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John Danaher에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 John Danaher 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.
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Episode #53 – Christin on How Algorithms Actually Impact Workers

 
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Manage episode 227555219 series 1328245
John Danaher에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 John Danaher 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Angele Christin

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.

You can download the episode here or listen below. You can also subscribe to the show on iTunes or Stitcher (the RSS feed is here).

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?

Relevant Links

  continue reading

64 에피소드

Artwork
icon공유
 
Manage episode 227555219 series 1328245
John Danaher에서 제공하는 콘텐츠입니다. 에피소드, 그래픽, 팟캐스트 설명을 포함한 모든 팟캐스트 콘텐츠는 John Danaher 또는 해당 팟캐스트 플랫폼 파트너가 직접 업로드하고 제공합니다. 누군가가 귀하의 허락 없이 귀하의 저작물을 사용하고 있다고 생각되는 경우 여기에 설명된 절차를 따르실 수 있습니다 https://ko.player.fm/legal.

Angele Christin

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.

You can download the episode here or listen below. You can also subscribe to the show on iTunes or Stitcher (the RSS feed is here).

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?

Relevant Links

  continue reading

64 에피소드

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