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Introduction

Angèle Christin

in Metrics at Work: Journalism and the Contested Meaning of Algorithms

Published in print:
2020
Published Online:
January 2021
ISBN:
9780691175232
eISBN:
9780691200002
Item type:
chapter
Publisher:
Princeton University Press
DOI:
10.23943/princeton/9780691175232.003.0001
Subject:
Society and Culture, Media Studies

This chapter examines how the multiplication of digital metrics, analytics, and algorithms is reconfiguring work practices and professional identities. It focuses on the case of journalism, a field ... More


From Circulation Numbers to Web Analytics: Journalists and Their Readers in the United States and France

Angèle Christin

in Metrics at Work: Journalism and the Contested Meaning of Algorithms

Published in print:
2020
Published Online:
January 2021
ISBN:
9780691175232
eISBN:
9780691200002
Item type:
chapter
Publisher:
Princeton University Press
DOI:
10.23943/princeton/9780691175232.003.0002
Subject:
Society and Culture, Media Studies

This chapter provides the structural and historical background for the analysis of web analytics. It traces the distinct relationships and quantitative modes of representation that developed between ... More


Conclusion

Angèle Christin

in Metrics at Work: Journalism and the Contested Meaning of Algorithms

Published in print:
2020
Published Online:
January 2021
ISBN:
9780691175232
eISBN:
9780691200002
Item type:
chapter
Publisher:
Princeton University Press
DOI:
10.23943/princeton/9780691175232.003.0008
Subject:
Society and Culture, Media Studies

This chapter explores the implications of web analytics for further studies of digital metrics beyond the case of journalism. At a time when nearly every domain is affected by analytics and ... More


Machine Learning

James H. Faghmous

in Systems Science and Population Health

Published in print:
2017
Published Online:
March 2017
ISBN:
9780190492397
eISBN:
9780190492427
Item type:
chapter
Publisher:
Oxford University Press
DOI:
10.1093/acprof:oso/9780190492397.003.0011
Subject:
Public Health and Epidemiology, Epidemiology, Public Health

This chapter introduces non-computational scientists to the general field of machine learning and its methods. The chapter begins by outlining the common structure of machine learning applications, ... More


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