Structuring computer-mediated communication systems to avoid information overload
Communications of the ACM
Using collaborative filtering to weave an information tapestry
Communications of the ACM - Special issue on information filtering
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Communications of the ACM - Supporting community and building social capital
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Centroid-based summarization of multiple documents
Information Processing and Management: an International Journal
Automatically predicting information quality in news documents
NAACL-Short '03 Proceedings of the 2003 Conference of the North American Chapter of the Association for Computational Linguistics on Human Language Technology: companion volume of the Proceedings of HLT-NAACL 2003--short papers - Volume 2
Motivating participation by displaying the value of contribution
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Utility scoring of product reviews
CIKM '06 Proceedings of the 15th ACM international conference on Information and knowledge management
Beyond accuracy: what data quality means to data consumers
Journal of Management Information Systems
Follow the reader: filtering comments on slashdot
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing novel review ranking systems: predicting the usefulness and impact of reviews
Proceedings of the ninth international conference on Electronic commerce
Conversation Map: An Interface for Very Large-Scale Conversations
Journal of Management Information Systems
Competition Among Virtual Communities and User Valuation: The Case of Investing-Related Communities
Information Systems Research
Proceedings of the 2010 ACM conference on Computer supported cooperative work
MetAgora: a meta-community approach to guide users through the diversity of web communities
CHI '10 Extended Abstracts on Human Factors in Computing Systems
SMUC '10 Proceedings of the 2nd international workshop on Search and mining user-generated contents
Towards quality discourse in online news comments
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Analyzing Online Review Helpfulness Using a Regressional ReliefF-Enhanced Text Mining Method
ACM Transactions on Management Information Systems (TMIS)
Journal of Computer-Mediated Communication
Identifying helpful online reviews: A product designer's perspective
Computer-Aided Design
Have you done anything like that?: predicting performance using inter-category reputation
Proceedings of the sixth ACM international conference on Web search and data mining
A study of manipulative and authentic negative reviews
Proceedings of the 8th International Conference on Ubiquitous Information Management and Communication
Content or context: Which matters more in information processing on microblogging sites
Computers in Human Behavior
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Online communities displaying textual postings require measures to combat information overload. One popular approach is to ask participants whether or not messages are helpful in order to then guide others to interesting content. Adopting a well-established framework for assessing data quality, we examine the nature of "helpfulness."We study consumer reviews at Amazon.com, deriving 22 measures quantifying their textual properties, authors' reputations and product characteristics. Confirmatory factor analysis reveals five underlying quality dimensions representing reviewers' reputations in the community, the topical relevancy of the reviews, the ease of understanding them, their believability and objectivity. A correlation and regression analysis confirms that these dimensions are related to the helpfulness scores assigned by community participants. However, it also uncovers a strong relationship between the chronological ordering of reviews and helpfulness, which both community participants and designers should keep in mind when using this method of social navigation.