Adam Wierzbicki
member: webquality2012-polish-japanese-institute-of-information-technology-pjiit-adam-wierzbicki
type: Thing
has affiliation: webquality2012-polish-japanese-institute-of-information-technology-pjiit-adam-wierzbicki
type: Object
type: Person
made: Game-theoretic Models of Web Credibility
type: Agent
family name: Wierzbicki
given name: Adam

Christopher Horn
given name: Christopher
type: Agent
name: Christopher Horn
made: Measuring the Quality of Web Content using Factual Information
type: Person
type: Object
family name: Horn
type: Thing
has affiliation: webquality2012-graz-university-of-technology-christopher-horn
member: webquality2012-graz-university-of-technology-christopher-horn

Akshay Dua
has affiliation: webquality2012-portland-state-university-akshay-dua
family name: Dua
made: kaPoW Plugins: Protecting Web Applications Using Reputation-based Proof-of-Work
name: Akshay Dua
member: webquality2012-portland-state-university-akshay-dua
type: Agent
type: Object
type: Person
type: Thing
given name: Akshay

Kazutoshi Sumiya
type: Thing
type: Agent
given name: Kazutoshi
type: Object
family name: Sumiya
has affiliation: webquality2012-university-of-hyogo-kazutoshi-sumiya
made: A Deformation Analysis Method for Artificial Maps Based on Geographical Accuracy and Its Applications
member: webquality2012-university-of-hyogo-kazutoshi-sumiya
type: Person

Valentina Presutti
type: Person
givenname: Valentina
family name: Presutti

Marcelo Errecalde
member: webquality2012-universidad-nacional-de-san-luis-marcelo-errecalde
type: Agent
family name: Errecalde
has affiliation: webquality2012-universidad-nacional-de-san-luis-marcelo-errecalde
made: Measuring the Quality of Web Content using Factual Information
type: Person
given name: Marcelo
type: Object
type: Thing

Wu-Chang Feng
has affiliation: webquality2012-portland-state-university-wu-chang-feng
type: Agent
type: Object
family name: Feng
given name: Wu-Chang
name: Wu-Chang Feng
type: Person
made: kaPoW Plugins: Protecting Web Applications Using Reputation-based Proof-of-Work
member: webquality2012-portland-state-university-wu-chang-feng
type: Thing

MTA SZTAKI, Budapest
type: Thing
type: Agent
type: Organization
type: Organisation
type: Object

Jingwei Zhang
given name: Jingwei
type: Agent
type: Person
made: An Information Theoretic Approach to Sentimental Polarity Classification
name: Jingwei Zhang
has affiliation: webquality2012-east-china-normal-university-jingwei-zhang
family name: Zhang
member: webquality2012-east-china-normal-university-jingwei-zhang
type: Object
type: Thing

Wellesley College
type: Organization
type: Object
type: Agent
type: Organisation
type: Thing
name: Wellesley College

EPFL
type: Agent
type: Organization
type: Organisation
name: EPFL
type: Thing
type: Object

Microsoft Research
type: Agent
type: Thing
type: Object
type: Organisation
type: Organization

Elisabeth Lex
type: Agent
given name: Elisabeth
type: Person
type: Object
has affiliation: webquality2012-know-center-gmbh-elisabeth-lex
type: Thing
made: Measuring the Quality of Web Content using Factual Information
family name: Lex
member: webquality2012-know-center-gmbh-elisabeth-lex

Dasiuke Kitayama
type: Thing
type: Person
member: webquality2012-university-of-hyogo-dasiuke-kitayama
made: A Deformation Analysis Method for Artificial Maps Based on Geographical Accuracy and Its Applications
type: Agent
family name: Kitayama
given name: Dasiuke
type: Object
has affiliation: webquality2012-university-of-hyogo-dasiuke-kitayama

Carnegie Mellon University
type: Thing
type: Agent
type: Organization
type: Object
name: Carnegie Mellon University
type: Organisation

Tien Le
type: Agent
family name: Le
given name: Tien
type: Thing
type: Object
has affiliation: webquality2012-portland-state-university-tien-le
member: webquality2012-portland-state-university-tien-le
made: kaPoW Plugins: Protecting Web Applications Using Reputation-based Proof-of-Work
type: Person

East China Normal University
type: Agent
type: Organization
type: Thing
type: Organisation
type: Object

Portland State University
type: Object
type: Agent
name: Portland State University
type: Thing
type: Organization
type: Organisation

Karl Aberer
type: Agent
type: Thing
made: Game-theoretic Models of Web Credibility
has affiliation: webquality2012-epfl-karl-aberer
type: Person
member: webquality2012-epfl-karl-aberer
family name: Aberer
type: Object
given name: Karl

Dataset about webquality2012-alignments.
type: Dataset
created: Tue May 03 19:04:54 CEST 2016
creator: Andrea Giovanni Nuzzolese
creator: Anna Lisa Gentile
creator: Valentina Presutti
creator: Aldo Gangemi
had primary source: complete

Aldo Gangemi
type: Person
givenname: Aldo
family name: Gangemi

Kyoto University
type: Thing
type: Agent
type: Organization
type: Object
type: Organisation
name: Kyoto University

Matt Cutts
type: Person
type: Agent
family name: Cutts
given name: Matt
type: Object
member: webquality2012-google-inc-matt-cutts
name: Matt Cutts
has affiliation: webquality2012-google-inc-matt-cutts
type: Thing
holds role: webquality2012-programme-committee-member-matt-cutts

Miriam Metzger
type: Agent
holds role: webquality2012-programme-committee-member-miriam-metzger
type: Person
family name: Metzger
member: webquality2012-university-of-california-santa-barbara-miriam-metzger
given name: Miriam
type: Object
type: Thing
has affiliation: webquality2012-university-of-california-santa-barbara-miriam-metzger

Computer and Automation Research Institute, Hungarian Academy of Sciences
type: Agent
type: Object
type: Thing
name: Computer and Automation Research Institute, Hungarian Academy of Sciences
type: Organization
type: Organisation

Bauhaus-Universität Weimar
type: Agent
name: Bauhaus-Universität Weimar
type: Organisation
type: Object
type: Organization
type: Thing

Panagiotis Metaxas
member: webquality2012-wellesley-college-panagiotis-metaxas
type: Agent
family name: Metaxas
holds role: webquality2012-programme-committee-member-panagiotis-metaxas
given name: Panagiotis
type: Person
has affiliation: webquality2012-wellesley-college-panagiotis-metaxas
name: Panagiotis Metaxas
type: Object
type: Thing

Universidad Nacional de San Luis
type: Organisation
type: Agent
type: Organization
type: Thing
type: Object

Zoltan Gyongyi
type: Thing
type: Object
type: Person
type: Agent
given name: Zoltan
family name: Gyongyi
has affiliation: webquality2012-google-research-zoltan-gyongyi
holds role: webquality2012-programme-chair-zoltan-gyongyi
member: webquality2012-google-research-zoltan-gyongyi

Lehigh University
type: Agent
type: Thing
type: Organisation
type: Object
type: Organization

Content-Based Trust and Bias Classification via Biclustering
is part of: proceedings
keyword: Web Quality
type: Object
subject: Trust
keyword: Machine Learning
creator: Dávid Siklósi
title: Content-Based Trust and Bias Classification via Biclustering
type: InProceedings
has author list: authorList
abstract: In this paper we give probably the first practically useful result for trust, bias and factuality classification over Web data on the domain level. Unlike the majority of literature in this area that aims at extracting opinion and handling short text on the micro level, we aim to aid a researcher or an archivist in obtaining a large collection that, on the high level, originates from unbiased and trustworthy sources. Our method generates features as Jensen-Shannon distances from centers in a host-term biclustering. On top of the distance features, we apply kernel fusion methods and also combine with baseline text classifiers. We test our method on the ECML/PKDD Discovery Challenge data set DC2010. Our method improves over the best achieved text classification AUC results by over 0.02 for both neutrality and trustworhiness. The fact that the ECML/PKDD Discovery Challenge 2010 participants reached an AUC around 0.5 indicates the hardness of the task.
maker: Andras A. Benczur
subject: Web Quality
maker: Bálint Daróczy
maker: Dávid Siklósi
keyword: Bias
creator: Bálint Daróczy
subject: Bias
keyword: Document Classification
author list: authorList
type: InformationObject
keyword: Trust
subject: Machine Learning
type: ProceedingsPaper
creator: Andras A. Benczur
type: SocialObject
subject: Document Classification
type: Thing

Maik Anderka
type: Agent
member: webquality2012-bauhaus-universitaet-weimar-maik-anderka
has affiliation: webquality2012-bauhaus-universitaet-weimar-maik-anderka
type: Thing
given name: Maik
type: Object
name: Maik Anderka
family name: Anderka
type: Person
made: A Breakdown of Quality Flaws in Wikipedia

Katarzyna Abramczuk
name: Katarzyna Abramczuk
has affiliation: webquality2012-polish-academy-of-sciences-katarzyna-abramczuk
type: Object
made: Game-theoretic Models of Web Credibility
given name: Katarzyna
member: webquality2012-polish-academy-of-sciences-katarzyna-abramczuk
type: Person
type: Agent
type: Thing
family name: Abramczuk

Rishi Chandy
member: webquality2012-carnegie-mellon-university-rishi-chandy
given name: Rishi
type: Object
type: Person
type: Agent
has affiliation: webquality2012-carnegie-mellon-university-rishi-chandy
family name: Chandy
made: Identifying Spam in the iOS App Store
name: Rishi Chandy
type: Thing

An Information Theoretic Approach to Sentimental Polarity Classification
type: Object
type: SocialObject
author list: authorList
keyword: mutual information
type: ProceedingsPaper
type: Thing
keyword: information theory
abstract: Sentiment classification is a task of classifying documents according to their overall sentimental inclination. It is very important and popular in many web applications, such as analysis of credibility of news sites on the web, recommendation system and mining online discussion. Vector space model is widely applied on modeling documents in supervised sentiment classification, in which the feature presentation (including features type and weighting method) is crucial for classification accuracy. The traditional feature presentation methods of text categorization do not perform well in sentiment classification, because the expressing manners of sentiment are more subtle. We analyze the relationships of terms with sentimental labels based on information theory, and propose applying information theoretic approach on sentiment classification of documents. In this paper, the sentimental polarities of the terms in a document are quantified by mutual information. And then the terms are weighted in vector space based on their sentiment scores and contribution to the document. We perform extensive experiments with SVM on the sets of multiple products reviews, and the experimental results show our approach is more effective than the traditional ones.
creator: Aoying Zhou
maker: Jingwei Zhang
maker: Aoying Zhou
subject: mutual information
keyword: sentiment classification
type: InformationObject
maker: Yuming Lin
subject: information theory
subject: feature presentation
creator: Jingwei Zhang
is part of: proceedings
type: InProceedings
keyword: feature presentation
creator: Yuming Lin
maker: Xiaoling Wang
has author list: authorList
subject: sentiment classification
creator: Xiaoling Wang

Graz University of Technology
type: Organization
type: Agent
type: Thing
type: Organisation
type: Object
name: Graz University of Technology

Katsumi Tanaka
given name: Katsumi
type: Object
member: webquality2012-department-of-social-informatics-graduate-school-of-informatics-kyoto-university-katsumi-tanaka
type: Person
family name: Tanaka
type: Agent
name: Katsumi Tanaka
has affiliation: webquality2012-department-of-social-informatics-graduate-school-of-informatics-kyoto-university-katsumi-tanaka
type: Thing
holds role: webquality2012-programme-chair-katsumi-tanaka

Yahoo! Research
type: Agent
type: Object
name: Yahoo! Research
type: Organization
type: Organisation
type: Thing

Xiaoling Wang
type: Agent
given name: Xiaoling
member: webquality2012-software-engineering-institute-east-china-normal-university-xiaoling-wang
family name: Wang
name: Xiaoling Wang
type: Person
type: Thing
made: An Information Theoretic Approach to Sentimental Polarity Classification
type: Object
has affiliation: webquality2012-software-engineering-institute-east-china-normal-university-xiaoling-wang

Identifying Spam in the iOS App Store
type: InProceedings
keyword: opinion spam
author list: authorList
abstract: Popular apps on the Apple iOS App Store can generate millions of dollars in profit and collect valuable personal user information. Fraudulent reviews could deceive users into downloading potentially harmful spam apps or unfairly ignoring apps that are victims of review spam, thus automatically identifying spam in the App Store is an important problem. This paper aims to introduce and characterize novel datasets acquired through crawling the iOS App Store, compare a baseline Decision Tree model with a novel Latent Class graphical model for classification of app spam, and analyze preliminary results for clustering reviews.
type: ProceedingsPaper
type: InformationObject
type: Thing
keyword: mobile apps
is part of: proceedings
keyword: review spam
maker: Rishi Chandy
has author list: authorList
creator: Rishi Chandy
maker: Haijie Gu
subject: opinion spam
type: Object
subject: review spam
subject: mobile apps
title: Identifying Spam in the iOS App Store
creator: Haijie Gu
type: SocialObject

Michael Voelske
type: Person
type: Object
has affiliation: webquality2012-bauhaus-universitaet-weimar-michael-voelske
family name: Voelske
type: Agent
member: webquality2012-bauhaus-universitaet-weimar-michael-voelske
name: Michael Voelske
given name: Michael
type: Thing
made: Measuring the Quality of Web Content using Factual Information

Dávid Siklósi
has affiliation: webquality2012-computer-and-automation-research-institute-hungarian-academy-of-sciences-david-siklosi
type: Thing
given name: Dávid
family name: Siklósi
type: Agent
type: Person
made: Content-Based Trust and Bias Classification via Biclustering
member: webquality2012-computer-and-automation-research-institute-hungarian-academy-of-sciences-david-siklosi
type: Object

Department of Social Informatics, Graduate School of Informatics, Kyoto University
type: Organisation
type: Agent
name: Department of Social Informatics, Graduate School of Informatics, Kyoto University
type: Thing
type: Organization
type: Object

A Breakdown of Quality Flaws in Wikipedia
subject: Wikipedia
type: Thing
type: InProceedings
keyword: Wikipedia
creator: Maik Anderka
is part of: proceedings
maker: Benno Stein
has author list: authorList
type: SocialObject
type: Object
subject: User-generated Content Analysis
abstract: The online encyclopedia Wikipedia is a successful example of the increasing popularity of user generated content on the Web. Despite its success, Wikipedia is often criticized for containing low-quality information, which is mainly attributed to its core policy of being open for editing by everyone. The identification of low-quality information is an important task since Wikipedia has become the primary source of knowledge for a huge number of people around the world. Previous research on quality assessment in Wikipedia either investigates only small samples of articles, or else focuses on single quality aspects, like accuracy or formality. This paper targets the investigation of quality flaws, and presents the first complete breakdown of Wikipedia's quality flaw structure. We conduct an extensive exploratory analysis, which reveals (1) the quality flaws that actually exist, (2) the distribution of flaws in Wikipedia, and (3) the extent of flawed content. An important finding is that more than one in four English Wikipedia articles contains at least one quality flaw, 70% of which concern article verifiability.
type: InformationObject
keyword: Quality Flaws
subject: Quality Flaws
keyword: User-generated Content Analysis
creator: Benno Stein
author list: authorList
maker: Maik Anderka
subject: Information Quality
type: ProceedingsPaper
title: A Breakdown of Quality Flaws in Wikipedia
keyword: Information Quality

Xiaofang Zhou
type: Thing
type: Object
family name: Zhou
given name: Xiaofang
type: Agent
has affiliation: webquality2012-the-university-of-queensland-xiaofang-zhou
member: webquality2012-the-university-of-queensland-xiaofang-zhou
type: Person
holds role: webquality2012-programme-committee-member-xiaofang-zhou

University of Tokyo
type: Organization
type: Agent
type: Object
name: University of Tokyo
type: Organisation
type: Thing

Universitat Pompeu Fabra
type: Organisation
type: Agent
type: Thing
type: Organization
name: Universitat Pompeu Fabra
type: Object

Masashi Toyoda
family name: Toyoda
type: Agent
given name: Masashi
name: Masashi Toyoda
has affiliation: webquality2012-university-of-tokyo-masashi-toyoda
type: Object
type: Thing
type: Person
holds role: webquality2012-programme-committee-member-masashi-toyoda
member: webquality2012-university-of-tokyo-masashi-toyoda

Detecting Collective Attention Spam
type: SocialObject
type: Thing
subject: spam
is part of: proceedings
creator: James Caverlee
maker: James Caverlee
creator: Zhiyuan Cheng
title: Detecting Collective Attention Spam
maker: Krishna Kamath
type: InformationObject
subject: collective attention
type: ProceedingsPaper
subject: social media
abstract: We examine the problem of collective attention spam, in which spammers target social media where user attention quickly coalesces and then collectively focuses around a phenomenon. Compared to many existing spam types, collective attention spam relies on the users themselves to seek out the content -- like breaking news, viral videos, and popular memes -- where the spam will be encountered, potentially increasing its effectiveness and reach. We study the presence of collective spam in one popular service, Twitter, and we develop spam classifier to detect spam messages generated by collective attention spammers. Since many instances of collective attention are bursty and unexpected, it is difficult to build spam detectors to pre-screen them before they arise; hence, we examine the effectiveness of quickly learning a classifier based on the first moments of a bursting phenomenon. Through initial experiments over a small set of trending topics on Twitter, we find encouraging results, suggesting that collective attention spam may be identified early in its life cycle and shielded from the view of unsuspecting social media users.
maker: Zhiyuan Cheng
creator: Krishna Kamath
maker: Kyumin Lee
keyword: social media
keyword: spam
author list: authorList
has author list: authorList
creator: Kyumin Lee
type: InProceedings
keyword: collective attention
type: Object

University of Queensland
type: Thing
type: Agent
type: Object
type: Organisation
type: Organization
name: University of Queensland

Leticia Cagnina
family name: Cagnina
made: Measuring the Quality of Web Content using Factual Information
type: Person
type: Thing
type: Agent
has affiliation: webquality2012-universidad-nacional-de-san-luis-leticia-cagnina
member: webquality2012-universidad-nacional-de-san-luis-leticia-cagnina
type: Object
given name: Leticia
name: Leticia Cagnina

kaPoW Plugins: Protecting Web Applications Using Reputation-based Proof-of-Work
creator: Wu-Chang Feng
maker: Tien Le
is part of: proceedings
creator: Tien Le
abstract: Comment spam is a fact of life if you have a blog or forum. Tools like Akismet and CAPTCHA help prevent spam in applications like WordPress or phpBB. However, they are not devoid of shortcomings. CAPTCHAs are getting easier to solve by automated adversaries like bots and pose usability issues. Akismet strives to detect spam, but can't do much to reduce it. This paper presents the kaPoW plugin and reputation service that can complement existing anti-spam tools. kaPoW creates disincentives for sending spam by slowing down spammers. It uses a web-based proof-of-work approach wherein a client is given a computational puzzle to solve before accessing a service (e.g. comment posting). The idea is to set puzzle difficulties based on a client's reputation, thereby, issuing ``harder'' puzzles to spammers. The more time spammers solve puzzles, the less time they have to send spam. Unlike CAPTCHAs, kaPoW requires no additional user interaction since all the puzzles are issued and solved in software. kaPoW can be used by any web application that supports an extension framework (e.g. plugins) and is concerned about spam.
type: InProceedings
type: InformationObject
keyword: reputation
subject: spam
subject: puzzles
subject: reputation
type: Thing
author list: authorList
keyword: puzzles
type: ProceedingsPaper
keyword: spam
type: Object
maker: Wu-Chang Feng
has author list: authorList
title: kaPoW Plugins: Protecting Web Applications Using Reputation-based Proof-of-Work
type: SocialObject
creator: Akshay Dua
maker: Akshay Dua

On Measuring the Lexical Quality of the Web
subject: lexical quality
is part of: proceedings
subject: social media
keyword: lexical quality
type: SocialObject
type: InProceedings
maker: Ricardo Baeza-Yates
keyword: social media
type: Thing
subject: Web text accessibility
author list: authorList
abstract: In this paper we propose a measure for estimating the lexical quality of the Web, that is, the representational aspect of the textual web content. Our lexical quality measure is based in a small corpus of spelling errors and we apply it to English and Spanish. We first compute the correlation of our measure with web popularity measures to show that gives independent information and then we apply it to different web segments, including social media. Our results shed a light on the lexical quality of the Web and show that authoritative websites have several orders of magnitude less misspellings than the overall Web. We also present an analysis of geographical distribution of lexical quality throughout English and Spanish speaking countries.
creator: Luz Rello
type: ProceedingsPaper
keyword: Web text accessibility
has author list: authorList
type: Object
creator: Ricardo Baeza-Yates
maker: Luz Rello
type: InformationObject

Haijie Gu
given name: Haijie
type: Agent
type: Person
family name: Gu
member: webquality2012-carnegie-mellon-university-haijie-gu
has affiliation: webquality2012-carnegie-mellon-university-haijie-gu
type: Object
name: Haijie Gu
type: Thing
made: Identifying Spam in the iOS App Store

Software Engineering Institute, East China Normal University
type: Organization
type: Agent
type: Thing
type: Organisation
name: Software Engineering Institute, East China Normal University
type: Object

Polish Academy of Sciences
type: Thing
type: Organisation
type: Object
type: Agent
type: Organization

Edgardo Ferretti
member: webquality2012-universidad-nacional-de-san-luis-edgardo-ferretti
type: Object
type: Thing
type: Agent
family name: Ferretti
has affiliation: webquality2012-universidad-nacional-de-san-luis-edgardo-ferretti
given name: Edgardo
name: Edgardo Ferretti
type: Person
made: Measuring the Quality of Web Content using Factual Information

UCSB
type: Organization
type: Organisation
type: Agent
type: Object
type: Thing

Benno Stein
name: Benno Stein
type: Object
made: Measuring the Quality of Web Content using Factual Information
family name: Stein
given name: Benno
type: Agent
member: webquality2012-bauhaus-universitaet-weimar-benno-stein
made: A Breakdown of Quality Flaws in Wikipedia
has affiliation: webquality2012-bauhaus-universitaet-weimar-benno-stein
type: Person
type: Thing

Texas A&M University
type: Agent
name: Texas A&M University
type: Organization
type: Thing
type: Organisation
type: Object

Brian Davison
type: Agent
type: Person
given name: Brian
family name: Davison
type: Thing
name: Brian Davison
type: Object
member: webquality2012-lehigh-university-brian-davison
has affiliation: webquality2012-lehigh-university-brian-davison
holds role: webquality2012-programme-committee-member-brian-davison

Ching Man Au Yeung
has affiliation: webquality2012-ntt-communication-science-laboratories-ching-man-au-yeung
type: Object
given name: Ching
type: Agent
type: Person
family name: Au Yeung
holds role: webquality2012-programme-committee-member-ching-man-au-yeung
type: Thing
member: webquality2012-ntt-communication-science-laboratories-ching-man-au-yeung
name: Ching Man Au Yeung

Aoying Zhou
type: Person
made: An Information Theoretic Approach to Sentimental Polarity Classification
type: Agent
type: Object
type: Thing
given name: Aoying
member: webquality2012-east-china-normal-university-aoying-zhou
family name: Zhou
has affiliation: webquality2012-east-china-normal-university-aoying-zhou

A Deformation Analysis Method for Artificial Maps Based on Geographical Accuracy and Its Applications
author list: authorList
keyword: Navigation System
subject: Artificial Maps
type: Object
creator: Dasiuke Kitayama
type: Thing
type: InformationObject
type: ProceedingsPaper
creator: Kazutoshi Sumiya
abstract: Artificial maps are widely used for a variety of purposes, including as tourist guides to help people find geographical objects using simple figures. We aim to develop an editing system and a navigation system for artificial maps. Artificial maps made for tourists show suitable objects for traveling users. Therefore, if the artificial map has a navigation system, users can get geographical information such as object positions and routes without performing any operations. However, artificial maps might contain incorrect or superfluous information, such as some objects on the map being intentionally enlarged or omitted. For developing the system, there are two problems: 1. how to extract geographical information from the raster graphics of the artificial map and 2. how to revise inaccurate geographical information on the artificial map. We propose a deformation-analyzing method based on geographical accuracy using optical character recognition techniques and comparing gazetteer information. That is, our proposed method detects the tolerance level for deformation according to the purpose of the artificial map. Then, we detect a certain position on the artificial map using deformation analysis. In this paper, we develop a prototype system and we evaluate the accuracy of extracting information from the artificial map and detecting positions.
is part of: proceedings
keyword: GIS
keyword: Artificial Maps
maker: Dasiuke Kitayama
subject: GIS
subject: Navigation System
subject: Geographical Accuracy
type: SocialObject
type: InProceedings
maker: Kazutoshi Sumiya
has author list: authorList
keyword: Geographical Accuracy

Google
type: Agent
name: Google
type: Organization
type: Thing
type: Organisation
type: Object

Anna Lisa Gentile
type: Person
givenname: Anna Lisa
family name: Gentile

Andrea Giovanni Nuzzolese
type: Person
givenname: Andrea Giovanni
family name: Nuzzolese

Google Research
type: Organisation
name: Google Research
type: Object
type: Agent
type: Organization
type: Thing

Steve Webb
type: Thing
family name: Webb
given name: Steve
has affiliation: webquality2012-georgia-institute-of-technology-steve-webb
member: webquality2012-georgia-institute-of-technology-steve-webb
holds role: webquality2012-programme-committee-member-steve-webb
type: Person
type: Agent
type: Object

University of Passau
type: Agent
name: University of Passau
type: Thing
type: Object
type: Organization
type: Organisation

Measuring the Quality of Web Content using Factual Information
title: Measuring the Quality of Web Content using Factual Information
maker: Michael Voelske
creator: Christopher Horn
type: Object
keyword: Web Content
maker: Leticia Cagnina
type: Thing
has author list: authorList
type: InformationObject
author list: authorList
subject: Information Quality
keyword: Factual Information
type: ProceedingsPaper
creator: Benno Stein
maker: Marcelo Errecalde
creator: Edgardo Ferretti
keyword: Information Quality
maker: Benno Stein
subject: Factual Information
is part of: proceedings
creator: Michael Voelske
creator: Marcelo Errecalde
creator: Michael Granitzer
maker: Michael Granitzer
maker: Edgardo Ferretti
abstract: Nowadays, many decisions are based on information found in the Web. For the most part, the disseminating sources are not certified, and hence an assessment of the quality and credibility of Web content became more important than ever. With factual density we present a simple statistical quality measure that is based on facts extracted from Web content using Open Information Extraction. In a first case study, we use this measure to identify featured/good articles in Wikipedia. We compare the factual density measure with word count, a measure that has successfully been applied to this task in the past. Our evaluation corroborates the good performance of word count in Wikipedia since featured/good articles are often longer than non-featured. However, for articles of similar lengths the word count measure fails while factual density can separate between them with an F-measure of 90.4%. We also investigate the use of relational features for categorizing Wikipedia articles into featured/good versus non-featured ones. If articles have similar lengths, we achieve an F-measure of 86.7% and 84% otherwise.
type: SocialObject
creator: Leticia Cagnina
type: InProceedings
maker: Elisabeth Lex
maker: Christopher Horn
creator: Elisabeth Lex
subject: Web Content

Thanasis Papaioannou
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type: Person
has affiliation: webquality2012-epfl-thanasis-papaioannou
name: Thanasis Papaioannou
family name: Papaioannou
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member: webquality2012-epfl-thanasis-papaioannou
made: Game-theoretic Models of Web Credibility
given name: Thanasis

Polish-Japanese Institute of Information Technology (PJIIT)
name: Polish-Japanese Institute of Information Technology (PJIIT)
type: Organization
type: Organisation
type: Object
type: Agent
type: Thing

Kyumin Lee
has affiliation: webquality2012-texas-am-university-kyumin-lee
type: Thing
type: Agent
given name: Kyumin
made: Detecting Collective Attention Spam
type: Person
family name: Lee
member: webquality2012-texas-am-university-kyumin-lee
type: Object

NTT Communication Science Laboratories
type: Organization
type: Agent
type: Organisation
type: Thing
type: Object

Adam Jatowt
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type: Person
family name: Jatowt
type: Thing
name: Adam Jatowt
given name: Adam
member: webquality2012-kyoto-university-adam-jatowt
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type: Object
has affiliation: webquality2012-kyoto-university-adam-jatowt

Andras A. Benczur
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family name: Benczur
made: Content-Based Trust and Bias Classification via Biclustering
given name: Andras
has affiliation: webquality2012-computer-and-automation-research-institute-hungarian-academy-of-sciences-andras-a-benczur
member: webquality2012-computer-and-automation-research-institute-hungarian-academy-of-sciences-andras-a-benczur
type: Thing
type: Object
holds role: webquality2012-programme-committee-member-andras-a-benczur

Andrew Flanagin
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given name: Andrew
member: webquality2012-ucsb-andrew-flanagin
has affiliation: webquality2012-ucsb-andrew-flanagin
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family name: Flanagin
name: Andrew Flanagin
type: Agent

Game-theoretic Models of Web Credibility
maker: Paulina Adamska
keyword: incentives
subject: incentives
keyword: evolution
is part of: proceedings
creator: Thanasis Papaioannou
type: InformationObject
maker: Thanasis Papaioannou
type: ProceedingsPaper
creator: Paulina Adamska
type: SocialObject
subject: equilibrium
abstract: Research on Web credibility assessment can significantly benefit from new models that are better suited for evaluation and study of adversary strategies. Currently employed models lack several important aspects, such as the explicit modeling of Web content properties (e.g. presentation quality), the user economic incentives and assessment capabilities. In this paper, we introduce a new, game-theoretic model of credibility, referred to as the Credibility Game. We perform equilibrium and stability analysis of a simple variant of the game and then study it as a signaling game against naive and expert information consumers. By a generic economic model of the player payoffs, we study, via simulation experiments, more complex variants of the Credibility Game and demonstrate the effect of consumer expertise and of the signal for credibility evaluation on the evolutionary stable strategies of the information producers and consumers.
creator: Katarzyna Abramczuk
author list: authorList
type: Object
subject: rationality
subject: signaling game
subject: evolution
has author list: authorList
type: Thing
creator: Adam Wierzbicki
keyword: signaling game
maker: Adam Wierzbicki
type: InProceedings
maker: Katarzyna Abramczuk
keyword: equilibrium
keyword: rationality
creator: Karl Aberer
maker: Karl Aberer

Luz Rello
family name: Rello
made: On Measuring the Lexical Quality of the Web
given name: Luz
has affiliation: webquality2012-universitat-pompeu-fabra-luz-rello
type: Agent
type: Person
member: webquality2012-universitat-pompeu-fabra-luz-rello
type: Object
type: Thing

University of Hyogo
type: Agent
type: Organization
type: Organisation
type: Thing
type: Object

Paulina Adamska
name: Paulina Adamska
type: Agent
given name: Paulina
has affiliation: webquality2012-polish-japanese-institute-of-information-technology-pjiit-paulina-adamska
type: Object
type: Thing
type: Person
family name: Adamska
member: webquality2012-polish-japanese-institute-of-information-technology-pjiit-paulina-adamska
made: Game-theoretic Models of Web Credibility

Know-Center GmbH
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type: Object
type: Agent
type: Organization
type: Organisation

Georgia Institute of Technology
type: Agent
type: Organisation
name: Georgia Institute of Technology
type: Object
type: Organization
type: Thing

Zhiyuan Cheng
given name: Zhiyuan
member: webquality2012-texas-am-university-zhiyuan-cheng
type: Thing
type: Person
type: Agent
family name: Cheng
has affiliation: webquality2012-texas-am-university-zhiyuan-cheng
type: Object
made: Detecting Collective Attention Spam

Krishna Kamath
given name: Krishna
type: Object
type: Person
has affiliation: webquality2012-texas-am-university-krishna-kamath
name: Krishna Kamath
type: Agent
family name: Kamath
made: Detecting Collective Attention Spam
member: webquality2012-texas-am-university-krishna-kamath
type: Thing

Dennis Fetterly
member: webquality2012-microsoft-research-dennis-fetterly
name: Dennis Fetterly
type: Agent
has affiliation: webquality2012-microsoft-research-dennis-fetterly
holds role: webquality2012-programme-committee-member-dennis-fetterly
type: Object
family name: Fetterly
type: Thing
type: Person
given name: Dennis

Carlos Castillo
type: Agent
member: webquality2012-yahoo-research-carlos-castillo
type: Thing
family name: Castillo
holds role: webquality2012-programme-chair-carlos-castillo
given name: Carlos
type: Person
has affiliation: webquality2012-yahoo-research-carlos-castillo
type: Object

UC Santa Barbara
type: Object
type: Agent
type: Organisation
type: Thing
type: Organization

Ricardo Baeza-Yates
has affiliation: webquality2012-yahoo-research-ricardo-baeza-yates
type: Person
type: Object
type: Agent
type: Thing
given name: Ricardo
family name: Baeza-Yates
made: On Measuring the Lexical Quality of the Web
member: webquality2012-yahoo-research-ricardo-baeza-yates

Michael Granitzer
family name: Granitzer
given name: Michael
type: Person
type: Agent
made: Measuring the Quality of Web Content using Factual Information
type: Thing
member: webquality2012-university-of-passau-michael-granitzer
has affiliation: webquality2012-university-of-passau-michael-granitzer
type: Object
name: Michael Granitzer

Bálint Daróczy
family name: Daróczy
member: webquality2012-mta-sztaki-budapest-balint-daroczy
type: Person
type: Agent
type: Thing
given name: Bálint
made: Content-Based Trust and Bias Classification via Biclustering
type: Object
has affiliation: webquality2012-mta-sztaki-budapest-balint-daroczy

James Caverlee
type: Thing
type: Object
given name: James
type: Person
family name: Caverlee
has affiliation: webquality2012-texas-am-university-james-caverlee
type: Agent
made: Detecting Collective Attention Spam
holds role: webquality2012-programme-committee-member-james-caverlee
member: webquality2012-texas-am-university-james-caverlee
name: James Caverlee

Yuming Lin
family name: Lin
type: Person
type: Object
member: webquality2012-east-china-normal-university-yuming-lin
made: An Information Theoretic Approach to Sentimental Polarity Classification
name: Yuming Lin
given name: Yuming
has affiliation: webquality2012-east-china-normal-university-yuming-lin
type: Thing
type: Agent