Multivariate data analysis (4th ed.): with readings
Multivariate data analysis (4th ed.): with readings
Building and Evaluating Non-Obvious User Profiles for Visitors of Web Sites
CEC '04 Proceedings of the IEEE International Conference on E-Commerce Technology
News cues: Information scent and cognitive heuristics: Research Articles
Journal of the American Society for Information Science and Technology
Research on Innovation: A Review and Agenda for Marketing Science
Marketing Science
Factors relating to the decision to click on a sponsored link
Decision Support Systems
Creating User Profiles of Web Visitors Using Zones, Weights and Actions
CECANDEEE '08 Proceedings of the 2008 10th IEEE Conference on E-Commerce Technology and the Fifth IEEE Conference on Enterprise Computing, E-Commerce and E-Services
Resonance on the web: web dynamics and revisitation patterns
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A case study of behavior-driven conjoint analysis on Yahoo!: front page today module
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
An evidence-based iterative content trust algorithm for the credibility of online news
Concurrency and Computation: Practice & Experience
Reputation, framing strategies and user's choice of content on the Web: an empirical study
Concurrency and Computation: Practice & Experience
Concurrency and Computation: Practice & Experience
Extracting news blog hot topics based on the W2T Methodology
World Wide Web
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A Web user is exposed to a large number of information services available from different sources. Online news is offered combined with relevant service attributes such as pictures, small text, users' recommendations, etc. We previously investigated the Web user's choice of online news, focusing on the trade-offs between reputation and other service attributes, which may explain the user's choice of an unknown source, such as a blog. In the present study, we investigate the Web user's choice of online news in a multi-attribute context. Our findings indicate that the most important service attribute is the accompanying text, followed by the source's reputation, then the percentage of readers recommending or having read the link, and then the picture. We further explore the trade-offs between the attributes through simulations. These findings provide useful insights to practitioners on how to use the service attributes in the framing strategies in order to increase the probability of the choice of online news. Copyright © 2011 John Wiley & Sons, Ltd.