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Content Categorization for Contextual Advertising Using Wikipedia
Content Categorization for Contextual Advertising Using Wikipedia Ingrid Grønlie Guren August 2, 2015 Content Categorization for Contextual Advertising Using Wikipedia Ingrid Grønlie Guren August 2, 2015 ii Abstract Automatic categorization of content is an important functionality in online ad- vertising and automated content recommendations, both for ensuring contextual relevancy of placements and for building up behavioral profiles for users that consume the content. Within the advertising domain, the taxonomy tree that content is classified into is defined with some commercial application in mind to somehow reflect the advertising platform’s ad inventory. The nature of the ad inventory and the language of the content might vary across brokers (i.e., the operator of the advertising platform), so it was of interest to develop a system that can easily bootstrap the development of a well-working classifier. We developed a dictionary-based classifier based on titles from Wikipedia articles where the titles represent entries in the dictionary. The idea of the dictionary-based classifier is so simple that it can be understood by users of the program, also those who lack technical experience. Further, it has the ad- vantage that its users easily can expand the dictionary with desirable words for specific advertisement purposes. The process of creating the classifier includes a processing of all Wikipedia article titles to a form more likely to occur in docu- ments, before each entry is graded to their most describing Wikipedia category path. The Wikipedia category paths are further mapped to categories based on the taxonomy of Interactive Advertising Bureau (IAB), which are categories relevant for advertising. -
D2.8 GLAM-Wiki Collaboration Progress Report 2
Project Acronym: Europeana Sounds Grant Agreement no: 620591 Project Title: Europeana Sounds D2.8 GLAM-Wiki Collaboration Progress Report 2 Revision: Final Date: 30/11/2016 Authors: Brigitte Jansen and Harry van Biessum, NISV Abstract: Within the Europeana Sounds GLAM-wiki collaboration task, nine edit-a-thons were organised by seven project partners. These edit-a-thons were held in Italy, Denmark, Latvia, England, Greece, France and the Netherlands. This report documents each event, the outcomes and lessons learned during this task. Dissemination level Public X Confidential, only for the members of the Consortium and Commission Services Coordinated by the British Library, the Europeana Sounds project is co-funded by the European Union, through the ICT Policy Support Programme as part of the Competitiveness and Innovation Framework Programme (CIP) http://ec.europa.eu/information_society/activities/ict_psp/ Europeana Sounds EC-GA 620591 EuropeanaSounds-D2.8-GLAM-wiki-collaboration-progress-report-2-v1.0.docx 30/11/2016 PUBLIC Revision history Version Status Name, organisation Date Changes 0.1 ToC Brigitte Jansen & Harry 14/10/2016 van Biessum, NISV 0.2 Draft Brigitte Jansen & Harry 04/11/2016 First draft van Biessum, NISV 0.3 Draft Zane Grosa, NLL 09/10/2016 Chapter 3.5 0.4 Draft Laura Miles, BL 15/11/2016 Chapters 3.4, 3.8, 5.1, 7 0.5 Draft Karen Williams, State 17/11/2016 Chapters 3.9, 7 and University Library Denmark 0.6 Draft Marianna Anastasiou, 17/11/2016 Chapter 3.6 FMS 0.7 Draft Brigitte Jansen, Maarten 18/11/2016 Incorporating feedback by Brinkerink & Harry van reviewer and Europeana Biessum, NISV Sounds partner 0.8 Draft David Haskiya, EF 28/11/2016 Added Chapter 3.2.2 0.9 Final draft Maarten Brinkerink & 28/11/2016 Finalise all chapters Harry van Biessum, NISV 1.0 Final Laura Miles & Richard 30/11/2016 Layout, minor changes Ranft, BL Review and approval Action Name, organisation Date Sindy Meijer, Wikimedia Chapter Netherland 16/11/2016 Reviewed by Liam Wyatt, EF 24/11/2016 Approved by Coordinator and PMB 30/11/2016 Distribution No. -
Complete Issue
Culture Unbound: Journal of Current Cultural Research Thematic Section: Changing Orders of Knowledge? Encyclopedias in Transition Edited by Jutta Haider & Olof Sundin Extraction from Volume 6, 2014 Linköping University Electronic Press Culture Unbound: ISSN 2000-1525 (online) URL: http://www.cultureunbound.ep.liu.se/ © 2014 The Authors. Culture Unbound, Extraction from Volume 6, 2014 Thematic Section: Changing Orders of Knowledge? Encyclopedias in Transition Jutta Haider & Olof Sundin Introduction: Changing Orders of Knowledge? Encyclopaedias in Transition ................................ 475 Katharine Schopflin What do we Think an Encyclopaedia is? ........................................................................................... 483 Seth Rudy Knowledge and the Systematic Reader: The Past and Present of Encyclopedic Reading .............................................................................................................................................. 505 Siv Frøydis Berg & Tore Rem Knowledge for Sale: Norwegian Encyclopaedias in the Marketplace .............................................. 527 Vanessa Aliniaina Rasoamampianina Reviewing Encyclopaedia Authority .................................................................................................. 547 Ulrike Spree How readers Shape the Content of an Encyclopedia: A Case Study Comparing the German Meyers Konversationslexikon (1885-1890) with Wikipedia (2002-2013) ........................... 569 Kim Osman The Free Encyclopaedia that Anyone can Edit: The -
The Case of 13 Wikipedia Instances
Interaction Design and Architecture(s) Journal - IxD&A, N.22, 2014, pp. 34-47 The Impact of Culture On Smart Community Technology: The Case of 13 Wikipedia Instances Zinayida Petrushyna1, Ralf Klamma1, Matthias Jarke1,2 1 Advanced Community Information Systems Group, Information Systems and Databases Chair, RWTH Aachen University, Ahornstrasse 55, 52056 Aachen, Germany 2 Fraunhofer Institute for Applied Information Technology FIT, 53754 St. Augustin, Germany {petrushyna, klamma}@dbis.rwth-aachen.de [email protected] Abstract Smart communities provide technologies for monitoring social behaviors inside communities. The technologies that support knowledge building should consider the cultural background of community members. The studies of the influence of the culture on knowledge building is limited. Just a few works consider digital traces of individuals that they explain using cultural values and beliefs. In this work, we analyze 13 Wikipedia instances where users with different cultural background build knowledge in different ways. We compare edits of users. Using social network analysis we build and analyze co- authorship networks and watch the networks evolution. We explain the differences we have found using Hofstede dimensions and Schwartz cultural values and discuss implications for the design of smart community technologies. Our findings provide insights in requirements for technologies used for smart communities in different cultures. Keywords: Social network analysis, Wikipedia communities, Hofstede dimensions, Schwartz cultural values 1 Introduction People prefer to leave in smart cities where their needs are satisfied [1]. The development of smart cities depends on the collaboration of individuals. The investigation of the flow [1] of knowledge created by the individuals allows the monitoring of city smartness. -
Strengthening and Unifying the Visual Identity of Wikimedia Projects: a Step Towards Maturity
Strengthening and unifying the visual identity of Wikimedia projects: a step towards maturity Guillaume Paumier∗ Elisabeth Bauer [[m:User:guillom]] [[m:User:Elian]] Abstract In January 2007, the Wikimedian community celebrated the sixth birthday of Wikipedia. Six years of constant evolution have now led to Wikipedia being one of the most visited websites in the world. Other projects developing free content and supported by the Wikimedia Foundation have been expanding rapidly too. The Foundation and its projects are now facing some communication issues due to the difference of scale between the human and financial resources of the Foundation and the success of its projects. In this paper, we identify critical issues in terms of visual identity and marketing. We evaluate the situation and propose several changes, including a redesign of the default website interface. Introduction The first Wikipedia project was created in January 2001. In these days, the technical infrastructure was provided by Bomis, a dot-com company. In June 2003, Jimmy Wales, founder of Wikipedia and owner of Bomis, created the Wikimedia Foundation [1] to provide a long-term administrative and technical structure dedicated to free content. Since these days, both the projects and the Foundation have been evolving. New projects have been created. All have grown at different rates. Some have got more fame than the others. New financial, technical and communication challenges have risen. In this paper, we will first identify some of these challenges and issues in terms of global visual identity. We will then analyse logos, website layouts, projects names, trademarks so as to provide some hindsight. -
Wikipedia Data Analysis
Wikipedia data analysis. Introduction and practical examples Felipe Ortega June 29, 2012 Abstract This document offers a gentle and accessible introduction to conduct quantitative analysis with Wikipedia data. The large size of many Wikipedia communities, the fact that (for many languages) the already account for more than a decade of activity and the precise level of detail of records accounting for this activity represent an unparalleled opportunity for researchers to conduct interesting studies for a wide variety of scientific disciplines. The focus of this introductory guide is on data retrieval and data preparation. Many re- search works have explained in detail numerous examples of Wikipedia data analysis, includ- ing numerical and graphical results. However, in many cases very little attention is paid to explain the data sources that were used in these studies, how these data were prepared before the analysis and additional information that is also available to extend the analysis in future studies. This is rather unfortunate since, in general, data retrieval and data preparation usu- ally consumes no less than 75% of the whole time devoted to quantitative analysis, specially in very large datasets. As a result, the main goal of this document is to fill in this gap, providing detailed de- scriptions of available data sources in Wikipedia, and practical methods and tools to prepare these data for the analysis. This is the focus of the first part, dealing with data retrieval and preparation. It also presents an overview of useful existing tools and frameworks to facilitate this process. The second part includes a description of a general methodology to undertake quantitative analysis with Wikipedia data, and open source tools that can serve as building blocks for researchers to implement their own analysis process. -
A Systematic Review of Scholarly Research on the Content of Wikipedia
“The sum of all human knowledge”: A systematic review of scholarly research on the content of Wikipedia Mostafa Mesgari John Molson School of Business, Concordia University, Montreal, Canada [email protected] Chitu Okoli John Molson School of Business, Concordia University, Montreal, Canada [email protected] Mohamad Mehdi Computer Science, Concordia University, Montreal, Canada [email protected] Finn Årup Nielsen DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark [email protected] Arto Lanamäki Department of Information Processing Science, University of Oulu, Oulu, Finland [email protected] This is a postprint of an article accepted for publication in Journal of the American Society for Information Science and Technology copyright © 2014 (American Society for Information Science and Technology). The paper can be cited as: Mesgari, Mostafa, Chitu Okoli, Mohamad Mehdi, Finn Årup Nielsen and Arto Lanamäki (2014). “The sum of all human knowledge”: A systematic review of scholarly research on the content of Wikipedia. Journal of the American Society for Information Science and Technology (Forthcoming since April 2014). Abstract Wikipedia might possibly be the best-developed attempt thus far of the enduring quest to gather all human knowledge in one place. Its accomplishments in this regard have made it an irresistible point of inquiry for researchers from various fields of knowledge. A decade of research has thrown light on many aspects of the Wikipedia community, its processes, and content. However, due to the variety of the fields inquiring about Wikipedia and the limited synthesis of the extensive research, there is little consensus on many aspects of Wikipedia’s content as an encyclopedic collection of human knowledge. -
Template for Phd Dissertations
Navigation, findability and the usage of cultural heritage on the web: an exploratory study Fransson, Jonas 2014 Link to publication Citation for published version (APA): Fransson, J. (2014). Navigation, findability and the usage of cultural heritage on the web: an exploratory study. Royal School of Library and Information Science, University of Copenhagen. Total number of authors: 1 General rights Unless other specific re-use rights are stated the following general rights apply: Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal Read more about Creative commons licenses: https://creativecommons.org/licenses/ Take down policy If you believe that this document breaches copyright please contact us providing details, and we will remove access to the work immediately and investigate your claim. LUND UNIVERSITY PO Box 117 221 00 Lund +46 46-222 00 00 Navigation, findability and the usage of cultural heritage on the web: an exploratory study JONAS FRANSSON A B Navigation, findability and the usage of cultural heritage on the web: an exploratory study JONAS FRANSSON PhD thesis from Royal School of Library and Information Science, Denmark C CIP – Cataloguing in Publication Fransson, Jonas Navigation, findability and the usage of cultural heritage on the web: an exploratory study / Jonas Fransson. -
The Tower of Babel Meets Web 2.0: User-Generated Content and Its Applications in a Multilingual Context Brent Hecht* and Darren Gergle*† Northwestern University *Dept
The Tower of Babel Meets Web 2.0: User-Generated Content and Its Applications in a Multilingual Context Brent Hecht* and Darren Gergle*† Northwestern University *Dept. of Electrical Engineering and Computer Science, † Dept. of Communication Studies [email protected], [email protected] ABSTRACT the goal of this research to illustrate the splintering effect of This study explores language’s fragmenting effect on user- this “Web 2.0 Tower of Babel”1 and to explicate the generated content by examining the diversity of knowledge positive and negative implications for HCI and AI-based representations across 25 different Wikipedia language applications that interact with or use Wikipedia data. editions. This diversity is measured at two levels: the concepts that are included in each edition and the ways in We begin by suggesting that current technologies and which these concepts are described. We demonstrate that applications that rely upon Wikipedia data structures the diversity present is greater than has been presumed in implicitly or explicitly espouse a global consensus the literature and has a significant influence on applications hypothesis with respect to the world’s encyclopedic that use Wikipedia as a source of world knowledge. We knowledge. In other words, they make the assumption that close by explicating how knowledge diversity can be encyclopedic world knowledge is largely consistent across beneficially leveraged to create “culturally-aware cultures and languages. To the social scientist this notion applications” and “hyperlingual applications”. will undoubtedly seem problematic, as centuries of work have demonstrated the critical role culture and context play Author Keywords in establishing knowledge diversity (although no work has Wikipedia, knowledge diversity, multilingual, hyperlingual, yet measured this effect in Web 2.0 user-generated content Explicit Semantic Analysis, semantic relatedness (UGC) on a large scale). -
Operationalizing a National Digital Library: the Case for a Norwegian Transformer Model Per E Kummervold Javier De La Rosa [email protected] [email protected]
Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model Per E Kummervold Javier de la Rosa [email protected] [email protected] Freddy Wetjen Svein Arne Brygfjeld [email protected] [email protected] The National Library of Norway Mo i Rana, Norway Abstract (Devlin et al., 2019). Later research has shown that the corpus size might have even been too In this work, we show the process of build- small, and when Facebook released its Robustly ing a large-scale training set from digi- Optimized BERT (RoBERTa), it showed a consid- tal and digitized collections at a national erable gain in performance by increasing the cor- library. The resulting Bidirectional En- pus to 160GB (Liu et al., 2019). coder Representations from Transformers (BERT)-based language model for Nor- Norwegian is spoken by just 5 million peo- wegian outperforms multilingual BERT ple worldwide. The reference publication Ethno- (mBERT) models in several token and se- logue lists the 200 most commonly spoken na- quence classification tasks for both Nor- tive languages, and it places Norwegian as num- wegian Bokmal˚ and Norwegian Nynorsk. ber 171. The Norwegian language has two differ- Our model also improves the mBERT per- ent varieties, both equally recognized as written formance for other languages present in languages: Bokmal˚ and Nynorsk. The number of the corpus such as English, Swedish, and Wikipedia pages written in a certain language is Danish. For languages not included in the often used to measure its prevalence, and in this corpus, the weights degrade moderately regard, Norwegian Bokmal˚ ranges as number 23 while keeping strong multilingual prop- and Nynorsk as number 55. -
Bootstrap Quantification of Estimation Uncertainties in Network Degree Distributions Received: 15 February 2017 Yulia R
www.nature.com/scientificreports OPEN Bootstrap quantification of estimation uncertainties in network degree distributions Received: 15 February 2017 Yulia R. Gel1, Vyacheslav Lyubchich2 & L. Leticia Ramirez Ramirez3 Accepted: 5 June 2017 We propose a new method of nonparametric bootstrap to quantify estimation uncertainties in functions Published: xx xx xxxx of network degree distribution in large ultra sparse networks. Both network degree distribution and network order are assumed to be unknown. The key idea is based on adaptation of the “blocking” argument, developed for bootstrapping of time series and re-tiling of spatial data, to random networks. We first sample a set of multiple ego networks of varying orders that form a patch, or a network block analogue, and then resample the data within patches. To select an optimal patch size, we develop a new computationally efficient and data-driven cross-validation algorithm. The proposed fast patchwork bootstrap (FPB) methodology further extends the ideas for a case of network mean degree, to inference on a degree distribution. In addition, the FPB is substantially less computationally expensive, requires less information on a graph, and is free from nuisance parameters. In our simulation study, we show that the new bootstrap method outperforms competing approaches by providing sharper and better-calibrated confidence intervals for functions of a network degree distribution than other available approaches, including the cases of networks in an ultra sparse regime. We illustrate the FPB in application to collaboration networks in statistics and computer science and to Wikipedia networks. Motivated by a plethora of modern large network applications and rapid advances in computing technologies, the area of network modeling is undergoing a vigorous developmental boom, spreading over numerous disciplines, from computer science to engineering to social and health sciences. -
Global Gender Differences in Wikipedia Readership
Global gender differences in Wikipedia readership Isaac Johnson1, Florian Lemmerich2, Diego Saez-Trumper´ 1, Robert West3, Markus Strohmaier2,4, and Leila Zia1 1Wikimedia Foundation; fi[email protected] 2RWTH Aachen University; fi[email protected] 3EPFL; fi[email protected] 4GESIS - Leibniz Institute for the Social Sciences; fi[email protected] ABSTRACT Wikipedia represents the largest and most popular source of encyclopedic knowledge in the world today, aiming to provide equal access to information worldwide. From a global online survey of 65,031 readers of Wikipedia and their corresponding reading logs, we present novel evidence of gender differences in Wikipedia readership and how they manifest in records of user behavior. More specifically we report that (1) women are underrepresented among readers of Wikipedia, (2) women view fewer pages per reading session than men do, (3) men and women visit Wikipedia for similar reasons, and (4) men and women exhibit specific topical preferences. Our findings lay the foundation for identifying pathways toward knowledge equity in the usage of online encyclopedic knowledge. Equal access to encyclopedic knowledge represents a critical prerequisite for promoting equality more broadly in society and for an open and informed public at large. With almost 54 million articles written by roughly 500,000 monthly editors across more than 160 actively edited languages, Wikipedia is the most important source of encyclopedic knowledge for a global audience, and one of the most important knowledge resources available on the internet. Every month, Wikipedia attracts users on more than 1.5 billion unique devices from across the globe, for a total of more than 15 billion monthly pageviews.1 Data about who is represented in this readership provides unique insight into the accessibility of encyclopedic knowledge worldwide.