Metrics at Work: Journalism and the Contested Meaning of Algorithms

Monday, September 21, 2020. 1:00 pm
Event Sponsor(s)
Digital Civil Society Lab, the Program in Science, Technology, and Society, the John S. Knight Fellowship Program and the Department of Communication at Stanford University.
Location
Online-only event. Advance RSVP is required.
Metrics at Work: Journalism and the Contested Meaning of Algorithms
Speaker(s):
Angèle Christin, Assistant Professor of Communication and, by courtesy, of Sociology @Stanford University
 
Angèle Christin is an assistant professor in the Department of Communication and affiliated faculty in the Sociology Department and Program in Science, Technology, and Society at Stanford University. She studies how algorithms and analytics transform professional values, expertise, and work practices. Her book, Metrics at Work: Journalism and the Contested Meaning of Algorithms (Princeton University Press) focuses on the case of web journalism, analyzing the growing importance of audience data in web newsrooms in the U.S. and France. When the news moved online, journalists suddenly learned what their audiences actually liked through algorithmic technologies that scrutinize web traffic and activity. How have audience metrics changed journalists’ work practices and professional identities? In Metrics at Work, Angèle Christin analyzes the ways that journalists grapple with audience data in the form of clicks, and how new forms of clickbait journalism travel across national borders.
Panel Discussion featuring: 
  • Angèle Christin - Assistant Professor of Communication and, by courtesy, of Sociology at Stanford University

  • Meredith Broussard - New York University, Arthur L. Carter Journalism Institute

  • Stacy-Marie Ishmael - The Texas Tribune, formerly BuzzFeed News and Financial Times

  • Nikki Usher - University of Illinois, College of Media

 
Lecture Date: Wednesday, September 21

Lecture Time: 1:00pm PST - This is an online-only course, Advance Registration is required to attend.