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。但目前数据新闻的研究主要来自新闻传播学界，关注数据新闻的概念和理念厘定、可视化表征等内容分析和新闻生产者角色与作用，未关注其作为话语的叙事逻辑和意义生成过程。本书以获得“数据新闻奖”的作品为分析对象，结合符号学、新闻传播学及可视化生产的相关理论和实践，以系统功能多模态话语研究为主要理论基础，构建数据新闻的多模态语类分析框架，解读数据新闻作为多模态话语的意义生成方式。分析框架以数据新闻的语篇语义层为出发点，从耦合角度分析不同符号在实例化语篇中跨层次、跨元功能、系统间、系统内部的协同模式，进而分析数据新闻话语的语类特征。研究发现，可视化图像是数据新闻叙事的重要实现形式，对时间、因果、比较、相关关系等有其独特的表征方式；文字和可视化图像虽有不同的意义潜势或可供性(affordance)，但在组合生成为实例化的话语时，可协作实现相同的语类目标；作为超文本的数据新闻，呈现向混合语类发展的趋势，实例化为语类综合体(genre complex)或含有嵌入语类的宏观语类(macrogenre)。

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。曾获第五届上海高校青年教师教学竞赛（人文科学组）三等奖。主持教育部人文社科青年基金项目1项，在CSSCI、SSCI等期刊发表论文7篇，出版译著2种。其中，中文译著《诉说忧伤：抑郁症的社会学分析》获评“2022医界好书”之“特别推荐”书籍等荣誉。

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