BALANCE: Enhancing diversity in news and opinion aggregators
Through this project, A UMSI team led by Professor of Information Paul Resnick has investigated and built diversity-aware news recommendation services to improve people's news reading experiences. One system, BALANCE, classifies news and opinion articles as conservative or liberal using data from social news aggregator Digg, which allows readers to vote for articles they like. The system combines the patterns of readers who voted that they “liked” certain articles and automatically classifies news and opinion articles as liberal or conservative.
Another recommendation service developed through this research project, ManyAngles, offers suggestions on a wide range of topics that include technology, health, business and other areas in order to give readers well-rounded viewpoints on a myriad of subjects. ManyAngles does not apply political or social labels, rather a computer algorithm is responsible for providing suggestions to stories that it thinks are written in different perspectives.
Start date: 7/1/2009
End date: 8/31/2014
III: Small: Optimizing News and Opinion Aggregators for Diversity, National Science Foundation: $515,312
REU Supplement: III: Small: Optimizing News and Opinion Aggregators for Diversity, National Science Foundation: $16,000
I-Corps: Diversity-aware News Recommendation, National Science Foundation: $50,000
The National Science Foundation (NSF) is an independent federal agency created by Congress in 1950 "to promote the progress of science; to advance the national health, prosperity, and welfare; to secure the national defense…"