Technology as Experience
Enterprise information mashups: integrating information, simply
VLDB '06 Proceedings of the 32nd international conference on Very large data bases
A survey of trust and reputation systems for online service provision
Decision Support Systems
A framework for rapid integration of presentation components
Proceedings of the 16th international conference on World Wide Web
Mining the search trails of surfing crowds: identifying relevant websites from user activity
Proceedings of the 17th international conference on World Wide Web
A "quick and dirty" website data quality indicator
Proceedings of the 2nd ACM workshop on Information credibility on the web
Professional credibility: authority on the web
Proceedings of the 2nd ACM workshop on Information credibility on the web
Exploring the facebook experience: a new approach to usability
Proceedings of the 5th Nordic conference on Human-computer interaction: building bridges
QoS Based Ranking for Web Search
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Methodologies for data quality assessment and improvement
ACM Computing Surveys (CSUR)
Credibility: A multidisciplinary framework
Annual Review of Information Science and Technology
WISDOM: a web information credibility analysis system
ACLDemos '09 Proceedings of the ACL-IJCNLP 2009 Software Demonstrations
On the Quality of Information for Web 2.0 Services
IEEE Internet Computing
Information credibility on twitter
Proceedings of the 20th international conference on World wide web
Ranking search results by web quality dimensions
Journal of Web Engineering
DashMash: a mashup environment for end user development
ICWE'11 Proceedings of the 11th international conference on Web engineering
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Current Web technologies enable an active role of users, who can create and share their contents very easily. This mass of information includes opinions about a variety of key interest topics and represents a new and invaluable source of marketing information. Public and private organizations that aim at understanding and analyzing this unsolicited feedback need adequate platforms that can support the detection and monitoring of key topics. Hence, there is an emerging trend towards automated market intelligence and the crafting of tools that allow monitoring in a mechanized fashion. We therefore present an approach that is based on quality of Web 2.0 sources as the key factor for information filtering and also allows the users to flexibly and easily compose their analysis environments thanks to the adoption of a mashup platform.