Stanford
University
  • Stanford Home
  • Maps & Directions
  • Search Stanford
  • Emergency Info
  • Terms of Use
  • Privacy
  • Copyright
  • Trademarks
  • Non-Discrimination
  • Accessibility
© Stanford University.  Stanford, California 94305.
How Social Media Can Help Gauge Societal Health | Stanford HAI

Stay Up To Date

Get the latest news, advances in research, policy work, and education program updates from HAI in your inbox weekly.

Sign Up For Latest News

Navigate
  • About
  • Events
  • Careers
  • Search
Participate
  • Get Involved
  • Support HAI
  • Contact Us
Skip to content
  • About

    • About
    • People
    • Get Involved with HAI
    • Support HAI
  • Research

    • Research
    • Fellowship Programs
    • Grants
    • Student Affinity Groups
    • Centers & Labs
    • Research Publications
    • Research Partners
  • Education

    • Education
    • Executive and Professional Education
    • Government and Policymakers
    • K-12
    • Stanford Students
  • Policy

    • Policy
    • Policy Publications
    • Policymaker Education
    • Student Opportunities
  • AI Index

    • AI Index
    • AI Index Report
    • Global Vibrancy Tool
    • People
  • News
  • Events
  • Industry
  • Centers & Labs
news

How Social Media Can Help Gauge Societal Health

Date
April 14, 2022
Topics
Healthcare
Natural Language Processing
Machine Learning
Communications, Media

Hundreds of millions of people use social media in the U.S. A computational social scientist explains how to harness the technology to measure mental and physical well-being.

Are U.S. adults happy? Sad? Depressed? One can answer these questions by calling thousands of people and surveying their psychological state, a strategy that’s both costly and time-consuming.

But with the help of machine learning and artificial intelligence, you can also measure a population’s well-being by turning to social media platforms and tracking what millions of people are talking about.

In this episode of Stanford Engineering’s The Future of Everything, computational social scientist Johannes Eichstaedt and host, bioengineer and Stanford HAI Associate Director Russ Altman, discuss how social media can be used to gauge a population’s psychological state, including how events like COVID-19 have impacted well-being. They also discuss how social media has the potential to work as an early warning system for public health crises to help cities and counties deploy resources where they’re most needed. 

 

Stanford HAI’s mission is to advance AI research, education, policy and practice to improve the human condition. Learn more. 

Share
Link copied to clipboard!
Contributor(s)
Engineering Staff

Related News

Why 'Zero-Shot' Clinical Predictions Are Risky
Suhana Bedi, Jason Alan Fries, and Nigam H. Shah
Jan 07, 2026
News
Doctor reviews a tablet in the foreground while other doctors and nurses stand over a medical bed in the background

These models generate plausible timelines from historical patterns; without calibration and auditing, their “probabilities” may not reflect reality.

News
Doctor reviews a tablet in the foreground while other doctors and nurses stand over a medical bed in the background

Why 'Zero-Shot' Clinical Predictions Are Risky

Suhana Bedi, Jason Alan Fries, and Nigam H. Shah
HealthcareFoundation ModelsJan 07

These models generate plausible timelines from historical patterns; without calibration and auditing, their “probabilities” may not reflect reality.

Stanford Researchers: AI Reality Check Imminent
Forbes
Dec 23, 2025
Media Mention

Shana Lynch, HAI Head of Content and Associate Director of Communications, pointed out the "'era of AI evangelism is giving way to an era of AI evaluation,'" in her AI predictions piece, where she interviewed several Stanford AI experts on their insights for AI impacts in 2026.

Media Mention
Your browser does not support the video tag.

Stanford Researchers: AI Reality Check Imminent

Forbes
Generative AIEconomy, MarketsHealthcareCommunications, MediaDec 23

Shana Lynch, HAI Head of Content and Associate Director of Communications, pointed out the "'era of AI evangelism is giving way to an era of AI evaluation,'" in her AI predictions piece, where she interviewed several Stanford AI experts on their insights for AI impacts in 2026.

Most-Read: The Stanford HAI Stories that Defined AI in 2025
Shana Lynch
Dec 15, 2025
News
illustration of people reading computers, phones, and print

Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models.

News
illustration of people reading computers, phones, and print

Most-Read: The Stanford HAI Stories that Defined AI in 2025

Shana Lynch
Economy, MarketsGenerative AIHealthcareDec 15

Readers wanted to know if their therapy chatbot could be trusted, whether their boss was automating the wrong job, and if their private conversations were training tomorrow's models.