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Digital Advertising Data for
Migration Research
Ingmar Weber
@ingmarweber
June 25, 2019
International Metropolis Conference 2019
Or How I learned to Love Online Advertising
The Distinguished Speakers Program
is made possible by
For additional information, please visit http://dsp.acm.org/
About ACM
 ACM, the Association for Computing Machinery (www.acm.org), is the
premier global community of computing professionals and students
with nearly 100,000 members in more than 170 countries interacting
with more than 2 million computing professionals worldwide.
 OUR MISSION: We help computing professionals to be their best and
most creative. We connect them to their peers, to what the latest
developments, and inspire them to advance the profession and make a
positive impact on society.
 OUR VISION: We see a world where computing helps solve tomorrow’s
problems – where we use our knowledge and skills to advance the
computing profession and make a positive social impact throughout the
world.
 I am proud to be an ACM Member.
Facebook’s Audience Estimates
Facebook’s Audience Estimates
LinkedIn’s Audience Estimates
LinkedIn’s Audience Estimates
http://fb-doha.qcri.org/
Quick-n-Dirty Urban Census
FB Users who used to live
in W Europe or N America
Gender balanced
Well educated
Fairly old
High end devices
Luxury areas
Quick-n-Dirty Urban Census
http://fb-doha.qcri.org/
FB Users who used to live
in Nepal
Mostly men
Lots “unspecified”
Fairly young
Low end devices
Industrial area
http://fb-nyc.qcri.org/
Quick-n-Dirty Urban Census
FB Users who used to live
in Latin America
MIGRATION MONITORING
Expats Across US States
2014
2017
Expats Across Countries
2015
2017
regression line
Age-Specific Selection Biases
Bias Reduction via Model-Fitting
Mean out-of-sample absolute percentage error 37%,
down from 56% without origin-age bias correction
Adjusted R^2 = .70
Does not use GDP, language, internet penetration, …
z = age-gender group
i = country of birth
j = US state of residence
QUANTIFYING MIGRANT
ASSIMILATION
Do Refugees Share German Interests?
What interests to consider? Everybody likes “Music” and “Technology”.
How to interpret the score? High/low compared to European migrants?
Germans in DEU
FB Interests:
Football (90%)
Max Planck (70%)
Sauerkraut (40%)
…
Arabs in MENA
FB Interests:
Quran (80%)
Ibn Al-Haytham (60%)
Falafel (60%)
…
Arabs in DEU
FB Interests:
?
Do Refugees Share German Interests?
What interests to consider? Everybody likes “Music” and “Technology”.
How to interpret the score? High/low compared to European migrants?
Germans in DEU
FB Interests:
Football (90%)
Max Planck (70%)
Sauerkraut (40%)
…
Arabs in MENA
FB Interests:
Quran (80%)
Ibn Al-Haytham (60%)
Falafel (60%)
…
Arabs in DEU
FB Interests:
?
Obtaining an Assimilation Score
Migrant Group Assim. Score
Austrian migrants .900
Spanish migrants .864
French migrants .803
Turkish-speaking migrants .746
Arabic-speaking migrants .643
A: Women, non-uni, 45-64 .461
A: Men, uni, 18-24 .677
• Experimental methodology: take with a ton, not just a grain of salt
• Needs to be validated externally
• Goals include finding “bridging” interests/patterns
THE VENEZUELAN EXODUS
Trends across time
Trends across space
Socio-economic insights
Report Hosted on “R4V: Operational Portal Refugee Situations”
Trends across time
Trends across space
Socio-economic insights
Report Hosted on “R4V: Operational Portal Refugee Situations”
HIGH-SKILLED MIGRATION IN
EUROPE
Studied in X, Lives in Y
• Compile a list of all universities for European
countries
• Query number of LinkedIn users who studied
in country X who now live in country Y
• Disaggregate by gender, age, industry, …
All age groups
55+
18-24
LIMITATIONS AND CHALLENGES
Strengths and Weaknesses
+ Facebook, LinkedIn, Twitter, Snapchat, Google, ...
+ Real-time estimates
+ Uses anonymous and aggregate data
+ Gender, age, location, country of origin, ….
- Black box on how attributes are inferred
- Needs modeling for bias correction
- Usage patterns and black box change over time
- No historic data available
- Risk of group-level misuse
Thanks!
iweber@hbku.edu.qa
References and full texts: https://ingmarweber.de/publications/

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Digital advertising data for migration research

  • 1. Digital Advertising Data for Migration Research Ingmar Weber @ingmarweber June 25, 2019 International Metropolis Conference 2019 Or How I learned to Love Online Advertising
  • 2. The Distinguished Speakers Program is made possible by For additional information, please visit http://dsp.acm.org/
  • 3. About ACM  ACM, the Association for Computing Machinery (www.acm.org), is the premier global community of computing professionals and students with nearly 100,000 members in more than 170 countries interacting with more than 2 million computing professionals worldwide.  OUR MISSION: We help computing professionals to be their best and most creative. We connect them to their peers, to what the latest developments, and inspire them to advance the profession and make a positive impact on society.  OUR VISION: We see a world where computing helps solve tomorrow’s problems – where we use our knowledge and skills to advance the computing profession and make a positive social impact throughout the world.  I am proud to be an ACM Member.
  • 8. http://fb-doha.qcri.org/ Quick-n-Dirty Urban Census FB Users who used to live in W Europe or N America Gender balanced Well educated Fairly old High end devices Luxury areas
  • 9. Quick-n-Dirty Urban Census http://fb-doha.qcri.org/ FB Users who used to live in Nepal Mostly men Lots “unspecified” Fairly young Low end devices Industrial area
  • 10. http://fb-nyc.qcri.org/ Quick-n-Dirty Urban Census FB Users who used to live in Latin America
  • 12. Expats Across US States 2014 2017
  • 15. Bias Reduction via Model-Fitting Mean out-of-sample absolute percentage error 37%, down from 56% without origin-age bias correction Adjusted R^2 = .70 Does not use GDP, language, internet penetration, … z = age-gender group i = country of birth j = US state of residence
  • 17. Do Refugees Share German Interests? What interests to consider? Everybody likes “Music” and “Technology”. How to interpret the score? High/low compared to European migrants? Germans in DEU FB Interests: Football (90%) Max Planck (70%) Sauerkraut (40%) … Arabs in MENA FB Interests: Quran (80%) Ibn Al-Haytham (60%) Falafel (60%) … Arabs in DEU FB Interests: ?
  • 18. Do Refugees Share German Interests? What interests to consider? Everybody likes “Music” and “Technology”. How to interpret the score? High/low compared to European migrants? Germans in DEU FB Interests: Football (90%) Max Planck (70%) Sauerkraut (40%) … Arabs in MENA FB Interests: Quran (80%) Ibn Al-Haytham (60%) Falafel (60%) … Arabs in DEU FB Interests: ?
  • 19. Obtaining an Assimilation Score Migrant Group Assim. Score Austrian migrants .900 Spanish migrants .864 French migrants .803 Turkish-speaking migrants .746 Arabic-speaking migrants .643 A: Women, non-uni, 45-64 .461 A: Men, uni, 18-24 .677 • Experimental methodology: take with a ton, not just a grain of salt • Needs to be validated externally • Goals include finding “bridging” interests/patterns
  • 21. Trends across time Trends across space Socio-economic insights Report Hosted on “R4V: Operational Portal Refugee Situations”
  • 22. Trends across time Trends across space Socio-economic insights Report Hosted on “R4V: Operational Portal Refugee Situations”
  • 24. Studied in X, Lives in Y • Compile a list of all universities for European countries • Query number of LinkedIn users who studied in country X who now live in country Y • Disaggregate by gender, age, industry, …
  • 26. 55+
  • 27. 18-24
  • 29. Strengths and Weaknesses + Facebook, LinkedIn, Twitter, Snapchat, Google, ... + Real-time estimates + Uses anonymous and aggregate data + Gender, age, location, country of origin, …. - Black box on how attributes are inferred - Needs modeling for bias correction - Usage patterns and black box change over time - No historic data available - Risk of group-level misuse
  • 30. Thanks! iweber@hbku.edu.qa References and full texts: https://ingmarweber.de/publications/