Episode #53 - Christin on How Algorithms Actually Impact Workers

 
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In this episode I talk to Angèle Christin. Angèle is an assistant professor in the Department of Communication at Stanford University, where she is also affiliated with the Sociology Department and Program in Science, Technology, and Society. Her research focuses on how algorithms and analytics transform professional values, expertise, and work practices. She is currently working on a book on the use of audience metrics in web journalism and a project on the use of risk assessment algorithms in criminal justice. We talk about both.
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Show Notes

  • 0:00 - Introduction
  • 1:30 - What's missing from the current debate about algorithmic governance? What does Angèle's ethnographic perspective add?
  • 5:10 - How does ethnography work? What does an ethnographer do?
  • 8:30 - What are the limitations of ethnographic studies?
  • 12:33 - Why did Angèle focus on the use of algorithms in criminal justice and web journalism?
  • 23:06 - What were Angèle's two key research findings? Decoupling and Buffering
  • 24:40 - What is 'decoupling' and how does it happen?
  • 30:00 - Different attitudes to algorithmic tools in the US and France (French journalists, perhaps surprisingly, more obsessed with real time analytics than their American counterparts)
  • 39:20 - What explains the ambivalent attitude to metrics in different professions?
  • 44:42 - What is 'buffering' and how does it arise?
  • 54:30 - How people who worry about algorithms might misunderstand the practical realities of criminal justice
  • 57:47 - Does the resistance/acceptance of an algorithmic tool depend on the nature of the tool and the nature of the workplace? What might the relevant variables be?

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