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Predicting the Popularity of Online Content.

Authors :
SZABO, GABOR
HUBERMAN, BERNARDO A.
Source :
Communications of the ACM. Aug2010, Vol. 53 Issue 8, p80-88. 9p. 1 Color Photograph, 1 Diagram, 1 Chart, 6 Graphs.
Publication Year :
2010

Abstract

The article presents methods for gauging and predicting the popularity of internet news stories and videos, drawing examples from the web sites Digg and YouTube. Evidence is presented that popularity prediction is possible because of definite regularities in the patterns of user attention, when internet users are focusing on content. In addition, early access patterns are said to provide key indicators of whether the content will hold its popularity. It is noted that groups such as web site administrators, online advertisers, and internet service providers all have a vested interest in becoming able to predict online content popularity accurately.

Details

Language :
English
ISSN :
00010782
Volume :
53
Issue :
8
Database :
Academic Search Index
Journal :
Communications of the ACM
Publication Type :
Periodical
Accession number :
52564185
Full Text :
https://doi.org/10.1145/1787234.1787254