How an Algorithm Learned to Identify Depressed Individuals by Studying Their Instagram Photos

Tagged: 3 Data & Info, 4 Algorithms, 7.1.2F Crowdsourcing, 7.2.1 Impact in other fields, 7.2.1A Data impact, 7.3.1 Benefits and harm, 7.3.1A Law and ethics, 7.3.1G Privacy, 7.3.1J Data collection, 7.4.1 Real-world contexts

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- August 31, 2016 at 6:57 am #1988
  
  Julia Bernd
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  MIT Technology Review, 8/19/2016
  
  Researchers have developed a machine-learning algorithm that achieves 70% recall in identifying depressed individuals by characteristics of their (pre-diagnosis) Instagram photo posts. This is a great example of a medical development with great potential for benefit (early diagnosis and treatment) that also raises serious concerns (privacy, misuse of the information, misprediction). It’s also an example of Mechanical Turk being used as a research platform.
  
  [See the full post at: How an Algorithm Learned to Identify Depressed Individuals by Studying Their Instagram Photos]
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