Difference between revisions of "WICOW 2009"

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(New page: {{Event |Acronym=WICOW 2009 |Title=The 3rd Workshop on Information Credibility on the Web |Type=Workshop |Field=information credibility |Start date=2009/04/20 |End date=2009/04/20 |Homepa...)
 
 
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{{Event
 
{{Event
 
|Acronym=WICOW 2009
 
|Acronym=WICOW 2009
|Title=The  3rd Workshop on Information Credibility on the Web
+
|Title=3rd Workshop on Information Credibility on the Web
 
|Type=Workshop
 
|Type=Workshop
|Field=information credibility
+
|Field=World wide web
 +
|Superevent=WWW 2009
 
|Start date=2009/04/20
 
|Start date=2009/04/20
 
|End date=2009/04/20
 
|End date=2009/04/20
|Homepage=http://www.dl.kuis.kyoto-u.ac.jp/wicow3/
+
|Homepage=www.dl.kuis.kyoto-u.ac.jp/wicow3/
 
|City=Madrid
 
|City=Madrid
 
|Country=Spain
 
|Country=Spain
 
|Submission deadline=2009/02/03
 
|Submission deadline=2009/02/03
 
}}
 
}}
++apologies for cross-posting++
 
 
 
                       
 
                            ****CALL FOR PAPERS****
 
  
The  3rd Workshop on Information Credibility on the Web (WICOW 2009)
+
==WORKSHOP DESCRIPTION==
 
 
        in conjunction with the 18th World Wide Web Conference 2009
 
 
 
                          April 20, 2009, Madrid, Spain
 
                  http://www.dl.kuis.kyoto-u.ac.jp/wicow3/
 
 
 
 
 
* WORKSHOP DESCRIPTION*
 
  
 
As computers and computer networks become more common, a huge amount of information, such as that found in Web documents, has been accumulated and circulated. Such information helps many people to organize their private and professional lives. However, in general, the quality control of Web content is insufficient due to low publishing barriers. In result there is a lot of mistaken or unreliable information on the Web that can have detrimental effects on users. This calls for technology that would facilitate judging the trustworthiness of content and the quality and accuracy of the information that users encounter on the Web. Such technology should be able to handle a wide range of tasks: extracting credible information related to a given topic, organizing this information, detecting its provenance, clarifying background, facts, and other related opinions and the distribution of them, and so on. The issue of Web information reliability has become also apparent in the view of the recent emergence of many popular Web 2.0 applications, the growth of the so-called Deep Web and the ubiquity of Internet advertising.
 
As computers and computer networks become more common, a huge amount of information, such as that found in Web documents, has been accumulated and circulated. Such information helps many people to organize their private and professional lives. However, in general, the quality control of Web content is insufficient due to low publishing barriers. In result there is a lot of mistaken or unreliable information on the Web that can have detrimental effects on users. This calls for technology that would facilitate judging the trustworthiness of content and the quality and accuracy of the information that users encounter on the Web. Such technology should be able to handle a wide range of tasks: extracting credible information related to a given topic, organizing this information, detecting its provenance, clarifying background, facts, and other related opinions and the distribution of them, and so on. The issue of Web information reliability has become also apparent in the view of the recent emergence of many popular Web 2.0 applications, the growth of the so-called Deep Web and the ubiquity of Internet advertising.
  
  
* TOPICS *
+
==TOPICS==
  
The aim of this workshop is to provide a forum for discussion on
+
The aim of this workshop is to provide a forum for discussion on issues related to information credibility criteria and the process of its evaluation. We invite submissions on any aspect of information credibility on the Web. Topics include, but are not limited to:
issues related to information credibility criteria and the process of
 
its evaluation. We invite submissions on any aspect of information
 
credibility on the Web. Topics include, but are not limited to:
 
  
Information credibility evaluation and its applications
+
* Information credibility evaluation and its applications
Web content analysis for credibility evaluation
+
* Web content analysis for credibility evaluation
Author's intent detection
+
* Author's intent detection
Credibility of Web search results
+
* Credibility of Web search results
Search models and applications for trustworthy content on the Web
+
* Search models and applications for trustworthy content on the Web
Conflicting opinion detection
+
* Conflicting opinion detection
Online media and news credibility
+
* Online media and news credibility
Multimedia content credibility
+
* Multimedia content credibility
Credibility evaluation of user-generated content (e.g., Wikipedia)
+
* Credibility evaluation of user-generated content (e.g., Wikipedia)
Information credibility evaluation in social networks and Web 2.0 applications
+
* Information credibility evaluation in social networks and Web 2.0 applications
Analysis of information dissemination on the Web (e.g., in blogosphere)
+
* Analysis of information dissemination on the Web (e.g., in blogosphere)
Spatial and temporal aspects in information credibility on the Web
+
* Spatial and temporal aspects in information credibility on the Web
Information credibility theory and fundamentals
+
* Information credibility theory and fundamentals
Estimation of information age, provenance and validity
+
* Estimation of information age, provenance and validity
Estimation of author's and publisher's reputation
+
* Estimation of author's and publisher's reputation
Sociological and psychological aspects of information credibility estimation
+
* Sociological and psychological aspects of information credibility estimation
Users study for information credibility evaluation
+
* Users study for information credibility evaluation
Persuasive technologies
+
* Persuasive technologies
Information credibility in online advertising and Internet monetization
+
* Information credibility in online advertising and Internet monetization
Web spam detection
+
* Web spam detection
Data consistency and provenance
+
* Data consistency and provenance
Processing uncertain data and information
+
* Processing uncertain data and information
  
  
* KEYNOTE *
+
==KEYNOTE==
  
 
Title: User Generated Content: How Good it is?
 
Title: User Generated Content: How Good it is?
Line 69: Line 55:
  
  
* IMPORTANT DATES *
+
==IMPORTANT DATES==
  
 
  February 3, 2009 - Paper submission deadline
 
  February 3, 2009 - Paper submission deadline
Line 77: Line 63:
  
  
* SUBMISSION *
+
==SUBMISSION==
  
Submissions should be sent in English in PDF format. Papers should
+
Submissions should be sent in English in PDF format. Papers should adhere to ACM formatting guidelines and be no longer than 8 pages. They must be original and have not been submitted for publication elsewhere. We encourage also submission of position papers outlining interesting research directions.
adhere to ACM formatting guidelines and be no longer than 8 pages.
 
They must be original and have not been submitted for publication
 
elsewhere. We encourage also submission of position papers outlining
 
interesting research directions.
 
  
  
* ORGANIZATION *
+
==ORGANIZATION==
  
Katsumi Tanaka (Kyoto University, Japan)
+
* Katsumi Tanaka (Kyoto University, Japan)
Xiaofang Zhou (University of Queensland, Australia)
+
* Xiaofang Zhou (University of Queensland, Australia)
Adam Jatowt (Kyoto University, Japan)
+
* Adam Jatowt (Kyoto University, Japan)
  
Program Committee:
+
=== Program Committee===
  
Witold Abramowicz (Poznan University of Economics, Poland)
+
* Witold Abramowicz (Poznan University of Economics, Poland)
Sourav S Bhowmick (Nanyang Technological University, Singapore)
+
* Sourav S Bhowmick (Nanyang Technological University, Singapore)
Yunbo Cao (Microsoft Research Asia, China)
+
* Yunbo Cao (Microsoft Research Asia, China)
James Caverlee (Texas A&M University, USA)
+
* James Caverlee (Texas A&M University, USA)
David Danielson (Stanford University, USA)
+
* David Danielson (Stanford University, USA)
Jean-Yves Delort (Macquarie University, Australia)
+
* Jean-Yves Delort (Macquarie University, Australia)
Ke Deng (University of Queensland, Australia)
+
* Ke Deng (University of Queensland, Australia)
Pavel Dmitriev (Yahoo!, USA)
+
* Pavel Dmitriev (Yahoo!, USA)
Rino Falcone (CNR, Italy)
+
* Rino Falcone (CNR, Italy)
Marta Indulska (University of Queensland, Australia)
+
* Marta Indulska (University of Queensland, Australia)
Kentaro Inui (NAIST, Japan)
+
* Kentaro Inui (NAIST, Japan)
Daxin Jiang (Microsoft Research Asia, China)
+
* Daxin Jiang (Microsoft Research Asia, China)
Yoshikiyo Kato (NICT, Japan)
+
* Yoshikiyo Kato (NICT, Japan)
Nick Koudas (University of Toronto, Canada)
+
* Nick Koudas (University of Toronto, Canada)
Marek Kowalkiewicz (SAP Research, Australia)
+
* Marek Kowalkiewicz (SAP Research, Australia)
Sadao Kurohashi (Kyoto University, Japan)
+
* Sadao Kurohashi (Kyoto University, Japan)
Chen Li (UC Irvine, USA)
+
* Chen Li (UC Irvine, USA)
Ee-Peng Lim (Singapore Management University, Singapore)
+
* Ee-Peng Lim (Singapore Management University, Singapore)
Li Ma (IBM Research, China)
+
* Li Ma (IBM Research, China)
Yutaka Matsuo (University of Tokyo, Japan)
+
* Yutaka Matsuo (University of Tokyo, Japan)
Martin Memmel (DFKI, Germany)
+
* Martin Memmel (DFKI, Germany)
Miriam Metzger (UCSB, USA)
+
* Miriam Metzger (UCSB, USA)
Sudha Ram (University of Arizona, USA)
+
* Sudha Ram (University of Arizona, USA)
Shazia Sadiq (University of Queensland, Australia)
+
* Shazia Sadiq (University of Queensland, Australia)
Kazutoshi Sumiya (University of Hyogo, Japan)
+
* Kazutoshi Sumiya (University of Hyogo, Japan)
Wei Wang (University of New South Wales, Australia)
+
* Wei Wang (University of New South Wales, Australia)
Martin Wolpers (Fraunhofer FIT, Germany)
+
* Martin Wolpers (Fraunhofer FIT, Germany)
Xiaochun Yang (Northeastern University, China)
+
* Xiaochun Yang (Northeastern University, China)
Masatoshi Yoshikawa (Kyoto University, Japan)
+
* Masatoshi Yoshikawa (Kyoto University, Japan)
  
  
* CONTACT *
+
==CONTACT==
  
Adam Jatowt
+
Adam Jatowt
email: adam [at] dl [dot] kuis [dot] kyoto-u [dot] ac [dot] jp
+
email: adam [at] dl [dot] kuis [dot] kyoto-u [dot] ac [dot] jp
phone/fax: +81-75-231-4282
+
phone/fax: +81-75-231-4282

Latest revision as of 18:10, 19 January 2009

WICOW 2009
3rd Workshop on Information Credibility on the Web
Subevent of WWW 2009
Dates 2009/04/20 (iCal) - 2009/04/20
Homepage: www.dl.kuis.kyoto-u.ac.jp/wicow3/
Location
Location: Madrid, Spain
Loading map...

Important dates
Submissions: 2009/02/03
Table of Contents



WORKSHOP DESCRIPTION

As computers and computer networks become more common, a huge amount of information, such as that found in Web documents, has been accumulated and circulated. Such information helps many people to organize their private and professional lives. However, in general, the quality control of Web content is insufficient due to low publishing barriers. In result there is a lot of mistaken or unreliable information on the Web that can have detrimental effects on users. This calls for technology that would facilitate judging the trustworthiness of content and the quality and accuracy of the information that users encounter on the Web. Such technology should be able to handle a wide range of tasks: extracting credible information related to a given topic, organizing this information, detecting its provenance, clarifying background, facts, and other related opinions and the distribution of them, and so on. The issue of Web information reliability has become also apparent in the view of the recent emergence of many popular Web 2.0 applications, the growth of the so-called Deep Web and the ubiquity of Internet advertising.


TOPICS

The aim of this workshop is to provide a forum for discussion on issues related to information credibility criteria and the process of its evaluation. We invite submissions on any aspect of information credibility on the Web. Topics include, but are not limited to:

  • Information credibility evaluation and its applications
  • Web content analysis for credibility evaluation
  • Author's intent detection
  • Credibility of Web search results
  • Search models and applications for trustworthy content on the Web
  • Conflicting opinion detection
  • Online media and news credibility
  • Multimedia content credibility
  • Credibility evaluation of user-generated content (e.g., Wikipedia)
  • Information credibility evaluation in social networks and Web 2.0 applications
  • Analysis of information dissemination on the Web (e.g., in blogosphere)
  • Spatial and temporal aspects in information credibility on the Web
  • Information credibility theory and fundamentals
  • Estimation of information age, provenance and validity
  • Estimation of author's and publisher's reputation
  • Sociological and psychological aspects of information credibility estimation
  • Users study for information credibility evaluation
  • Persuasive technologies
  • Information credibility in online advertising and Internet monetization
  • Web spam detection
  • Data consistency and provenance
  • Processing uncertain data and information


KEYNOTE

Title: User Generated Content: How Good it is?

Speaker: Ricardo Baeza-Yates (Yahoo! Research)

Abstract: See website.


IMPORTANT DATES

February 3, 2009 - Paper submission deadline
February 26, 2009 - Notification of acceptance
March 6, 2009 - Camera ready deadline
April 20, 2009 - Workshop


SUBMISSION

Submissions should be sent in English in PDF format. Papers should adhere to ACM formatting guidelines and be no longer than 8 pages. They must be original and have not been submitted for publication elsewhere. We encourage also submission of position papers outlining interesting research directions.


ORGANIZATION

  • Katsumi Tanaka (Kyoto University, Japan)
  • Xiaofang Zhou (University of Queensland, Australia)
  • Adam Jatowt (Kyoto University, Japan)

Program Committee

  • Witold Abramowicz (Poznan University of Economics, Poland)
  • Sourav S Bhowmick (Nanyang Technological University, Singapore)
  • Yunbo Cao (Microsoft Research Asia, China)
  • James Caverlee (Texas A&M University, USA)
  • David Danielson (Stanford University, USA)
  • Jean-Yves Delort (Macquarie University, Australia)
  • Ke Deng (University of Queensland, Australia)
  • Pavel Dmitriev (Yahoo!, USA)
  • Rino Falcone (CNR, Italy)
  • Marta Indulska (University of Queensland, Australia)
  • Kentaro Inui (NAIST, Japan)
  • Daxin Jiang (Microsoft Research Asia, China)
  • Yoshikiyo Kato (NICT, Japan)
  • Nick Koudas (University of Toronto, Canada)
  • Marek Kowalkiewicz (SAP Research, Australia)
  • Sadao Kurohashi (Kyoto University, Japan)
  • Chen Li (UC Irvine, USA)
  • Ee-Peng Lim (Singapore Management University, Singapore)
  • Li Ma (IBM Research, China)
  • Yutaka Matsuo (University of Tokyo, Japan)
  • Martin Memmel (DFKI, Germany)
  • Miriam Metzger (UCSB, USA)
  • Sudha Ram (University of Arizona, USA)
  • Shazia Sadiq (University of Queensland, Australia)
  • Kazutoshi Sumiya (University of Hyogo, Japan)
  • Wei Wang (University of New South Wales, Australia)
  • Martin Wolpers (Fraunhofer FIT, Germany)
  • Xiaochun Yang (Northeastern University, China)
  • Masatoshi Yoshikawa (Kyoto University, Japan)


CONTACT

Adam Jatowt email: adam [at] dl [dot] kuis [dot] kyoto-u [dot] ac [dot] jp phone/fax: +81-75-231-4282

Facts about "WICOW 2009"
AcronymWICOW 2009 +
End dateApril 20, 2009 +
Event typeWorkshop +
Has coordinates40° 25' 0", -3° 42' 13"Latitude: 40.416705555556
Longitude: -3.7035833333333
+
Has location cityMadrid +
Has location countryCategory:Spain +
Homepagehttp://www.dl.kuis.kyoto-u.ac.jp/wicow3/ +
IsAEvent +
Start dateApril 20, 2009 +
Subevent ofWWW 2009 +
Submission deadlineFebruary 3, 2009 +
Title3rd Workshop on Information Credibility on the Web +