From Posts to Patterns

Using Social Media to Investigate Drivers of Population Health

Thu T. Nguyen, Quynh C. Nguyen, Shaniece Criss, Yulin Hswen

• Publisher: Wiley
• Year: 2026
• Print ISBN:
  9781394338375
• eBook ISBN:
  9781394338382
• Edition: 1
• Topic: Medizin
• Subtopic: Gesundheitswesen, Verwaltung & Pflege

Harness social media data to improve population health and reduce disparities

From Posts to Patterns solves an urgent problem in public health research: the underutilization of social media as a data source. With adults spending 2.5 hours daily on social platforms, social media is a pervasive exposure that influences how people communicate, the information they receive, and their interactions and behaviors both online and offline. In this book, leading social epidemiologists provide practical guidance for leveraging social media data to address health disparities.

The book delivers a comprehensive roadmap for collecting, cleaning, and analyzing social media data in accessible language. It explores measuring cultural racism, investigating underground health behaviors, and deploying social media interventions. The authors present evidence-based strategies for reducing health disparities and improving population health.

 Readers will also find:

• Practical tools and methods for collecting, cleaning, and analyzing social media data for health research, accessible to users with and without advanced technical skills

• Evidence-based frameworks for measuring area-level racial bias and tracking temporal and geographic changes in health-related discourse across populations

• Strategies for investigating illicit or underground health behaviors through social platforms that traditional research methods cannot easily capture

• Guidance on understanding both the benefits and harms of social media, including its role in spreading misinformation, building communities, and enabling health activism

• Real-world case studies demonstrating how social media data provides near real-time insights into emerging diseases, behaviors, and therapies with greater geographic and temporal granularity than traditional studies

From Posts to Patterns is essential for public health researchers expanding their methodological toolkit, policy makers reducing health disparities, and anyone understanding how digital environments shape health outcomes. This book empowers readers to harness social media's potential for advancing health equity while navigating its challenges.

Table of contents

• COVER
• TABLE OF CONTENTS
• FROM POSTS TO PATTERNS
• Copyright
• DEDICATION
• ABOUT THE AUTHORS
• LIST OF CONTRIBUTORS
• POSITIONALITY STATEMENTS FOR THE AUTHORS
• PREFACE
• CHAPTER 1: INTRODUCTION—USING SOCIAL MEDIA FOR HEALTH DISPARITIES RESEARCH
• CHAPTER 2: EMERGENCE OF SOCIAL MEDIA PLATFORMS
• CHAPTER 3: SOCIAL MEDIA DATA COLLECTION, CLEANING, AND PROCESSING BY PLATFORM (X, FACEBOOK, INSTAGRAM, REDDIT, AND BLUESKY)
• CHAPTER 4: ETHICAL CONSIDERATIONS FOR SOCIAL MEDIA RESEARCH
• CHAPTER 5: QUANTITATIVE AND MACHINE LEARNING METHODS FOR SURVEILLANCE AND EXPLORING TEMPORAL AND GEOGRAPHIC TRENDS
• CHAPTER 6: QUALITATIVE AND MIXED METHODS FOR ANALYZING SOCIAL MEDIA DATA
• CHAPTER 7: USING SOCIAL MEDIA TO MEASURE CULTURAL RACISM AND EXAMINE PHYSICAL HEALTH OUTCOMES
• CHAPTER 8: SOCIAL MEDIA, DISABILITY, AND CHRONIC AND RARE ILLNESSES
• CHAPTER 9: SOCIAL MEDIA AND MENTAL HEALTH
• CHAPTER 10: SOCIAL MEDIA AS SENTINEL INFORMATION TO DETECT EMERGING NOVEL ILLICIT DRUG TRENDS
• CHAPTER 11: SOCIAL MEDIA AND GLOBAL HEALTH
• CHAPTER 12: DELIVERY OF INTERVENTIONS ON SOCIAL MEDIA
• CHAPTER 13: USE OF AI, PREDICTIVE MODELS, AND SYNTHETIC DATA
• CHAPTER 14: PUTTING LESSONS INTO ACTION FOR RESEARCHERS, POLICYMAKERS, AND THE COMMUNITY
• End User License Agreement