SNAP: Social Media and Network Analy5cs for Public Health Henry - - PowerPoint PPT Presentation

snap social media and network analy5cs for public health
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SNAP: Social Media and Network Analy5cs for Public Health Henry - - PowerPoint PPT Presentation

SNAP: Social Media and Network Analy5cs for Public Health Henry Kautz Goergen Ins1tute for Data Science, University of Rochester Idea Social media users = distributed sensor network Challenge Discovering signal in noise


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SLIDE 1

SNAP: Social Media and Network Analy5cs for Public Health

  • Henry Kautz
  • Goergen Ins1tute for Data Science,

University of Rochester

  • Idea
  • Social media users =

distributed sensor network

  • Challenge
  • Discovering signal in noise
  • Method
  • Machine learning
  • Applica1ons
  • Tracking influenza
  • Measuring alcohol use
  • Improving food safety

!me-lapse heatmap of tweets from NYC

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SLIDE 2

Analyzing Tweets

  • Goal: find rare tweets about specific disease symptoms (1 / 50,000)
  • Previous approach: keywords
  • Problems: “sick of homework”, “under the weather”
  • Our approach: machine learning
  • Use “Mechanical Turk” workers to create training data
  • 98% accuracy

Sick Tweets Machine Learning System Training Data Contains “sneeze”? “sick”? “1red”?

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SLIDE 3

Twi@erhealth

Using a “flu symptom” classifier, we can:

  • Measure flu levels

accurately and quickly

  • Predict risk of par1cular

users catching the flu

  • Discover correla1ons

between flu and factors such as air pollu1on

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SLIDE 4

nEmesis

  • Listen to tweets to find

possible cases of food poisoning

  • Use results to priori1ze

restaurant inspec1ons

  • 3 month trial is Las Vegas:

proved effec1ve in double blind trial

  • CDC funding 5 year

expansion

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SLIDE 5

GeoDrink

  • Understanding

paZerns of alcohol use in communi1es

  • Infer loca1ons of

users’ homes and the exact 1me and place of drinking