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Episode 15 - Angèle Christin: Researching Influencers and Social Media Platforms

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Manage episode 361849806 series 2464710
Inhoud geleverd door Ethnography Atelier. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Ethnography Atelier of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
In this episode, we talk with Angèle Christin about the challenges and opportunities of studying influencers and social media platforms. The context for this conversation is her latest research, a digital ethnography for a new book on the algorithmic labor of influencers and influencer marketing on YouTube, Instagram, and TikTok. The conversation is packed with insights on gaining access to a phenomenon that happens online in private spaces (including a story on how Angèle became an influencer herself); the promises of designing research on niches or fields in the social media space; and practical reflections on how to make ethnography “the art of the possible.”
Angèle Christin is an assistant professor in the Department of Communication and affiliated faculty in the Sociology Department, the Program in Science, Technology, and Society, and the Center for Work, Technology, and Organization at Stanford University. She studies how algorithms and analytics transform professional values, expertise, and work practices.


Further information:
  • Christin, A., and Y. Lu. Forthcoming. “The Influencer Pay Gap: Platform Labor Meets Racial Capitalism.” New Media & Society.
  • Christin, A. 2020. “The Ethnographer and the Algorithm: Beyond the Black Box.” Theory & Society. 49(5-6): 897-918.
  • Kellogg, K.C, M.A. Valentine, and A. Christin. 2020. “Algorithms at Work: The New Contested Terrain of Control.” Academy of Management Annals 14(1): 366-410.
  • Christin, A. 2020. Metrics at Work: Journalism and the Contested Meaning of Algorithms. Princeton University Press.
  continue reading

20 afleveringen

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iconDelen
 
Manage episode 361849806 series 2464710
Inhoud geleverd door Ethnography Atelier. Alle podcastinhoud, inclusief afleveringen, afbeeldingen en podcastbeschrijvingen, wordt rechtstreeks geüpload en geleverd door Ethnography Atelier of hun podcastplatformpartner. Als u denkt dat iemand uw auteursrechtelijk beschermde werk zonder uw toestemming gebruikt, kunt u het hier beschreven proces https://nl.player.fm/legal volgen.
In this episode, we talk with Angèle Christin about the challenges and opportunities of studying influencers and social media platforms. The context for this conversation is her latest research, a digital ethnography for a new book on the algorithmic labor of influencers and influencer marketing on YouTube, Instagram, and TikTok. The conversation is packed with insights on gaining access to a phenomenon that happens online in private spaces (including a story on how Angèle became an influencer herself); the promises of designing research on niches or fields in the social media space; and practical reflections on how to make ethnography “the art of the possible.”
Angèle Christin is an assistant professor in the Department of Communication and affiliated faculty in the Sociology Department, the Program in Science, Technology, and Society, and the Center for Work, Technology, and Organization at Stanford University. She studies how algorithms and analytics transform professional values, expertise, and work practices.


Further information:
  • Christin, A., and Y. Lu. Forthcoming. “The Influencer Pay Gap: Platform Labor Meets Racial Capitalism.” New Media & Society.
  • Christin, A. 2020. “The Ethnographer and the Algorithm: Beyond the Black Box.” Theory & Society. 49(5-6): 897-918.
  • Kellogg, K.C, M.A. Valentine, and A. Christin. 2020. “Algorithms at Work: The New Contested Terrain of Control.” Academy of Management Annals 14(1): 366-410.
  • Christin, A. 2020. Metrics at Work: Journalism and the Contested Meaning of Algorithms. Princeton University Press.
  continue reading

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