Web information analysis for open-domain decision support: system design and user evaluation

Authors:
Takuya Kawada;Susumu Akamine;Daisuke Kawahara;Yoshikiyo Kato;Yutaka I. Leon-Suematsu;Kentaro Inui;Sadao Kurohashi;Yutaka Kidawara
Affiliations:
National Institute of Information and Communications Technology;National Institute of Information and Communications Technology and Nara Institute of Science and Technology;Kyoto University and National Institute of Information and Communications Technology;National Institute of Information and Communications Technology;National Institute of Information and Communications Technology;Tohoku University and National Institute of Information and Communications Technology;Kyoto University and National Institute of Information and Communications Technology;National Institute of Information and Communications Technology
Venue:
Proceedings of the 2011 Joint WICOW/AIRWeb Workshop on Web Quality
Year:
2011

Citing 10
Cited 0

Scatter/Gather: a cluster-based approach to browsing large document collections

SIGIR '92 Proceedings of the 15th annual international ACM SIGIR conference on Research and development in information retrieval
What makes Web sites credible?: a report on a large quantitative study

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The New Science of Management Decision

The New Science of Management Decision
A taxonomy of web search

ACM SIGIR Forum
Trust and mistrust of online health sites

Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
A personalized search engine based on web-snippet hierarchical clustering

WWW '05 Special interest tracks and posters of the 14th international conference on World Wide Web
Exploratory search: from finding to understanding

Communications of the ACM - Supporting exploratory search
Identifying Information Sender Configuration of Web Pages

WI-IAT '09 Proceedings of the 2009 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Highlighting disputed claims on the web

Proceedings of the 19th international conference on World wide web
Dependency tree-based sentiment classification using CRFs with hidden variables

HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

In this paper, we investigate the effectiveness of the system design of a Web information analysis for open-domain decision support. In order to make decisions, it is required to collect and compare information from various view points. In case of making decisions based on Web information, however, it is difficult to obtain diverse information from variety of sources by using current search engines. Based on this observation, we design a system for supporting open-domain decision making, which analyzes Web information. Among the major design decisions are to focus on two elements, i.e. identifying the source of information and the extraction of informative content, and to organize the two elements so that the user can quickly grasp who is saying what on the Web. The assumption behind such decisions is that information organized in such a way would facilitate proper judgments in the user's decision making process. We conduct users evaluation to verify the effectiveness of our approach. In the result, it is confirmed that our system is superior to current search engine for grasping organized information from different stance of senders and supports the process of decision making, by (i) uncovering biases, (ii) showing various opinions from multiple view points, (iii) revealing information sources.