The one to watch: Heuristic Determinants of Viewership among Influential Twitch Streamers
E. Mitchell Church ()
Additional contact information
E. Mitchell Church: Coastal Carolina University
Electronic Commerce Research, 2024, vol. 24, issue 3, No 12, 1795-1820
Abstract:
Abstract Twitch users watched over 1.2 billion hours of streaming video in a single month in 2020, with the vast majority of these hours devoted to videogames. The most popular streamers who create this content are often powerful influencers in a rapidly growing industry, and many industries now see videogame influencer marketing as a key aspect of their marketing mix. However, while some streamers have amassed incredible popularity on Twitch, the factors that drive live-streaming viewership remain poorly understood. This study empirically examines a large population of Twitch streamers to explore this existing gap in the current research and explain how potential viewers make the decision to patronize a Twitch streamer. Using panel data on the actions and characteristics of Twitch streamers combined with other sources, the study identifies the heuristic cues most associated with successful Twitch streamers. Ultimately, the study identifies and evaluates multiple heuristics around Twitch content delivery practices, with significant implications for any live-streaming context.
Keywords: Twitch; Live streaming; Influencer; Fast and frugal heuristics; Poisson Regression (search for similar items in EconPapers)
Date: 2024
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10660-022-09589-x Abstract (text/html)
Access to the full text of the articles in this series is restricted.
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:spr:elcore:v:24:y:2024:i:3:d:10.1007_s10660-022-09589-x
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10660
DOI: 10.1007/s10660-022-09589-x
Access Statistics for this article
Electronic Commerce Research is currently edited by James Westland
More articles in Electronic Commerce Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().