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Assimilate or Differentiate? Contributors' Choice of Subjects in User‐Generated Content.

Authors :
Ke, Zhihong
Liu, De
Gupta, Alok
Brass, Daniel Joseph
Source :
Decision Sciences; Oct2020, Vol. 51 Issue 5, p1265-1287, 23p, 3 Charts, 3 Graphs
Publication Year :
2020

Abstract

A key to the content diversity on user‐generated content platforms is what subject users choose to contribute on. This research investigates how two factors can shape contributors' subject choice decisions, namely, the amount of existing content and content contributed by online friends or "friend content." Our experimental findings show that both the amount of existing content and friend content can shape a contributor's subject choice decisions: ceteris paribus, contributors prefer subjects with less existing content and ones with friend content when the amount of existing content is the same. In addition, contributors' preference for subjects with friend content weakens as the amount of existing content on other subject's decreases. Our findings hold important implications for research and practice in user‐generated content platforms and beyond. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00117315
Volume :
51
Issue :
5
Database :
Complementary Index
Journal :
Decision Sciences
Publication Type :
Academic Journal
Accession number :
146429034
Full Text :
https://doi.org/10.1111/deci.12410