From Posts to Patterns

Using Social Media to Investigate Drivers of Population Health

Häftad, Engelska, 2026

876 kr

Kommande

Beskrivning

Harness social media data to improve population health and reduce disparitiesFrom 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 studiesFrom 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.

Produktinformation

Utgivningsdatum:2026-09-06
Format:Häftad
Språk:Engelska
Antal sidor:272
Upplaga:26001
Förlag:John Wiley & Sons Inc
ISBN:9781394338375

Utforska kategorier

Samhällsmedicin och preventiv medicin inom Medicin

Mer om författaren

THU T. NGUYEN is Associate Professor of Epidemiology and Biostatistics at the University of Maryland School of Public Health and uses social media data and AI to study population health and health equity.QUYNH C. NGUYEN is an investigator at the National Institute of Nursing Research, NIH, and Director of the HashtagHealth Lab, using social media, imagery, and AI to study health and health disparities.SHANIECE CRISS is Associate Professor of Health Sciences and Director of the Masters of Arts in Advocacy and Social Policy at Furman University and examines how communication, leadership, and civic engagement shape community health.YULIN HSWEN is Associate Professor at the University of Maryland and uses AI and digital data to uncover insights into human behavior, disease, and population health.

Innehållsförteckning

About the Authors ixList of Contributors xiPositionality Statements for the Authors xiiiPreface xxChapter 1 Introduction—Using Social Media for Health Disparities Research 1Quynh C. Nguyen, Pankaj Dipankar, Yajie Xiong, Katrina Makres, Diego Salazar, and Thu T. NguyenChapter 2 Emergence of Social Media Platforms 16Thu T. Nguyen, Heran Mane, Xiaohe Yue, Penchala Sai Priya Mullaputi, Elizabeth Dennard, Amrutha S. Alibilli, Katrina Makres, Vidur Jain, and Shaniece CrissChapter 3 Social Media Data Collection, Cleaning, and Processing by Platform (X, Facebook, Instagram, Reddit, and Bluesky) 41Heran Mane, Xiaohe Yue, Penchala Sai Priya Mullaputi, Adwaith Santhosh, Vidur Jain, Kyle Seelman, Quynh C. Nguyen, and Thu T. NguyenChapter 4 Ethical Considerations for Social Media Research 74Yajie Xiong, Katrina Makres, Heran Mane, and Thu T. NguyenChapter 5 Quantitative and Machine Learning Methods for Surveillance and Exploring Temporal and Geographic Trends 93Thu T. Nguyen, Amrutha S. Alibilli, Xiaohe Yue, Vidur Jain, and Yulin HswenChapter 6 Qualitative and Mixed Methods for Analyzing Social Media Data 107Thu T. Nguyen, Amrutha S. Alibilli, Elizabeth Dennard, and Shaniece CrissChapter 7 Using Social Media to Measure Cultural Racism and Examine Physical Health Outcomes 120Thu T. Nguyen, Penchala Sai Priya Mullaputi, and Quynh C. NguyenChapter 8 Social Media, Disability, and Chronic and Rare Illnesses: Exploring Digital Health Across Diverse Populations 130Katrina Makres, Elizabeth Dennard, Amrutha S. Alibilli, Vidur Jain, Alaa Sharaf, Quynh C. Nguyen, and Thu T. NguyenChapter 9 Social Media and Mental Health 146Thu T. Nguyen, Junaid S. Merchant, Katrina Makres, Elizabeth Dennard, Shaniece Criss, and Quynh C. NguyenChapter 10 Social Media as Sentinel Information to Detect Emerging Novel Illicit Drug Trends 172Yulin Hswen and Thu T. NguyenChapter 11 Social Media and Global Health 194Katrina Makres, Yajie Xiong, Elizabeth Dennard, Penchala Sai Priya Mullaputi, and Thu T. NguyenChapter 12 Delivery of Interventions on Social Media 211Elizabeth Dennard, Yulin Hswen, and Thu T. NguyenChapter 13 Use of AI, Predictive Models, and Synthetic Data 224Yulin Hswen, Thu T. Nguyen, Xiaoya Tang, Tolga Tasdizen, Pankaj Dipankar, and Quynh C. NguyenChapter 14 Putting Lessons into Action for Researchers, Policymakers, and the Community 237Thu T. Nguyen, Shaniece Criss, Heran Mane, Yulin Hswen, Penchala Sai Priya Mullaputi, and Quynh C. Nguyen