.2 Social Semiotic Studies on Data Visualization
2.2.1 Visualization of Culture
2.2.2 Data Visualizations as Social Semiotic Resources
2.2.3 Data Visualizations in Journalism
2.3 Studies on Multimodality
2.3.1 Approaches to Multimodality
2.3.2 Meanings in Images
2.3.3 Intermodal Interaction
2.3.4 Studies on Multimodal Genre
2.4 Studies on News Discourse
2.4.1 Major Approaches to News Discourse
2.4.2 SFL Studies on Multimodal News Discourse
2.4.3 SFL Studies on Monomodal Verbal News
2.5 Summary
Chapter 3 Towards a Multimodai Genre Model for Data News
3.1 Genre Studies
3.1.1 Three Genre Traditions
3.1.2 SFL Models on Linguistic Genres
3.2 Moving to Multimodal Genre
3.2.1 Moving to Multimodal Genre from Linguistic Approaches
3.2.2 Moving to Multimodal Genre from Studies on Visual Genre
3.2.3 Defining Multimodal Genre
3.3 Theoretical Foundations
3.3.1 Denotative and Connotative Semiotics
3.3.2 Typology and Topology
3.3.3 System and Structure
3.3.4 Metafunction, Stratification, and Instantiation
3.3.5 Realization
3.3.6 Coupling and Commitment
3.4 Building up a Genre Framework for Data News Analysis
3.4.1 Strata for Data Stories
3.4.2 Intermodal Interaction : A Coupling Perspective
3.4.3 A Multimodal Genre Model for Data News Analysis
3.5 Research Design
3.5.1 Research Questions
3.5.2 Research Data
3.5.3 Methodology and Descriptive Principle
3.6 Summary
Chapter 4 Meaning Patterns in Data News
4.1 Semiotic Modes and Mode Families in the Data
4.2 Meaning Patterns in Verbal Texts
4.2.1 Ideation and Connexion Patterns
4.2.2 Appraisal Patterns
4.2.3 Periodicity and Identification Patterns
4.3 Meaning Configurations in Image Mode Family
4.3.1 Meaning Configurations in Photographs
4.3.2 Meaning Configurations in Drawings
4.3.3 Meaning Patterns in Data Visualizations
4.3.4 Outlining Semiotic Capabilities of the Image Family Members
4.4 Meaning Patterns in Camera-shot Natural Videos
4.5 Intermodal Coupling Patterns
4.5.1 Micro Image-text Coupling
4.5.2 Macro Image-text Coupling
4.6 Summary
Chapter 5 Register and Genre Analyses of Data News
5.1 Register Analysis
5.1.1 Meaning Patterns of Mode
5.1.2 Meaning Patterns of Field
5.1.3 Meaning Patterns of Tenor
5.2 Genre Analysis
5.2.1 Process of Genre Analysis
5.2.2 Data Visualization as Elemental Genre
5.2.3 Macrogenre and Embedded Genre
5.2.4 Genre Complex
5.3 Summary: Relations Among Genres in the Data
Postscript
References
Chapter 1 Journalism and Data Journalism: The Production Side
1.1 An Overview of Journalism Development
1.2 Technological Innovations and Journalism Development
1.2.1 News and Technologies in the Print Era
1.2.2 News and Technologies in the Radio Era
1.2.3 News and Technologies in the Television Era
1.2.4 News and Technologies in the Digital or Online Era
1.3 Data Journalism
1.3.1 Understanding Data Journalism
1.3.2 Data News
1.3.3 Data Visualization and Its Categorization
1.4 Studies on Data Journalism: The Production Side
1.4.1 Data Journalism Production
1.4.2 Content Analysis
1.4.3 Evolution of Data Journalism
1.5 Summary
1.5.1 The Role of Technology in Meaning-making Processes
1.5.2 Multimodal Nature of Data News
1.5.3 Genre Shift in Data Journalism
Chapter 2 Data News as Multimodal Discourse: The Consumption Side
2.1 Discourse Analysis of Data News
2.2 Social Semiotic Studies on Data Visualization
2.2.1 Visualization of Culture
2.2.2 Data Visualizations as Social Semiotic Resources
2.2.3 Data Visualizations in Journalism
2.3 Studies on Multimodality
2.3.1 Approaches to Multimodality
2.3.2 Meanings in Images
2.3.3 Intermodal Interaction
2.3.4 Studies on Multimodal Genre
2.4 Studies on News Discourse
2.4.1 Major Approaches to News Discourse
2.4.2 SFL Studies on Multimodal News Discourse
2.4.3 SFL Studies on Monomodal Verbal News
2.5 Summary
Chapter 3 Towards a Multimodai Genre Model for Data News
3.1 Genre Studies
3.1.1 Three Genre Traditions
3.1.2 SFL Models on Linguistic Genres
3.2 Moving to Multimodal Genre
3.2.1 Moving to Multimodal Genre from Linguistic Approaches
3.2.2 Moving to Multimodal Genre from Studies on Visual Genre
3.2.3 Defining Multimodal Genre
3.3 Theoretical Foundations
3.3.1 Denotative and Connotative Semiotics
3.3.2 Typology and Topology
3.3.3 System and Structure
3.3.4 Metafunction, Stratification, and Instantiation
3.3.5 Realization
3.3.6 Coupling and Commitment
3.4 Building up a Genre Framework for Data News Analysis
3.4.1 Strata for Data Stories
3.4.2 Intermodal Interaction : A Coupling Perspective
3.4.3 A Multimodal Genre Model for Data News Analysis
3.5 Research Design
3.5.1 Research Questions
3.5.2 Research Data
3.5.3 Methodology and Descriptive Principle
3.6 Summary
Chapter 4 Meaning Patterns in Data News
4.1 Semiotic Modes and Mode Families in the Data
4.2 Meaning Patterns in Verbal Texts
4.2.1 Ideation and Connexion Patterns
4.2.2 Appraisal Patterns
4.2.3 Periodicity and Identification Patterns
4.3 Meaning Configurations in Image Mode Family
4.3.1 Meaning Configurations in Photographs
4.3.2 Meaning Configurations in Drawings
4.3.3 Meaning Patterns in Data Visualizations
4.3.4 Outlining Semiotic Capabilities of the Image Family Members
4.4 Meaning Patterns in Camera-shot Natural Videos
4.5 Intermodal Coupling Patterns
4.5.1 Micro Image-text Coupling
4.5.2 Macro Image-text Coupling
4.6 Summary
Chapter 5 Register and Genre Analyses of Data News
5.1 Register Analysis
5.1.1 Meaning Patterns of Mode
5.1.2 Meaning Patterns of Field
5.1.3 Meaning Patterns of Tenor
5.2 Genre Analysis
5.2.1 Process of Genre Analysis
5.2.2 Data Visualization as Elemental Genre
5.2.3 Macrogenre and Embedded Genre
5.2.4 Genre Complex
5.3 Summary: Relations Among Genres in the Data
Postscript
References
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