Abstract
The World Wide Web contains wide variety of news reports, arguments, opinions, etc. that vary widely in quality. People judge the credibility of information on the Web for decision making in daily life. At present, while the quantity of information on the Web is explosively increasing, it is necessary to develop a system that supports such judgments. We have been developing an information credibility analysis system, WISDOM that considers the viewpoints of information contents, information senders, and information appearances. In this paper, as a viewpoint of information contents, we propose a method for providing a bird's eye view of major statements on a given topic and their contradictions. We evaluate the obtained statements in our experiments, and confirm the effectiveness of our approach. Furthermore, we discuss our future objectives.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 |
| Pages | 393-397 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - Dec 1 2008 |
| Event | 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 - Sydney, NSW, Australia Duration: Dec 9 2008 → Dec 12 2008 |
Other
| Other | 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008 |
|---|---|
| Country | Australia |
| City | Sydney, NSW |
| Period | 12/9/08 → 12/12/08 |
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All Science Journal Classification (ASJC) codes
- Computer Networks and Communications
- Computer Science Applications
- Electrical and Electronic Engineering
Cite this
Grasping major statements and their contradictions toward information credibility analysis of web contents. / Kawahara, Daisuke; Kurohashi, Sadao; Inui, Kentaro.
Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008. 2008. p. 393-397 4740480.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Grasping major statements and their contradictions toward information credibility analysis of web contents
AU - Kawahara, Daisuke
AU - Kurohashi, Sadao
AU - Inui, Kentaro
PY - 2008/12/1
Y1 - 2008/12/1
N2 - The World Wide Web contains wide variety of news reports, arguments, opinions, etc. that vary widely in quality. People judge the credibility of information on the Web for decision making in daily life. At present, while the quantity of information on the Web is explosively increasing, it is necessary to develop a system that supports such judgments. We have been developing an information credibility analysis system, WISDOM that considers the viewpoints of information contents, information senders, and information appearances. In this paper, as a viewpoint of information contents, we propose a method for providing a bird's eye view of major statements on a given topic and their contradictions. We evaluate the obtained statements in our experiments, and confirm the effectiveness of our approach. Furthermore, we discuss our future objectives.
AB - The World Wide Web contains wide variety of news reports, arguments, opinions, etc. that vary widely in quality. People judge the credibility of information on the Web for decision making in daily life. At present, while the quantity of information on the Web is explosively increasing, it is necessary to develop a system that supports such judgments. We have been developing an information credibility analysis system, WISDOM that considers the viewpoints of information contents, information senders, and information appearances. In this paper, as a viewpoint of information contents, we propose a method for providing a bird's eye view of major statements on a given topic and their contradictions. We evaluate the obtained statements in our experiments, and confirm the effectiveness of our approach. Furthermore, we discuss our future objectives.
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UR - http://www.scopus.com/inward/citedby.url?scp=62949158753&partnerID=8YFLogxK
U2 - 10.1109/WIIAT.2008.289
DO - 10.1109/WIIAT.2008.289
M3 - Conference contribution
AN - SCOPUS:62949158753
SN - 9780769534961
SP - 393
EP - 397
BT - Proceedings - 2008 IEEE/WIC/ACM International Conference on Web Intelligence, WI 2008
ER -