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Art & Algorithms

Is Big Data Killing Creativity?

Michael D. Smith & Rahul Telang, Carnegie Mellon UniversityFebruary 1, 2018July 9, 2020
Sections
  • Business
  • Society
  • Technology
Topics
  • Algorithms
  • Amazon
  • Big Data
  • Digital Media
  • Entertainment
  • Netflix
  • Silicon Valley
  • Television

Nearly five years ago, a show that followed the lives of inmates in a women’s prison shook up television. Orange Is the New Black became an unexpected hit, helping to put Netflix on the map as a creator of innovative original entertainment. The show pushed boundaries with its dark humor and diverse cast, becoming Netflix’s most-watched original series. Uzo Aduba has won two Emmys for her nuanced, empathetic portrayal of a black lesbian woman struggling with mental illness, a character rarely seen on mainstream television.

Orange Is the New Black isn’t just great television — it’s also an example of data-driven creativity in action.1 With the recent explosion of shows produced by Silicon Valley companies like Amazon, Hulu, and Netflix comes a fear that entertainment will increasingly be shaped by analysts crunching numbers rather than creatives following their artistic vision. Five years in, Netflix’s foray into original content demonstrates that what’s happened is actually the opposite: Data-driven platforms are giving high-quality, innovative entertainment a place to shine. Why? Because they can connect content and audiences in ways that broadcasters never could…

This article was produced by Footnote in partnership with Carnegie Mellon University and was published in Harvard Business Review. Please visit HBR’s website to read the full the article.

Related


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  3. How the DOJ’s Attempt to Block the AT&T-Time Warner Merger Could Backfire

Endnotes

  1. Many of the arguments made in this article reflect ideas explored in greater depth the authors recent book, Streaming, Sharing, Stealing: Big Data and the Future of Entertainment (MIT Press, 2016).

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Contributed by

Michael D. Smith

Michael D. Smith

Professor of Information Systems and Marketing, Heinz College
Carnegie Mellon University

Michael D. Smith is a Professor of Information Systems and Marketing and the Co-Director of IDEA, the Initiative for Digital Entertainment Analytics, at Carnegie Mellon University’s Heinz College. He received a Ph.D. in Management Science from the Sloan School of Management at MIT. Professor Smith’s research uses economic and statistical techniques to analyze firm and consumer behavior in online markets — specifically markets for digital information and digital media products. He is the coauthor of the book Streaming, Sharing, Stealing: Big Data and the Future of Entertainment (MIT Press, 2016).

Rahul Telang

Rahul Telang

Professor of Information Systems and Management, Heinz College
Carnegie Mellon University

Rahul Telang is a Professor of Information Systems and Management and the Co-Director of IDEA, the Initiative for Digital Entertainment Analytics, at Carnegie Mellon University’s Heinz College. Professor Telang’s research is broadly interested in how information and communication technologies (ICTs) and associated digitization of information impact consumers, business, and policy. He is the coauthor of the book Streaming, Sharing, Stealing: Big Data and the Future of Entertainment (MIT Press, 2016). Dr. Telang received a Ph.D. in Industrial Administration (Information Systems) from the Tepper School of Business at Carnegie Mellon.

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