Social Information Processing in News Aggregation

Author

Lerman, Kristina

Author_Institution

Univ. of Southern California, Los Angeles

Volume

11

Issue

6

fYear

2007

Firstpage

16

Lastpage

28

Abstract

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.

Keywords

Web sites; decision making; document handling; electronic publishing; groupware; information filters; social sciences computing; Digg functionality; Web transformation; collaborative document rating; decision making; document recommendation; mathematical modeling; social information processing; social media sites; social news aggregation; Blogs; Collaboration; Filtering; Information processing; Mathematical model; Social network services; Technological innovation; Voting; Web pages; Web search; Digg; document rating; document recommendation; social media; social search; user-generated content;

fLanguage

English

Journal_Title

Internet Computing, IEEE

Publisher

ieee

ISSN

1089-7801

Type

jour

DOI

10.1109/MIC.2007.136

Filename

4376224