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Social Information Processing in News Aggregation
November/December 2007 (vol. 11 no. 6)
pp. 16-28
ASCII Text
x 
 
Kristina Lerman, "Social Information Processing in News Aggregation," IEEE Internet Computing, vol. 11, no. 6, pp. 16-28, November/December, 2007.
 
 
BibTex
x
 
@article{ 10.1109/MIC.2007.136,
author = {Kristina Lerman},
title = {Social Information Processing in News Aggregation},
journal ={IEEE Internet Computing},
volume = {11},
number = {6},
issn = {1089-7801},
year = {2007},
pages = {16-28},
doi = {http://doi.ieeecomputersociety.org/10.1109/MIC.2007.136},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - MGZN
JO - IEEE Internet Computing
TI - Social Information Processing in News Aggregation
IS - 6
SN - 1089-7801
SP16
EP28
EPD - 16-28
A1 - Kristina Lerman,
PY - 2007
KW - social media
KW - social search
KW - Digg
KW - user-generated content
KW - document recommendation
KW - document rating
VL - 11
JA - IEEE Internet Computing
ER -
 
Kristina Lerman, University of Southern California
Social media sites underscore the Web's transformation to a participatory medium in which users collaboratively create, evaluate, and distribute information. Innovations in social media have led to social information processing, a new paradigm for interacting with data. The social news aggregator Digg exploits social information processing for the purpose of document recommendation and rating. Additionally, via mathematical modeling it's possible to describe how collaborative document rating emerges from the independent decisions users make. Using such a model, the author reproduces observed ratings that actual stories on Digg have received.

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Index Terms:
social media, social search, Digg, user-generated content, document recommendation, document rating
Citation:
Kristina Lerman, "Social Information Processing in News Aggregation," IEEE Internet Computing, vol. 11, no. 6, pp. 16-28, Nov.-Dec. 2007, doi:10.1109/MIC.2007.136
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