EconPapers    
Economics at your fingertips  
 

Going Viral, Binge-Watching, and Attention Cannibalism

Scott D. Grimshaw, Natalie J. Blades and Candace Berrett

The American Statistician, 2020, vol. 74, issue 4, 380-391

Abstract: Binge-watching behavior is modeled for a single season of an original program from a streaming service to understand and make predictions about how individuals watch newly released content. Viewers make two choices in binge watching. First, the onset when individuals begin viewing the program is modeled using a change point between epidemic viewing with a nonconstant hazard rate and endemic viewing with a constant hazard rate. Second, the time it takes for individuals to complete the full season is modeled using an expanded negative binomial hurdle model to account for both binge racers (who watch all episodes in a single day) and other viewers. With the rapid increase in original content for streaming services, network executives are interested in the decision of simultaneously releasing multiple original programs or staggering premiere dates. The two model results are used to investigate competing risks to determine how the amount of time between premieres impacts attention cannibalism, when a viewer takes a long time watching their first choice program and consequently never watches the second program.

Date: 2020
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/00031305.2020.1774415 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:amstat:v:74:y:2020:i:4:p:380-391

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/UTAS20

DOI: 10.1080/00031305.2020.1774415

Access Statistics for this article

The American Statistician is currently edited by Eric Sampson

More articles in The American Statistician from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().

 
Page updated 2025-03-20
Handle: RePEc:taf:amstat:v:74:y:2020:i:4:p:380-391