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  • Data is not objective, and is not neutral. (Noble, O’Neill)
  • Human motives influence the bias in the data. (Eviction Lab)
  • Readers might not be aware of these biases. (Simpson’s Paradox, Asimov)
  • Data needs to be looked at in context. (Klein, Klein and D’Ignazsio)
  • Lack of depth/context can lead to unintentional bias. (Eviction Lab, O’Grada and Guinnane)
  • In order for users to feel safe, they should understand how/where data is being collected. (Eviction Lab, Force 11)
  • Not enough people know that data is not your own. (Gabourey)
  • Verifying your data
  • Make sure your survey design is good (Eviction Lab)
  • Consent (What you Can’t and Shouldn’t do with social media)
  • It is not always clear what your audience is when using social media to collect data  (Gabourey, Klein, Healy)
  • Think about the financial incentives (Gabourey)
  • Publishing accurate statistics makes it possible to infer personal information (Healy)

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