Social Spaces on the Internet: social ( signals + media )
Bias in Social Media
1. Latanya Sweeny. Discrimination in Online Ad Delivery. Available at SSRN: https://ssrn.com/abstract=2208240.
2. Hannak, Soeller, Lazer, Mislove, and Wilson. Peeking Beneath the Hood of Uber. IMC 15.
3. Benjamin Edelman, Michael Luca, and an Svirsky. Racial Discrimination in the Sharing Economy: Evidence from a Field Experiment. American Economic Journal: Applied Economics. Forthcoming.
Consider online communities that you frequent. Choose three
online communities that have the potential for bias in some form.
Describe how this manifests itself in the output.
(Possible example online communities: Amazon, Ebay, Twitter, Facebook, Airbnb, Uber, etc.)
2. Choose one of the above sites you describe in (1) and describe how you would set up an experiement to detect this bias?
- To do this, define what you are
assing for bias: e.g., I want to see if people from Chicago
receive more adds about Ford than people from other big cities.
- Describe how you will create a
sample. In (a), you might set up sock puppets (accounts with diverse identity profiles), crowdsource people
from different cities,etc.
- Discuss how
large your sample size should be to make a reasonable assessment.
- Then describe how you will make sense of the data you receive.
Note: You do not have to implement this. The task is to design the methodology.
Responses shoudl be submitted via compass in PDF form.
Late responses will not be accepted.
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