The History of Women in Engineering on Wikipedia
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Report on Requirements for Usage and Reuse Statistics for GLAM Content
Report on Requirements for Usage and Reuse Statistics for GLAM Content Author: Maarten Zeinstra, Kennisland 1/19 Report on Requirements for Usage and Reuse Statistics for GLAM Content 1. Table of Contents 1. Table of Contents 2 2. GLAMTools project 3 3. Executive Summary 4 4. Introduction 5 5. Problem definition 6 6. Current status 7 7. Research overview 8 7.1. Questionnaire 8 7.2. Qualitative research on the technical possibilities of GLAM stats 12 7.3. Research conclusions 13 8. Requirements for usage and reuse statistics for GLAM content 14 8.1. High-level requirements 14 8.2. High-level technical requirements 14 8.3. Medium-level technical requirements 15 8.4. Non-functional requirements 15 8.5. Non-requirements / out of scope 15 8.6. Data model 15 9. Next steps 19 2/19 2. GLAMTools project The “Report on requirements for usage and reuse statistics for GLAM content” is part of the Europeana GLAMTools project, a joint Wikimedia Chapters and Europeana project. The purpose of the project is to develop a scalable and maintainable system for mass uploading (open) content from galleries, libraries, archives and museums (henceforth GLAMs) to Wikimedia Commons and to create GLAM-specific requirements for usage statistics. The GLAMTools project is initiated and made possible by financial support from Wikimedia France, Wikimedia UK, Wikimedia Netherlands, and Wikimedia Switzerland. Maarten Zeinstra from Kennisland wrote the research behind this report and the report itself. Kennisland is a Dutch think tank active in the cultural sector, working especially with open content, dissemination of cultural heritage and copyright law and is also a partner in the project. -
Brion Vibber 2011-08-05 Haifa Part I: Editing So Pretty!
Editing 2.0 MediaWiki's upcoming visual editor and the future of templates Brion Vibber 2011-08-05 Haifa Part I: Editing So pretty! Wikipedia articles can include rich formatting, beyond simple links and images to complex templates to generate tables, pronunciation guides, and all sorts of details. So icky! But when you push that “edit” button, you often come face to face with a giant blob of markup that’s very hard to read. Here we can’t even see the first paragraph of the article until we scroll past several pages of infobox setup. Even fairly straightforward paragraphs start to blur together when you break out the source. The markup is often non-obvious; features that are clearly visible in the rendered view like links and images don’t stand out in the source view, and long inline citations and such can make it harder to find the actual body text you wanted to edit. RTL WTF? As many of you here today will be well aware, the way our markup displays in a raw text editor can also be really problematic for right-to-left scripts like Hebrew and Arabic. It’s very easy to get lost about whether you’ve opened or closed some tag, or whether your list item is starting at the beginning of a line. Without control over the individual pieces, we can’t give any hints to the text editor. RTL A-OK The same text rendered as structured HTML doesn’t have these problems; bullets stay on the right side of their text, and reference citations are distinct entities. -
Genedb and Wikidata[Version 1; Peer Review: 1 Approved, 1 Approved with Reservations]
Wellcome Open Research 2019, 4:114 Last updated: 20 OCT 2020 SOFTWARE TOOL ARTICLE GeneDB and Wikidata [version 1; peer review: 1 approved, 1 approved with reservations] Magnus Manske , Ulrike Böhme , Christoph Püthe , Matt Berriman Parasites and Microbes, Wellcome Trust Sanger Institute, Cambridge, CB10 1SA, UK v1 First published: 01 Aug 2019, 4:114 Open Peer Review https://doi.org/10.12688/wellcomeopenres.15355.1 Latest published: 14 Oct 2019, 4:114 https://doi.org/10.12688/wellcomeopenres.15355.2 Reviewer Status Abstract Invited Reviewers Publishing authoritative genomic annotation data, keeping it up to date, linking it to related information, and allowing community 1 2 annotation is difficult and hard to support with limited resources. Here, we show how importing GeneDB annotation data into Wikidata version 2 allows for leveraging existing resources, integrating volunteer and (revision) report report scientific communities, and enriching the original information. 14 Oct 2019 Keywords GeneDB, Wikidata, MediaWiki, Wikibase, genome, reference, version 1 annotation, curation 01 Aug 2019 report report 1. Sebastian Burgstaller-Muehlbacher , This article is included in the Wellcome Sanger Medical University of Vienna, Vienna, Austria Institute gateway. 2. Andra Waagmeester , Micelio, Antwerp, Belgium Any reports and responses or comments on the article can be found at the end of the article. Corresponding author: Magnus Manske ([email protected]) Author roles: Manske M: Conceptualization, Methodology, Software, Writing – Original Draft Preparation; Böhme U: Data Curation, Validation, Writing – Review & Editing; Püthe C: Project Administration, Writing – Review & Editing; Berriman M: Resources, Writing – Review & Editing Competing interests: No competing interests were disclosed. Grant information: This work was supported by the Wellcome Trust through a Biomedical Resources Grant to MB [108443]. -
Wikimedia and Universities | Martin Poulter and Nick Sheppard
Insights – 33, 2020 Wikimedia and universities | Martin Poulter and Nick Sheppard Wikimedia and universities: contributing to the global commons in the Age of Disinformation In its first 30 years the world wide web has revolutionized the information environment. However, its impact has been negative as well as positive, through corporate misuse of personal data and due to its potential for enabling the spread of disinformation. As a large-scale collaborative platform funded through charitable donations, with a mission to provide universal free access to knowledge as a public good, Wikipedia is one of the most popular websites in the world. This paper explores the role of Wikipedia in the information ecosystem where it occupies a unique role as a bridge between informal discussion and scholarly publication. We explore how it relates to the broader Wikimedia ecosystem, through structured data on Wikidata for instance, and openly licensed media on Wikimedia Commons. We consider the potential benefits for universities in the areas of information literacy and research impact, and investigate the extent to which universities in the UK and their libraries are engaging strategically with Wikimedia, if at all. Keywords Wikipedia; Wikimedia; Wikidata; information literacy; research impact; strategy MARTIN POULTER NICK SHEPPARD Open Research Website Editor and Advisor Technical Developer University of Leeds University of Bristol Introduction ‘The original idea of the web was that it should be a collaborative space … by writing something together [people] could iron out misunderstanding.’ Tim Berners-Lee1 The world wide web has both fulfilled and fallen short of its early promise. Its impact on how we access and share information has been revolutionary. -
The History of Mediawiki and the Prospective for the Future
The history of MediaWiki and the prospective for the future Bern, 2017-02-04 Magnus Manske https://commons.wikimedia.org/wiki/File:MediaWiki_talk,_Bern,_2017-02-04,_Magnus_Manske.pdf Overview ● History of MediaWiki, with a focus on Wikimedia ● Usage, extensions and scripts ● Wikidata ● Of course, a few tools Pre-history UseModWiki by Ward Cunningham ● Single file Perl script ● All data stored in file system ● Does not scale well ● No “special pages” beyond Recent Changes ● Default: delete revisions older than two weeks, to save disk space… ● Used for Wikipedia since 2001-01 Phase 2 ● Mea maxima culpa ● Switch on 2002-01-25 ● PHP (for better or worse) ● Using MySQL to store data ● Based on UseModWiki syntax for backwards compatibility Brion Vibber Photo by JayWalsh CC-BY-SA 3.0 Tim Starling Photo by Lane Hartwell Nostalgia Wikipedia screenshot CC-BY-SA 3.0 Phase 3 / MediaWiki ● Massive refactoring/rewrite by Lee Daniel Crocker ● Proper OO, profiling functions ● Known as “Phase 3”, subsequently renamed “MediaWiki” (July 2003) Lee Daniel Crocker Picture by User:Cowtung, CC-BY-SA 3.0 New features since UseModWiki (for Wikipedia) ● Namespaces ● Special Pages with advanced functionality ● Skins ● Local (later: Commons) file upload ● Categories ● Templates ● Parser functions ● Table syntax ● Media viewer ● Visual editor ● Kartograph MediaWiki today ● Most widely used Wiki software ● Over 2,200 extensions ● Customizable via JavaScript gadgets and user scripts ● Comprehensive API Multiple caching mechanisms for large installations (e.g. Wikipedia) -
Addressing the Challenges and Opportunities of a Feminist Rhetorical Approach for Wikipedia-Based Writing Instruction in First-Year Composition
2/4/2021 CF 45: A Feminist Rhetorical Approach for Wikipedia-based Writing Instruction by Jialei Jiang and Matthew A. Vetter Composition Forum 45, Fall 2020 http://compositionforum.com/issue/45/ Addressing the Challenges and Opportunities of a Feminist Rhetorical Approach for Wikipedia-based Writing Instruction in First-Year Composition [http://www.addthis.com/bookmark.php?v=250&username=compforum] Jialei Jiang and Matthew A. Vetter Abstract: Wikipedia’s gender gaps are both well-established and well-challenged, and while Wikipedia- based assignments have become more common in composition, teacher-scholars have not fully explored the opportunities for feminist pedagogy offered by the encyclopedia. This article reports on a teacher research study designed to examine the efficacy of the feminist rhetorical approach for understanding critical literacy learning through Wikipedia-based assignments in First-Year Composition (FYC). Findings from student forum posts, surveys, and reflection essays suggest that, despite its benefits, the Wikipedia assignment has been met with challenges that hinder students from making contributions critically and effectively, especially as they struggle to assume agency and criticality in the FYC classroom. By identifying and addressing these challenges, we seek to offer alternative approaches to teaching feminist rhetorical inquiries in FYC, and to expand the current critical practices in Wikipedia-based writing instruction. Introduction In what has by now become a widely-cited study, the Wikimedia Foundation found that less than 10% of Wikipedia editors identify as women, and less than 1% as transgender (Glott et al.). The encyclopedia that “anyone can edit,” according to this research, is primarily edited by an overwhelmingly male demographic. -
Why Wikipedia Often Overlooks Stories of Women in History Lara Nicosia Rochester Institute of Technology
Rochester Institute of Technology RIT Scholar Works Articles 3-16-2018 Why Wikipedia Often Overlooks Stories of Women in History Lara Nicosia Rochester Institute of Technology Tamar Carroll Rochester Institute of Technology This work is licensed under a Creative Commons Attribution-No Derivative Works 4.0 License. Follow this and additional works at: http://scholarworks.rit.edu/article Part of the History of Gender Commons, and the Information Literacy Commons Recommended Citation Nicosia, Lara and Carroll, Tamar, "Why Wikipedia Often Overlooks Stories of Women in History" (2018). The Conversation,Accessed from http://scholarworks.rit.edu/article/1847 This Article is brought to you for free and open access by RIT Scholar Works. It has been accepted for inclusion in Articles by an authorized administrator of RIT Scholar Works. For more information, please contact [email protected]. https://theconversation.com/why-wikipedia-often-overlooks-stories-of-women-in-history-92555 Academic rigor, journalistic flair Why Wikipedia often overlooks stories of women in history March 16, 2018 6.25am EDT Less than a third of biographical entries on Wikipedia are about women. aradaphotography/shutterstock.com Why Wikipedia often overlooks stories of women in history March 16, 2018 6.25am EDT Movements like #MeToo are drawing increased attention to the systemic discrimination Authors facing women in a range of professional fields, from Hollywood and journalism to banking and government. Discrimination is also a problem on user-driven sites like Wikipedia. Wikipedia is the fifth most popular website worldwide. In January, the English-language version of the online Tamar Carroll Associate Professor of History, Rochester encyclopedia had over 7.3 billion page views, more than 2000 percent higher than other Institute of Technology online reference sites such as IMDb or Dictionary.com. -
Working-With-Mediawiki-Yaron-Koren.Pdf
Working with MediaWiki Yaron Koren 2 Working with MediaWiki by Yaron Koren Published by WikiWorks Press. Copyright ©2012 by Yaron Koren, except where otherwise noted. Chapter 17, “Semantic Forms”, includes significant content from the Semantic Forms homepage (https://www. mediawiki.org/wiki/Extension:Semantic_Forms), available under the Creative Commons BY-SA 3.0 license. All rights reserved. Library of Congress Control Number: 2012952489 ISBN: 978-0615720302 First edition, second printing: 2014 Ordering information for this book can be found at: http://workingwithmediawiki.com All printing of this book is handled by CreateSpace (https://createspace.com), a subsidiary of Amazon.com. Cover design by Grace Cheong (http://gracecheong.com). Contents 1 About MediaWiki 1 History of MediaWiki . 1 Community and support . 3 Available hosts . 4 2 Setting up MediaWiki 7 The MediaWiki environment . 7 Download . 7 Installing . 8 Setting the logo . 8 Changing the URL structure . 9 Updating MediaWiki . 9 3 Editing in MediaWiki 11 Tabs........................................................... 11 Creating and editing pages . 12 Page history . 14 Page diffs . 15 Undoing . 16 Blocking and rollbacks . 17 Deleting revisions . 17 Moving pages . 18 Deleting pages . 19 Edit conflicts . 20 4 MediaWiki syntax 21 Wikitext . 21 Interwiki links . 26 Including HTML . 26 Templates . 27 3 4 Contents Parser and tag functions . 30 Variables . 33 Behavior switches . 33 5 Content organization 35 Categories . 35 Namespaces . 38 Redirects . 41 Subpages and super-pages . 42 Special pages . 43 6 Communication 45 Talk pages . 45 LiquidThreads . 47 Echo & Flow . 48 Handling reader comments . 48 Chat........................................................... 49 Emailing users . 49 7 Images and files 51 Uploading . 51 Displaying images . 55 Image galleries . -
Wembedder: Wikidata Entity Embedding Web Service
Wembedder: Wikidata entity embedding web service Finn Årup Nielsen Cognitive Systems, DTU Compute Technical University of Denmark Kongens Lyngby, Denmark [email protected] ABSTRACT as the SPARQL-based Wikidata Query Service (WDQS). General I present a web service for querying an embedding of entities in functions for finding related items or generating fixed-length fea- the Wikidata knowledge graph. The embedding is trained on the tures for machine learning are to my knowledge not available. Wikidata dump using Gensim’s Word2Vec implementation and a simple graph walk. A REST API is implemented. Together with There is some research that combines machine learning and Wiki- the Wikidata API the web service exposes a multilingual resource data [9, 14], e.g., Mousselly-Sergieh and Gurevych have presented for over 600’000 Wikidata items and properties. a method for aligning Wikidata items with FrameNet based on Wikidata labels and aliases [9]. Keywords Wikidata, embedding, RDF, web service. Property suggestion is running live in the Wikidata editing inter- face, where it helps editors recall appropriate properties for items during manual editing, and as such a form of recommender sys- 1. INTRODUCTION tem. Researchers have investigated various methods for this pro- The Word2Vec model [7] spawned an interest in dense word repre- cess [17]. sentation in a low-dimensional space, and there are now a consider- 1 able number of “2vec” models beyond the word level. One recent Scholia at https://tools.wmflabs.org/scholia/ is avenue of research in the “2vec” domain uses knowledge graphs our web service that presents scholarly profiles based on data in [13]. -
Browsing Dbpedia Entities with Summaries
Browsing DBpedia Entities with Summaries Andreas Thalhammer and Achim Rettinger AIFB, Karlsruhe Institute of Technology fthalhammer, [email protected] Abstract. The term \Linked Data" describes online-retrievable formal descriptions of entities and their links to each other. Machines and hu- mans alike can retrieve these descriptions and discover information about links to other entities. However, for human users it becomes difficult to browse descriptions of single entities because, in many cases, they are referenced in more than a thousand statements. In this demo paper we present summarum, a system that ranks triples and enables entity summaries for improved navigation within Linked Data. In its current implementation, the system focuses on DBpedia with the summaries being based on the PageRank scores of the involved entities. Keywords: entity summarization, DBpedia, linked data, statement rank- ing 1 Introduction The goal of the Linked Data movement is to enrich the Web with structured data. While the formal nature of these knowledge descriptions targets machines as immediate consumers, the final product is typically consumed by humans. Examples like Wikipedia Infoboxes show that, in many cases, next to textual descriptions users also want to browse structured data in order to get a quick overview about common or main facts of a data object. However, state-of-the-art interfaces like the one of DBpedia deliver all known facts about an entity in a single Web page. Often, the first thing users see when browsing a DBpedia entity are the values of dbpedia-owl:abstract in ten different languages. As a first attempt to overcome this issue, we introduce summarum, a system that ranks triples in accordance to popularity and enables entity summaries for improved navigation within Linked Data. -
Robots.Txt: an Ethnographic Investigation of Automated Software Agents in User-Generated Content Platforms
robots.txt: An Ethnographic Investigation of Automated Software Agents in User-Generated Content Platforms By Richard Stuart Geiger II A dissertation submitted in partial satisfaction of the requirements for the degree of Doctor of Philosophy In Information Management and Systems and the Designated Emphasis in New Media in the Graduate Division of the University of California, Berkeley Committee in charge: Professor Jenna Burrell, Chair Professor Coye Cheshire Professor Paul Duguid Professor Eric Paulos Fall 2015 robots.txt: An Ethnographic Investigation of Automated Software Agents in User-Generated Content Platforms © 2015 by Richard Stuart Geiger II Freely licensed under the Creative Commons Attribution-ShareAlike 4.0 License (License text at https://creativecommons.org/licenses/by-sa/4.0/) Abstract robots.txt: An Ethnographic Investigation of Automated Software Agents in User-Generated Content Platforms by Richard Stuart Geiger II Doctor of Philosophy in Information Management and Systems with a Designated Emphasis in New Media University of California, Berkeley Professor Jenna Burrell, Chair This dissertation investigates the roles of automated software agents in two user-generated content platforms: Wikipedia and Twitter. I analyze ‘bots’ as an emergent form of sociotechnical governance, raising many issues about how code intersects with community. My research took an ethnographic approach to understanding how participation and governance operates in these two sites, including participant-observation in everyday use of the sites and in developing ‘bots’ that were delegated work. I also took a historical and case studies approach, exploring the development of bots in Wikipedia and Twitter. This dissertation represents an approach I term algorithms-in-the-making, which extends the lessons of scholars in the field of science and technology studies to this novel domain. -
Writing Women in Mathematics Into Wikipedia
Writing Women in Mathematics into Wikipedia Marie A. Vitulli University of Oregon Eugene, OR 97403-1222 October 20, 2017 Abstract In this article I reflect upon the problemsconnected with writing women in mathematics into Wikipedia. I discuss some of the current projects and efforts aimed at increasing the visibility of women in mathe- matics on Wikipedia. I present the rules for creating a biography on Wikipedia and relate my personal experiences in creating such articles. I hope to provide the reader with the background and resources to start editing existing Wikipedia articles and the confidence to create new articles. I would also like to encourage existing editors to look out for and protect new articles about women mathematicians and submit new articles. 1 Introduction The twin problems of the paucity of women subjects and scarcity of women editors on Wikipedia are well known but no solutions are on the horizon. We can nevertheless take small steps to address these problems. In response to my concerns about these problems and in order to gain first-hand experience, I became a Wikipedia editor in 2013. In this article I will update and expand upon my article Writing Women in Mathematics into Wikipedia, which appeared in the May–June 2014 issue of the Association for Women in Mathematics Newsletter [8]. Since 2013 some things have improved on Wikipedia and others have remained more or less the same. I will first report on these and then relate some of my personal experiences as a Wikipedia editor. Briefly, this is how this article is organized.