Wikipedia and Its Tensions with Paid Labour
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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. -
Annual Plan for Fiscal Year 2017–2018
Wiki Education Foundation 2017–18 Annual Plan Table of Contents Looking back: 2016–17 Summary of 2016–17 Performance Activities, Goals, and Targets Core Programs Program Support Research and Academic Engagement Revenue, Expenses, and Staffing Looking ahead: the 2017–18 Plan Overview Key Initiatives in 2017–18 Activities, Goals, and Targets Core Programs Program Support Research and Academic Engagement Strategic planning for 2017–2020 Revenue, Expenses, and Staffing Board Resolution Appendix Risks considered in developing the 2017–18 plan 1 Looking back: 2016–17 Summary of 2016–17 Performance 2016–17 has been our third year as an organization. Despite operating on a reduced budget, we were able to significantly increase our programmatic impact in the areas of student learning and adding quality content to Wikipedia. With regards to our mission, the past year has been the most successful to date. At the end of 2016, our Year of Science initiative culminated with more than 6,300 students engaged in improving the English Wikipedia’s underdeveloped science content while improving their writing, information literacy, critical thinking, collaboration, and online communications skills. The science students enrolled in our Classroom Program created 637 articles and improved more than 5,670. These articles have provided more than 300 million Wikipedia readers around the globe with free access to high-quality science information in 2016 alone. During the most active time of the year, we produced almost 6% of all science content on the English Wikipedia. Our Year of Science initiative has been so successful that volunteers in Brazil are gearing up for a similar initiative on the Portuguese Wikipedia in 2018. -
Are Encyclopedias Dead? Evaluating the Usefulness of a Traditional Reference Resource Rachel S
St. Cloud State University theRepository at St. Cloud State Library Faculty Publications Library Services 2012 Are Encyclopedias Dead? Evaluating the Usefulness of a Traditional Reference Resource Rachel S. Wexelbaum St. Cloud State University, [email protected] Follow this and additional works at: https://repository.stcloudstate.edu/lrs_facpubs Part of the Library and Information Science Commons Recommended Citation Wexelbaum, Rachel S., "Are Encyclopedias Dead? Evaluating the Usefulness of a Traditional Reference Resource" (2012). Library Faculty Publications. 26. https://repository.stcloudstate.edu/lrs_facpubs/26 This Article is brought to you for free and open access by the Library Services at theRepository at St. Cloud State. It has been accepted for inclusion in Library Faculty Publications by an authorized administrator of theRepository at St. Cloud State. For more information, please contact [email protected]. Are Encyclopedias Dead? Evaluating the Usefulness of a Traditional Reference Resource Author Rachel Wexelbaum is Collection Management Librarian and Assistant Professor at Saint Cloud State University, Saint Cloud, Minnesota. Contact Details Rachel Wexelbaum Collection Management Librarian MC135D Collections Saint Cloud State University 720 4 th Avenue South Saint Cloud, MN 56301 Email: [email protected] Abstract Purpose – To examine past, current, and future usage of encyclopedias. Design/methodology/approach – Review the history of encyclopedias, their composition, and usage by focusing on select publications covering different subject areas. Findings – Due to their static nature, traditionally published encyclopedias are not always accurate, objective information resources. Intentions of editors and authors also come into question. A researcher may find more value in using encyclopedias as historical documents rather than resources for quick facts. -
The Culture of Wikipedia
Good Faith Collaboration: The Culture of Wikipedia Good Faith Collaboration The Culture of Wikipedia Joseph Michael Reagle Jr. Foreword by Lawrence Lessig The MIT Press, Cambridge, MA. Web edition, Copyright © 2011 by Joseph Michael Reagle Jr. CC-NC-SA 3.0 Purchase at Amazon.com | Barnes and Noble | IndieBound | MIT Press Wikipedia's style of collaborative production has been lauded, lambasted, and satirized. Despite unease over its implications for the character (and quality) of knowledge, Wikipedia has brought us closer than ever to a realization of the centuries-old Author Bio & Research Blog pursuit of a universal encyclopedia. Good Faith Collaboration: The Culture of Wikipedia is a rich ethnographic portrayal of Wikipedia's historical roots, collaborative culture, and much debated legacy. Foreword Preface to the Web Edition Praise for Good Faith Collaboration Preface Extended Table of Contents "Reagle offers a compelling case that Wikipedia's most fascinating and unprecedented aspect isn't the encyclopedia itself — rather, it's the collaborative culture that underpins it: brawling, self-reflexive, funny, serious, and full-tilt committed to the 1. Nazis and Norms project, even if it means setting aside personal differences. Reagle's position as a scholar and a member of the community 2. The Pursuit of the Universal makes him uniquely situated to describe this culture." —Cory Doctorow , Boing Boing Encyclopedia "Reagle provides ample data regarding the everyday practices and cultural norms of the community which collaborates to 3. Good Faith Collaboration produce Wikipedia. His rich research and nuanced appreciation of the complexities of cultural digital media research are 4. The Puzzle of Openness well presented. -
2. the Democratic Turn
DANIEL ARAYA 2. THE DEMOCRATIC TURN Prosumer Innovation and Learning in the Knowledge Economy INTRODUCTION As Eric Von Hippel (2005) has pointed out, the distributed nature of information and communications technologies is enabling an emergent mode of economic production that is best described as “democratic innovation”. Looking at democratic innovation from the perspective of complexity theory, I will suggest that the nature of socioeconomic production is becoming increasingly anchored to “prosumer innovation” networks. Building out from information and communications networks (ICNs), prosumer innovation blurs the boundaries between producers and consumers, joining both categories to broader systems of creative cooperation. This chapter will explore the contours of prosumer innovation and consider its potential for advancing systems of education. Focusing on prosumer innovation as an emergent cultural practice, I will suggest that the democratization of knowledge and learning should be the locus of concern for educational policy-makers over the coming decades. THE DEMOCRATIC TURN: ICNS AND CULTURAL PRODUCTION Over the past quarter century, policy discourse in advanced capitalist countries has increasingly focused on the economic needs associated with the production of knowledge. Unlike the tangible assets linked to the industrial economy- land, labor, capital, and raw materials, the knowledge economy is largely defined by abstract goods such as research, creativity, design, innovation, and learning. For theorists like Alvin Toffler (1990) and Peter Drucker (1993), the knowledge economy represents a socioeconomic shift from labour-intensive “smokestack industries” to “mind work”. Impacting the global economy in varied ways, knowledge and innovation are becoming central to commercial production. From network-driven business services and automated production systems, to complex engineering and just-in- time manufacturing, the knowledge economy is characterized as a new mode of capitalist production (Castells 1996; Womack et al., 1991). -
An Analysis of Contributions to Wikipedia from Tor
Are anonymity-seekers just like everybody else? An analysis of contributions to Wikipedia from Tor Chau Tran Kaylea Champion Andrea Forte Department of Computer Science & Engineering Department of Communication College of Computing & Informatics New York University University of Washington Drexel University New York, USA Seatle, USA Philadelphia, USA [email protected] [email protected] [email protected] Benjamin Mako Hill Rachel Greenstadt Department of Communication Department of Computer Science & Engineering University of Washington New York University Seatle, USA New York, USA [email protected] [email protected] Abstract—User-generated content sites routinely block contri- butions from users of privacy-enhancing proxies like Tor because of a perception that proxies are a source of vandalism, spam, and abuse. Although these blocks might be effective, collateral damage in the form of unrealized valuable contributions from anonymity seekers is invisible. One of the largest and most important user-generated content sites, Wikipedia, has attempted to block contributions from Tor users since as early as 2005. We demonstrate that these blocks have been imperfect and that thousands of attempts to edit on Wikipedia through Tor have been successful. We draw upon several data sources and analytical techniques to measure and describe the history of Tor editing on Wikipedia over time and to compare contributions from Tor users to those from other groups of Wikipedia users. Fig. 1. Screenshot of the page a user is shown when they attempt to edit the Our analysis suggests that although Tor users who slip through Wikipedia article on “Privacy” while using Tor. Wikipedia’s ban contribute content that is more likely to be reverted and to revert others, their contributions are otherwise similar in quality to those from other unregistered participants and to the initial contributions of registered users. -
QUARTERLY CHECK-IN Technology (Services) TECH GOAL QUADRANT
QUARTERLY CHECK-IN Technology (Services) TECH GOAL QUADRANT C Features that we build to improve our technology A Foundation level goals offering B Features we build for others D Modernization, renewal and tech debt goals The goals in each team pack are annotated using this scheme illustrate the broad trends in our priorities Agenda ● CTO Team ● Research and Data ● Design Research ● Performance ● Release Engineering ● Security ● Technical Operations Photos (left to right) Technology (Services) CTO July 2017 quarterly check-in All content is © Wikimedia Foundation & available under CC BY-SA 4.0, unless noted otherwise. CTO Team ● Victoria Coleman - Chief Technology Officer ● Joel Aufrecht - Program Manager (Technology) ● Lani Goto - Project Assistant ● Megan Neisler - Senior Project Coordinator ● Sarah Rodlund - Senior Project Coordinator ● Kevin Smith - Program Manager (Engineering) Photos (left to right) CHECK IN TEAM/DEPT PROGRAM WIKIMEDIA FOUNDATION July 2017 CTO 4.5 [LINK] ANNUAL PLAN GOAL: expand and strengthen our technical communities What is your objective / Who are you working with? What impact / deliverables are you expecting? workflow? Program 4: Technical LAST QUARTER community building (none) Outcome 5: Organize Wikimedia Developer Summit NEXT QUARTER Objective 1: Developer Technical Collaboration Decide on event location, dates, theme, deadlines, etc. Summit web page and publicize the information published four months before the event (B) STATUS: OBJECTIVE IN PROGRESS Technology (Services) Research and Data July, 2017 quarterly -
Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language
JOURNAL OF MEDICAL INTERNET RESEARCH Heilman & West Original Paper Wikipedia and Medicine: Quantifying Readership, Editors, and the Significance of Natural Language James M Heilman1, BSc, MD, CCFP(EM); Andrew G West2, PhD, MS Eng 1Faculty of Medicine, Department of Emergency Medicine, University of British Columbia, Vancouver, BC, Canada 2Verisign Labs (Verisign, Inc.), Reston, VA, United States Corresponding Author: James M Heilman, BSc, MD, CCFP(EM) Faculty of Medicine Department of Emergency Medicine University of British Columbia 2194 Health Sciences Mall, Unit 317 Vancouver, BC, V6T1Z3 Canada Phone: 1 4158306381 Fax: 1 6048226061 Email: [email protected] Abstract Background: Wikipedia is a collaboratively edited encyclopedia. One of the most popular websites on the Internet, it is known to be a frequently used source of health care information by both professionals and the lay public. Objective: This paper quantifies the production and consumption of Wikipedia's medical content along 4 dimensions. First, we measured the amount of medical content in both articles and bytes and, second, the citations that supported that content. Third, we analyzed the medical readership against that of other health care websites between Wikipedia's natural language editions and its relationship with disease prevalence. Fourth, we surveyed the quantity/characteristics of Wikipedia's medical contributors, including year-over-year participation trends and editor demographics. Methods: Using a well-defined categorization infrastructure, we identified medically pertinent English-language Wikipedia articles and links to their foreign language equivalents. With these, Wikipedia can be queried to produce metadata and full texts for entire article histories. Wikipedia also makes available hourly reports that aggregate reader traffic at per-article granularity. -
The Future of the Internet and How to Stop It the Harvard Community Has
The Future of the Internet and How to Stop It The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters. Jonathan L. Zittrain, The Future of the Internet -- And How to Citation Stop It (Yale University Press & Penguin UK 2008). Published Version http://futureoftheinternet.org/ Accessed July 1, 2016 4:22:42 AM EDT Citable Link http://nrs.harvard.edu/urn-3:HUL.InstRepos:4455262 This article was downloaded from Harvard University's DASH Terms of Use repository, and is made available under the terms and conditions applicable to Other Posted Material, as set forth at http://nrs.harvard.edu/urn-3:HUL.InstRepos:dash.current.terms- of-use#LAA (Article begins on next page) YD8852.i-x 1/20/09 1:59 PM Page i The Future of the Internet— And How to Stop It YD8852.i-x 1/20/09 1:59 PM Page ii YD8852.i-x 1/20/09 1:59 PM Page iii The Future of the Internet And How to Stop It Jonathan Zittrain With a New Foreword by Lawrence Lessig and a New Preface by the Author Yale University Press New Haven & London YD8852.i-x 1/20/09 1:59 PM Page iv A Caravan book. For more information, visit www.caravanbooks.org. The cover was designed by Ivo van der Ent, based on his winning entry of an open competition at www.worth1000.com. Copyright © 2008 by Jonathan Zittrain. All rights reserved. Preface to the Paperback Edition copyright © Jonathan Zittrain 2008. Subject to the exception immediately following, this book may not be reproduced, in whole or in part, including illustrations, in any form (beyond that copying permitted by Sections 107 and 108 of the U.S. -
After Convergence: Youtube and Remix Culture
After Convergence: YouTube and Remix Culture Anders Fagerjord Beyond Convergence In little more than a year, from November 2005 to the autumn of 2006, YouTube became a new media phenomenon. This library of videos uploaded from millions of users is one of the best examples of the complex matrix of new media that are described as convergence (Walther, 2005), convergence culture (Jenkins, 2006) and Web 2.0. (Musser & O’Reilly, 2007). It is complex because the content is unpre- dictable. On YouTube, there are lots of recordings from TV shows and films old and new. Amateur videos of stunts, fiction, parodies and pastiches abound. Professional recordings attempt to market products and artists famous and would-be famous. Regular people put up diary-like recordings of speaking into a camera. Politicians cry for attention in more or less convincing talks, “viral marketing” tries to disguise its commercial message, and fictional diaries pretend to be real. And the declining genre of the music video has found a new life online (Austerlitz, 2007). YouTube is not just a web phenomenon; it is in open contest with broadcast TV. TV shows look to YouTube for newsworthy or entertaining material. As MediaCentre PCs and AppleTVs occupy the place of the TV set and mobile phones are ready to show you YouTube videos wherever you are, YouTube promises to follow you everywhere. YouTube seems to me to be a good example to discuss modern online media with, but first, we need to back up a little. When Nicholas Negroponte resigned from his column in Wired Magazine in 1998, he had written for 6 years about new media technology, and his ideas of what the future will bring. -
Academic Research About the Reliability of Wikipedia.Odp
Academic research about the reliability of Wikipedia 台灣維基人冬聚 Taipei, January 7, 2012 T. Bayer Perspective of this talk ● About myself: – Wikipedian since 2003 (User:HaeB on de:, en:) – Editor of The Signpost on en:, 2010-11 – Working for the Foundation since July 2011 (contractor, supporting movement communications) – Editor of the Wikimedia Research Newsletter (together with WMF research analyst Dario Taraborelli): Monthly survey on recent academic research about Wikipedia Reliability of Wikipedia ● Standard criticism: “Wikipedia is not reliable because anyone can edit” – … is fallacious: ● Yes, one traditional quality control method (restrict who can write) is totally missing ● But there is a new quality control method: Anyone can correct mistakes ● But does the new method work? ● Need to examine the content, not the process that leads to it Anecdotes vs. systematic studies ● Seigenthaler scandal (2005, vandalism in biography article). Public opinion problem: Unusual, extreme cases are more newsworthy and memorable – and because of “anyone can edit”, these tend to be negative for WP. ● Scientists are trained not to rely on anecdotes: The 2005 Nature study ● “first [study] to use peer review to compare Wiki- pedia and Britannica’s coverage of science” ● 42 reviews by experts ● Errors per article: Wikipedia 4 , Britannica 3 ● Britannica protested, Nature stood by it ● 6 years later, still the most frequently cited study about Wikipedia's reliability ●Brockhaus – “the” German encyclopedia ● “generally regarded as the model for the development of many encyclopaedias in other languages” (Britannica entry “Brockhaus Enzyklopädie”) ● 1796: First edition ● 2005: 21st edition (30 volumes) ● 2009: Editorial staff dismissed, brand sold Stern (news magazine) study, 2007 ● Compared 50 random articles in German Wikipedia and Brockhaus ● Not peer-reviewed, but conducted by experienced research institute ● Wide range of topics ● Wikipedia more accurate: Brockhaus 2.3 vs. -
Detecting Undisclosed Paid Editing in Wikipedia
Detecting Undisclosed Paid Editing in Wikipedia Nikesh Joshi, Francesca Spezzano, Mayson Green, and Elijah Hill Computer Science Department, Boise State University Boise, Idaho, USA [email protected] {nikeshjoshi,maysongreen,elijahhill}@u.boisestate.edu ABSTRACT 1 INTRODUCTION Wikipedia, the free and open-collaboration based online ency- Wikipedia is the free online encyclopedia based on the principle clopedia, has millions of pages that are maintained by thousands of of open collaboration; for the people by the people. Anyone can volunteer editors. As per Wikipedia’s fundamental principles, pages add and edit almost any article or page. However, volunteers should on Wikipedia are written with a neutral point of view and main- follow a set of guidelines when editing Wikipedia. The purpose tained by volunteer editors for free with well-defned guidelines in of Wikipedia is “to provide the public with articles that summa- order to avoid or disclose any confict of interest. However, there rize accepted knowledge, written neutrally and sourced reliably” 1 have been several known incidents where editors intentionally vio- and the encyclopedia should not be considered as a platform for late such guidelines in order to get paid (or even extort money) for advertising and self-promotion. Wikipedia’s guidelines strongly maintaining promotional spam articles without disclosing such. discourage any form of confict-of-interest (COI) editing and require In this paper, we address for the frst time the problem of identi- editors to disclose any COI contribution. Paid editing is a form of fying undisclosed paid articles in Wikipedia. We propose a machine COI editing and refers to editing Wikipedia (in the majority of the learning-based framework using a set of features based on both cases for promotional purposes) in exchange for compensation.