信息的增长、术语定义和概念内涵的变化为信息搜索和使用带来了困难；新技术的普及使用户在网络上的信息行为变得更为复杂。在大量网络信息中，健康信息是重要的一部分，社交媒体也成为用户生产、传播、使用健康信息的重要平台。本书对社交媒体健康信息的相关概念、研究对象和内容、研究成果进行了较为全面的梳理，总结了社交媒体健康信息研究的主要方法、技术，并以维基百科家庭健康信息研究作为实例，呈现了此类研究的完整过程。

王彦妍，博士，中国人民大学信息资源管理学院讲师，毕业于美国威斯康辛大学密尔沃基分校，研究方向为信息行为、健康信息学、数字人文。

Chapter 1 Production of Data, Information and Knowledge on Social Media
1.1 Introduction
1.2 Notions
1.2.1 Social Media
1.2.2 Data, Information, Knowledge & Knowledge Production
1.2.3 Lay People VS Experts
1.3 Knowledge Production: Past & Present
1.3.1 Development of Knowledge Production: Past& Present
1.3.2 What is Commons-based Peer Production
1.3.3 What is Produsage
1.3.4 Features of Social Media Knowledge Production
1.3.5 Comparison of Past and Present Knowledge Production
1.4 Participation of Lay People
1.4.1 Lay People Foster Data, Information and Knowledge Production
1.4.2 Lay People Complicate Data, Information and Knowledge Production
1.5 Quality Control of Content on Social Media
1.5.1 Quality Control Approaches
1.5.2 Role of Experts
1.6 Summary
Chapter 2 Research Methods Applied in Studies on Social Media
2.1 Introduction
2.2 Data Collection Methods
2.2.1 Data Types
2.2.2 Data Collection Approaches
2.2.3 Data Integration
2.3 Data Analysis Approaches
2.3.1 Social Web Mining
2.3.2 Coding of Social Media Content
2.4 Challenges of Social Media Research: Data Collection and Analysis
2.4.1 Challenges in Data Collection
2.4.2 Challenges in Data Analysis
2.5 Summary
Chapter 3 A Study of Health-Related Information on Social Media:Evolution of Family-Health-Related Topics
3.1 Background & Rationale
3.2 Research Problem, Questions and Hypotheses
3.2.1 Research Problem Statement
3.2.2 Research Question
3.2.3 Research Question
3.2.4 Research Question
3.3 Research Design
3.4 Definitions of Terms
3.5 Health Information Studies
3.5.1 Consumer Health Information
3.5.2 Health Information on Social Media
3.5.3 Family Health Studies
3.6 Temporal Analysis
3.6.1 What is Temporal Analysis
3.6.2 Temporal Analysis Applied to Information Retrieval
3.6.3 Temporal Analysis Applied to Data Mining
3.7 SOM Studies
3.7.1 SOM History, Theories and Algorithms
3.7.2 Applications of SOM
3.8 Summary
Chapter 4 Evolution of Family-Health-Related Topics on SocialMedia: Methodology
4.1 Introduction
4.2 Assumptions
4.3 Data Collection
4.3.1 Selection of a Social Media Platform
4.3.2 Selection of Topics
4.3.3 Selection of Entries
4.3.4 Selection of the Periods
4.3.5 Text Collection
4.3.6 Page Views and Edits Data Collection
4.3.7 Ethic Issues
4.4 Data Analysis
4.4.1 Categories and Themes
4.4.2 Text Data Organization
4.4.3 SOM Approach
4.4.4 Subject Analysis
4.4.5 Inferential Analysis
4.4.6 Temporal Analysis
4.5 Validity and Reliability
4.5.1 Validity
4.5.2 Reliability
4.6 Summary
Chapter 5 Evolution of Family-Health-Related Topics on SocialMedia: Results
5.1 Descriptive Results
5.1.1 Topics and Themes
5.1.2 Descriptive Results of Page Edits
5.1.3 Descriptive Results of Page Views
5.1.4 Descriptive Results Summary
5.2 Results of Research Question
5.2.1 Topics, Themes, and Associated Entries
5.2.2 Subjects Analysis Results
5.2.3 Research Question 1 Results Summary
5.3 Results of Research Question
5.3.1 Entry Growth in Each Period
5.3.2 Changes in Subjects
5.3.3 Changes in External Popularities
5.3.4 Research Question 2 Results Summary
5.4 Results of Research Question
5.4.1 Differences and Commonalities among the External Popularity Evolution Patterns
5.4.2 Differences and Commonalities among the Internal Characteristic Evolution Patterns
5.4.3 Research Question 3 Results Summary
5.5 Summary
Chapter 6 Evolution of Family-Health-Related Topics on SocialMedia: Discussion, Implications, and Conclusion
6.1 Discussion
6.1.1 External Popularity Evolution Patt