Mining the peanut gallery: opinion extraction and semantic classification of product reviews
WWW '03 Proceedings of the 12th international conference on World Wide Web
Mining and summarizing customer reviews
Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining
Self-selection, slipping, salvaging, slacking, and stoning: the impacts of negative feedback at eBay
Proceedings of the 6th ACM conference on Electronic commerce
Proceedings of the 2005 ACM SIGCOMM workshop on Economics of peer-to-peer systems
Thumbs up?: sentiment classification using machine learning techniques
EMNLP '02 Proceedings of the ACL-02 conference on Empirical methods in natural language processing - Volume 10
EC '06 Proceedings of the 7th ACM conference on Electronic commerce
Extracting product features and opinions from reviews
HLT '05 Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing
Comparative experiments on sentiment classification for online product reviews
AAAI'06 proceedings of the 21st national conference on Artificial intelligence - Volume 2
Mechanisms for making crowds truthful
Journal of Artificial Intelligence Research
Specialized Review Selection for Feature Rating Estimation
WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Reporting incentives and biases in online review forums
ACM Transactions on the Web (TWEB)
Scoring products from reviews through application of fuzzy techniques
Expert Systems with Applications: An International Journal
A formal approach to investigate the performance of modern e-commerce services
ASMTA'10 Proceedings of the 17th international conference on Analytical and stochastic modeling techniques and applications
Spiral of hatred: social effects in Internet auctions. Between informativity and emotion
Electronic Commerce Research
Synthesis of performance management mechanisms in modern e-commerce services
Proceedings of the 12th International Conference on Information Integration and Web-based Applications & Services
User reputation in a comment rating environment
Proceedings of the 17th ACM SIGKDD international conference on Knowledge discovery and data mining
A Social-Feedback Enriched Interface for Software Download
Journal of Organizational and End User Computing
Recommending additional study materials: binary ratings vis-à-vis five-star ratings
BCS-HCI '13 Proceedings of the 27th International BCS Human Computer Interaction Conference
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Online reviews have become increasingly popular as a way to judge the quality of various products and services. Previous work has demonstrated that contradictory reporting and underlying user biases make judging the true worth of a service difficult. In this paper, we investigate underlying factors that influence user behavior when reporting feedback. We look at two sources of information besides numerical ratings: linguistic evidence from the textual comment accompanying a review, and patterns in the time sequence of reports. We first show that groups of users who amply discuss a certain feature are more likely to agree on a common rating for that feature. Second, we show that a user's rating partly reflects the difference between true quality and prior expectation of quality as inferred from previous reviews. Both give us a less noisy way to produce rating estimates and reveal the reasons behind user bias.Our hypotheses were validated by statistical evidence from hotel reviews on the TripAdvisor website.