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Main Page
WWW2010 Contents
WICOW'10
Contents
Sponsors & Supporters |
WICOW
Author Index
Agosta,
John Mark
What
is Disputed on the Web? (Page
67)
Byler,
Dan
What
is Disputed on the Web? (Page
67)
Chin,
Si-Chi
Detecting
Wikipedia Vandalism with Active Learning and Statistical Language Models (Page
3)
Chung,
Young-joo
Identifying
Spam Link Generators for Monitoring Emerging Web Spam (Page
51)
De
la Calzada, Gabriel
On
Measuring the Quality of Wikipedia Articles (Page
11)
Dekhtyar,
Alex
On
Measuring the Quality of Wikipedia Articles (Page
11)
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Diakopoulos,
Nicholas
Modulating
Video Credibility via Visualization of Quality Evaluations (Page
75)
Eichmann,
David
Detecting
Wikipedia Vandalism with Active Learning and Statistical Language Models (Page
3)
Ennals,
Rob
What
is Disputed on the Web? (Page
67)
Essa,
Irfan
Modulating
Video Credibility via Visualization of Quality Evaluations (Page
75)
Harrison,
Steve
TIME:
A Method of Detecting the Dynamic Variances of Trust (Page
43)
Jansen,
Bernard J.
Smart
Marketing or Bait & Switch? Competitors' Brands as Keywords in Online
Advertising (Page
27)
Jatowt,
Adam
Foreword
Kitsuregawa,
Masaru
Identifying
Spam Link Generators for Monitoring Emerging Web Spam (Page
51)
Largillier,
Thomas
SpotRank:
A Robust Voting System for Social News Websites (Page
59)
Lucassen,
Teun
Trust
in Wikipedia: How Users Trust Information from an Unknown Source (Page
19)
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McCrickard,
D. Scott
TIME:
A Method of Detecting the Dynamic Variances of Trust (Page
43)
Metzger,
Miriam J.
Understanding
Credibility across Disciplinary Boundaries (Page
1)
Peyronnet,
Guillaume
SpotRank:
A Robust Voting System for Social News Websites (Page
59)
Peyronnet,
Sylvain
SpotRank:
A Robust Voting System for Social News Websites (Page
59)
Rosario,
Barbara
What
is Disputed on the Web? (Page
67)
Rosso,
Mark A.
Smart
Marketing or Bait & Switch? Competitors' Brands as Keywords in Online
Advertising (Page
27)
Rowe,
Matthew
The
Credibility of Digital Identity Information on the Social Web: A User
Study (Page
35)
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to Top) |
Schraagen,
Jan Maarten
Trust
in Wikipedia: How Users Trust Information from an Unknown Source (Page
19)
Srinivasan,
Padmini
Detecting
Wikipedia Vandalism with Active Learning and Statistical Language Models (Page
3)
Street,
W. Nick
Detecting
Wikipedia Vandalism with Active Learning and Statistical Language Models (Page
3)
Sun,
Yeong-Tay
TIME:
A Method of Detecting the Dynamic Variances of Trust (Page
43)
Tanaka,
Katsumi
Foreword
Toyoda,
Masashi
Identifying
Spam Link Generators for Monitoring Emerging Web Spam (Page
51)
Vega,
Laurian C.
TIME:
A Method of Detecting the Dynamic Variances of Trust (Page
43)
Zhang,
Min
Foreword
Zhou,
Xiaofang
Foreword
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