Social Information Processing in News Aggregation

Social Information Processing in News Aggregation

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 aggregat...

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Veröffentlicht in:IEEE internet computing 2007-11, Vol.11 (6), p.16-28
1. Verfasser: Lerman, K.
Format: Artikel
Sprache:eng
Schlagworte:
Agglomeration
Blogs
Collaboration
Decisions
Digg
document rating
document recommendation
Filtering
Information processing
Internet
Mathematical model
Mathematical models
Media
News
Ratings
social media
Social network services
social search
Technological innovation
Transformations
user-generated content
Voting
Web pages
Web search
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Beschreibung
Zusammenfassung: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 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.
ISSN:1089-7801
1941-0131
DOI:10.1109/MIC.2007.136