Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Detecting web page structure for adaptive viewing on small form factor devices
WWW '03 Proceedings of the 12th international conference on World Wide Web
NewsInEssence: summarizing online news topics
Communications of the ACM - The digital society
He says, she says: conflict and coordination in Wikipedia
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
CollabSum: exploiting multiple document clustering for collaborative single document summarizations
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Analysis of News Agencies' Descriptive Features of People and Organizations
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
Aspect-level news browsing: understanding news events from multiple viewpoints
Proceedings of the 15th international conference on Intelligent user interfaces
Presenting diverse political opinions: how and how much
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The prayer companion: openness and specificity, materiality and spirituality
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Highlighting disputed claims on the web
Proceedings of the 19th international conference on World wide web
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Tangible anchoring: grasping news and public opinion
Proceedings of the 7th International Conference on Advances in Computer Entertainment Technology
Credibility-oriented ranking of multimedia news based on a material-opinion model
WAIM'11 Proceedings of the 12th international conference on Web-age information management
Supporting reflective public thought with considerit
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
A Computational Framework for Media Bias Mitigation
ACM Transactions on Interactive Intelligent Systems (TiiS)
CubeThat: news article recommender
Proceedings of the sixth ACM conference on Recommender systems
The promise and peril of real-time corrections to political misperceptions
Proceedings of the 2013 conference on Computer supported cooperative work
Bursting your (filter) bubble: strategies for promoting diverse exposure
Proceedings of the 2013 conference on Computer supported cooperative work companion
Challenges and opportunities of local journalism: a case study of the 2012 Korean general election
Proceedings of the 5th Annual ACM Web Science Conference
Does clustered presentation lead readers to diverse selections?
CHI '13 Extended Abstracts on Human Factors in Computing Systems
Echo: the editor's wisdom with the elegance of a magazine
Proceedings of the 5th ACM SIGCHI symposium on Engineering interactive computing systems
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Political blend: an application designed to bring people together based on political differences
Proceedings of the 6th International Conference on Communities and Technologies
Fragmented social media: a look into selective exposure to political news
Proceedings of the 22nd international conference on World Wide Web companion
Integrating on-demand fact-checking with public dialogue
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Can you hear me now?: mitigating the echo chamber effect by source position indicators
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
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The bias in the news media is an inherent flaw of the news production process. The resulting bias often causes a sharp increase in political polarization and in the cost of conflict on social issues such as Iraq war. It is very difficult, if not impossible, for readers to have penetrating views on realities against such bias. This paper presents NewsCube, a novel Internet news service aiming at mitigating the effect of media bias. NewsCube automatically creates and promptly provides readers with multiple classified viewpoints on a news event of interest. As such, it effectively helps readers understand a fact from a plural of viewpoints and formulate their own, more balanced viewpoints. While media bias problem has been studied extensively in communications and social sciences, our work is the first to develop a news service as a solution and study its effect. We discuss the effect of the service through various user studies.