Proceedings of the 16Th International Symposium on Open Collaboration
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Proceedings of the 11Th International Symposium on Open Collaboration
Proceedings of the 11th International Symposium on Open Collaboration August 19-21, 2015 San Francisco, California, U.S.A. General chair: Dirk Riehle, Friedrich-Alexander University Erlangen-Nürnberg Research track chairs: Kevin Crowston, Syracuse University Carlos Jensen, Oregon State University Carl Lagoze, University of Michigan Ann Majchrzak, University of Southern California Arvind Malhotra, University of North Carolina at Chapel Hill Claudia Müller-Birn, Freie Universität Berlin Gregorio Robles, Universidad Rey Juan Carlos Aaron Shaw, Northwestern University Sponsors: Wikimedia Foundation Google Inc. University of California Berkeley In-cooperation: ACM SIGSOFT ACM SIGWEB Fiscal sponsor: The John Ernest Foundation The Association for Computing Machinery 2 Penn Plaza, Suite 701 New York New York 10121-0701 ACM COPYRIGHT NOTICE. Copyright © 2014 by the Association for Computing Machin- ery, Inc. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be hon- ored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or [email protected]. For other copying of articles that carry a code at the bottom of the first or last page, copying is permitted provided that the per-copy fee indicated in the code is paid through the Copyright Clearance Center, 222 Rosewood Drive, Danvers, MA 01923, +1-978-750-8400, +1-978-750- 4470 (fax). -
Understanding the Challenges of Collaborative Evidence-Based
Do you have a source for that? Understanding the Challenges of Collaborative Evidence-based Journalism Sheila O’Riordan Gaye Kiely Bill Emerson Joseph Feller Business Information Business Information Business Information Business Information Systems, University Systems, University Systems, University Systems, University College Cork, Ireland College Cork, Ireland College Cork, Ireland College Cork, Ireland [email protected] [email protected] [email protected] [email protected] ABSTRACT consumption has evolved [25]. There has been a move WikiTribune is a pilot news service, where evidence-based towards digital news with increasing user involvement as articles are co-created by professional journalists and a well as the use of social media platforms for accessing and community of volunteers using an open and collaborative discussing current affairs [14,39,43]. As such, the boundaries digital platform. The WikiTribune project is set within an are shifting between professional and amateur contributions. evolving and dynamic media landscape, operating under Traditional news organizations are adding interactive principles of openness and transparency. It combines a features as participatory journalism practices rise (see [8,42]) commercial for-profit business model with an open and the technologies that allow citizens to interact en masse collaborative mode of production with contributions from provide new avenues for engaging in democratic both paid professionals and unpaid volunteers. This deliberation [19]; the “process of reaching reasoned descriptive case study captures the first 12-months of agreement among free and equal citizens” [6:322]. WikiTribune’s operations to understand the challenges and opportunities within this hybrid model of production. We use With these changes, a number of challenges have arisen. -
Using Shape Expressions (Shex) to Share RDF Data Models and to Guide Curation with Rigorous Validation B Katherine Thornton1( ), Harold Solbrig2, Gregory S
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Repositorio Institucional de la Universidad de Oviedo Using Shape Expressions (ShEx) to Share RDF Data Models and to Guide Curation with Rigorous Validation B Katherine Thornton1( ), Harold Solbrig2, Gregory S. Stupp3, Jose Emilio Labra Gayo4, Daniel Mietchen5, Eric Prud’hommeaux6, and Andra Waagmeester7 1 Yale University, New Haven, CT, USA [email protected] 2 Johns Hopkins University, Baltimore, MD, USA [email protected] 3 The Scripps Research Institute, San Diego, CA, USA [email protected] 4 University of Oviedo, Oviedo, Spain [email protected] 5 Data Science Institute, University of Virginia, Charlottesville, VA, USA [email protected] 6 World Wide Web Consortium (W3C), MIT, Cambridge, MA, USA [email protected] 7 Micelio, Antwerpen, Belgium [email protected] Abstract. We discuss Shape Expressions (ShEx), a concise, formal, modeling and validation language for RDF structures. For instance, a Shape Expression could prescribe that subjects in a given RDF graph that fall into the shape “Paper” are expected to have a section called “Abstract”, and any ShEx implementation can confirm whether that is indeed the case for all such subjects within a given graph or subgraph. There are currently five actively maintained ShEx implementations. We discuss how we use the JavaScript, Scala and Python implementa- tions in RDF data validation workflows in distinct, applied contexts. We present examples of how ShEx can be used to model and validate data from two different sources, the domain-specific Fast Healthcare Interop- erability Resources (FHIR) and the domain-generic Wikidata knowledge base, which is the linked database built and maintained by the Wikimedia Foundation as a sister project to Wikipedia. -
Classifying Wikipedia Article Quality with Revision History Networks
Classifying Wikipedia Article Quality With Revision History Networks Narun Raman∗ Nathaniel Sauerberg∗ Carleton College Carleton College [email protected] [email protected] Jonah Fisher Sneha Narayan Carleton College Carleton College [email protected] [email protected] ABSTRACT long been interested in maintaining and investigating the quality We present a novel model for classifying the quality of Wikipedia of its content [4][6][12]. articles based on structural properties of a network representation Editors and WikiProjects typically rely on assessments of article of the article’s revision history. We create revision history networks quality to focus volunteer attention on improving lower quality (an adaptation of Keegan et. al’s article trajectory networks [7]), articles. This has led to multiple efforts to create classifiers that can where nodes correspond to individual editors of an article, and edges predict the quality of a given article [3][4][18]. These classifiers can join the authors of consecutive revisions. Using descriptive statistics assist in providing assessments of article quality at scale, and help generated from these networks, along with general properties like further our understanding of the features that distinguish high and the number of edits and article size, we predict which of six quality low quality Wikipedia articles. classes (Start, Stub, C-Class, B-Class, Good, Featured) articles belong While many Wikipedia article quality classifiers have focused to, attaining a classification accuracy of 49.35% on a stratified sample on assessing quality based on the content of the latest version of of articles. These results suggest that structures of collaboration an article [1, 4, 18], prior work has suggested that high quality arti- underlying the creation of articles, and not just the content of the cles are associated with more intense collaboration among editors article, should be considered for accurate quality classification. -
E-Posters in Academic/Scientific Conferεnces – Guidelines, Comparative Study & New Suggestions
University of the Aegean Department of Product and Systems Design Engineering DISSERTATION: E-POSTERS IN ACADEMIC/SCIENTIFIC CONFERΕNCES – GUIDELINES, COMPARATIVE STUDY & NEW SUGGESTIONS Pissaridi Maria Anastasia 511/2004041 Supervisor: Paraskevas Papanikos Committee Members: Nikolaos Zacharopoulos Maria Simosi Syros, June 2015 DISSERTATION: E-POSTERS IN ACADEMIC/SCIENTIFIC CONFERENCES – GUIDELINES, COMPARATIVE STUDY & NEW SUGGESTIONS Supervisor: Paraskevas Papanikos Committee Members: Nikolaos Zacharopoulos Maria Simosi Pissaridi Maria Anastasia Syros, June 2015 3 ABSTRACT Conferences play a key role in getting people interested in a field together to network and exchange knowledge. The poster presentation is a commonly used format for communicating information within the academic scientific conference sector. Paper posters were the beginning but as technology and the way people work changes, posters have to be developed and implemented in order to achieve successful knowledge transfer. Incorporating aspects of information technology into poster presentations can promote an interactive learning environment for users and counter the current passive nature of poster design as an integrated approach with supplemental material is required to achieve changes in user knowledge, attitude and behaviour. After conducting literature review, research of existing e-poster providers, interviews with 5 of them and a personal evaluation in a real time conference environment results show a gradual turn towards e-posters with the medical sector pioneering. Authors, viewers and organisers embrace this new format, and the features and functions it offers, although objections exist since people have different preferences and the e-poster sector is relatively young, an average of 5 years. Pissaridi Maria Anastasia dpsd04041 4 SUMMARY Η ανάγκη των ανθρώπων να συγκεντρώνονται για να ανταλλάσσουν ιδέες, ευρήματα, έρευνες και απόψεις υπήρχε από τη δημιουργία των πρώτων πόλεων όπου φτιάχνονται με χώρους συγκέντρωσης. -
Annual Report
Year in Review 2016 - 2017 Table of Contents 1.................................................................................About CRCS 2............................................................................Director’s Letter 3..........................................................................................Faculty 6.........................................................................................Fellows 10..........................................................Bi-Weekly Seminar Series 14............................................................................Special Events 17...............................................................Collaborative Research 19........................................................................................Awards 20................................................................................Publications 22............................................................................Looking Ahead The Center for Research on Computation and Society (CRCS) at the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) is a multidisciplinary organization that brings together computer scientists and scholars from a broad range of fields to make advances in computational research that serves public interest. We are engaged in interdisciplinary projects in areas such as Economics & Computer Science; Healthcare Informatics; Privacy & Security; Technology & Accessibility; and Automation & Reproducibility of Data Analysis. CRCS is informed by a deep knowledge -
Towards a Decentralized Process for Scientific Publication and Peer
Proceedings of the 52nd Hawaii International Conference on System Sciences | 2019 Towards a Decentralized Process for Scientific Publication and Peer Review using Blockchain and IPFS Antonio Tenorio-Fornes´ Viktor Jacynycz David Llop Antonio A. Sanchez-Ruiz´ Samer Hassan GRASIA, Universidad GRASIA, Universidad GRASIA, Universidad GAIA, Universidad GRASIA, Universidad Complutense de Madrid Complutense de Madrid Complutense de Madrid Complutense de Madrid Complutense de Madrid [email protected] [email protected] [email protected] [email protected] Berkman Klein Center at Harvard University [email protected] Abstract It is acknowledged that the Open Access and Open Science movements have successfully reduced the The current processes of scientific publication and economic cost of readers to access knowledge [10]. peer review raise concerns around fairness, quality, However it has not successfully challenged traditional performance, cost, and accuracy. The Open Access publishers’ business models [11] that are often charging movement has been unable to fulfill all its promises, and both readers and authors [12]. a few middlemen publishers can still impose policies Traditional peer review has suffered multiple and concentrate profits. This paper, using emerging criticisms, and yet only few alternatives have gathered distributed technologies such as Blockchain and IPFS, success [13]. The literature provides multiple proposals proposes a decentralized publication system for open around open peer review [14], and proposals of science. The proposed system would provide (1) a reputation networks for reviewers [15]. In fact, a distributed reviewer reputation system, (2) an Open start-up, Publons1, provides a platform to acknowledge Access by-design infrastructure, and (3) transparent reviews and open them up. -
Edit Filters on English Wikipedia
You Shall Not Publish: Edit Filters on English Wikipedia Lyudmila Vaseva Claudia Müller-Birn Human-Centered Computing | Freie Universität Berlin Human-Centered Computing | Freie Universität Berlin [email protected] [email protected] Figure 1: Warning Message of an edit filter to inform the editor that their edit is potentially non-constructive. ABSTRACT ACM Reference Format: Ensuring the quality of the content provided in online settings Lyudmila Vaseva and Claudia Müller-Birn. 2020. You Shall Not Publish: is an important challenge today, for example, for social media or Edit Filters on English Wikipedia. In 16th International Symposium on Open Collaboration (OpenSym 2020), August 25–27, 2020, Virtual conference, Spain. news. The Wikipedia community has ensured the high-quality ACM, New York, NY, USA, 10 pages. https://doi.org/10.1145/3412569.3412580 standards for an online encyclopaedia from the beginning and has built a sophisticated set of automated, semi-automated, and manual 1 INTRODUCTION quality assurance mechanisms over the last fifteen years. The scien- tific community has systematically studied these mechanisms but The public heatedly debated so-called "upload filters" in the context 1 one mechanism has been overlooked — edit filters. Edit filters are of the EU copyright law reform in 2019 . Upload filters are con- syntactic rules that assess incoming edits, file uploads or account ceived as a form of copyright protection. They should check for creations. As opposed to many other quality assurance mechanisms, possible infringements of copyrighted material even before a con- edit filters are effective before a new revision is stored in the online tribution is published online — and the contributions affected can encyclopaedia. -
R. Stuart Geiger Curriculum Vitae September 2021 [email protected] | | @Staeiou | Google Scholar | Github
Geiger CV 1/14 R. Stuart Geiger Curriculum Vitae September 2021 [email protected] | http://stuartgeiger.com | @staeiou | Google Scholar | GitHub Education University of California at Berkeley, School of Information Ph.D., Information Management & Systems, designated emphasis in New Media December 2015 Georgetown University M.A., Communication, Culture, and Technology May 2009 University of Texas at Austin B.A., Humanities Honors May 2007 Employment University of California at San Diego Assistant Professor, Dept of Communication & Halıcıoğlu Data Science Institute Jul 2020 – present University of California at Berkeley, Berkeley Institute for Data Science Postdoctoral scholar and staff ethnographer Jan 2016 – June 2020 Wikimedia Foundation Research intern (full-time) May 2011 – Aug 2011 Georgetown University Research associate, Communication, Culture, and Technology (full-time) May 2009 – Aug 2010 Publications & Other Scholarly Outputs: Peer-Reviewed Journal Publications: 1. Geiger, R. S., Cope, D., Ip, J., Lotosh, M., Shah, A., Weng, J., & Tang, R. (2021). “Garbage In, Garbage Out” Revisited: What Do Machine Learning Application Papers Report About Human- Labeled Training Data?. Quantitative Science Studies, Online First. 1-32. https://doi.org/10.1162/qss_a_00144 2. Geiger, R. S., Howard, D., & Irani, L. (2021). The Labor of Maintaining and Scaling Free and Open-Source Software Projects. Proceedings of the ACM on Human-Computer Interaction, 5 (CSCW1), 1-28. https://dl.acm.org/doi/pdf/10.1145/3449249 Geiger CV 2/14 3. Scroggins, M.J., Pasquetto, I.V., Geiger, R.S., Boscoe, B.M., Darch, P.T., Cabasse-Mazel, C., Thompson, C. and Borgman, C.L. (2020). “Thorny Problems in Data (-Intensive) Science.” Communications of the ACM. -
Submission Data for 2020-2021 CORE Conference Ranking Process (Submitted As a Comparator for International Conference on Testing Software and Systems )
Submission Data for 2020-2021 CORE conference Ranking process (Submitted as a comparator for International Conference on Testing Software and Systems ) Mercedes G. Merayo, Ana Rosa Cavalli Conference Details Conference Title: International Symposium on Open Collaboration (was International Symposiums on Wikis) Acronym : OPENSYM Rank: B DBLP Link DBLP url: https://dblp.uni-trier.de/db/conf/wikis Recent Years Proceedings Publishing Style Proceedings Publishing: series Link to most recent proceedings: https://dl.acm.org/doi/proceedings/10.1145/3412569 Further details: Proceedings are published in the ACMâĂŹs International Conference Proceeding Series (ICPS). In addition to Full Research Papers, Emerging Research Papers are included in the proceedings. They are labelled as Short Papers. Also posters have been included in the proceedings (OpenSym 2017) in a dedicated section, POSTER SESSION: Posters. Most Recent Years Most Recent Year Year: 2019 URL: https://opensym.org/os2019/ Location: SkÃűvde, Sweden Papers submitted: 23 Papers published: 17 Acceptance rate: 74 Source for numbers: https://dl.acm.org/doi/proceedings/10.1145/3306446#acceptance-rates General Chairs Name: BjÃűrn Lundell Affiliation: University of SkÃűvde, Sweden Gender: M H Index: 23 GScholar url: https://scholar.google.com/citations?user=HzSO6UQAAAAJ&hl=en DBLP url: https://dblp.org/pid/37/6147.html Name: Jonas Gamalielsson Affiliation: University of SkÃűvde, Sweden Gender: M H Index: 10 GScholar url: DBLP url: https://dblp.org/pid/95/49.html Program Chairs 1 Name: Lorraine Morgan -
The Expansion of Algorithmic Governance: from Code Is Law to Law Is Code Samer Hassan, Primavera De Filippi
The Expansion of Algorithmic Governance: From Code is Law to Law is Code Samer Hassan, Primavera de Filippi To cite this version: Samer Hassan, Primavera de Filippi. The Expansion of Algorithmic Governance: From Code is Law to Law is Code . Field Actions Science Reports, Institut Veolia, 2017. hal-01700277 HAL Id: hal-01700277 https://hal.archives-ouvertes.fr/hal-01700277 Submitted on 3 Feb 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Field Actions Science Reports The journal of field actions Special Issue 17 | 2017 Artificial Intelligence and Robotics in the City The Expansion of Algorithmic Governance: From Code is Law to Law is Code Samer Hassan and Primavera De Filippi Electronic version URL: http://journals.openedition.org/factsreports/4518 ISSN: 1867-8521 Publisher Institut Veolia Printed version Date of publication: 31 December 2017 Number of pages: 88-90 ISSN: 1867-139X Electronic reference Samer Hassan and Primavera De Filippi, « The Expansion of Algorithmic Governance: From Code is Law to Law is Code », Field Actions Science Reports [Online], Special Issue 17 | 2017, Online since 31 December 2017, connection on 30 January 2018. URL : http://journals.openedition.org/ factsreports/4518 Creative Commons Attribution 3.0 License www.factsreports.org “Code is law” is a form of regulation THE EXPANSION whereby technology is used to enforce existing rules. -
Browsing the Free Software Commons
Browsing the Free Soware Commons Stefano Zacchiroli University Paris Diderot & Inria — [email protected] 22 August 2018 OpenSym 2018 Paris, France THE GREAT LIBRARY OF SOURCE CODE Stefano Zacchiroli Browsing the Free Soware Commons 22/08/2018, OpenSym 1 / 23 Outline 1 The Soware Commons 2 Soware Heritage 3 Accessing the archive 4 Geing involved Stefano Zacchiroli Browsing the Free Soware Commons 22/08/2018, OpenSym 2 / 23 (Free) Soware is everywhere Software Stefano Zacchiroli Browsing the Free Soware Commons 22/08/2018, OpenSym 2 / 23 Soware source code is special Harold Abelson, Structure and Interpretation of Computer Programs “Programs must be wrien for people to read, and only incidentally for machines to execute.” ake 2 source code (excerpt) Net. queue in Linux (excerpt) Len Shustek, Computer History Museum “Source code provides a view into the mind of the designer.” Stefano Zacchiroli Browsing the Free Soware Commons 22/08/2018, OpenSym 3 / 23 Source code is a precious part of our commons are we taking care of it? Our Soware Commons Definition (Commons) The commons is the cultural and natural resources accessible to all members of a society, including natural materials such as air, water, and a habitable earth. These resources are held in common, not owned privately. https://en.wikipedia.org/wiki/Commons Definition (Soware Commons) The soware commons consists of all computer soware which is available at lile or no cost and which can be altered and reused with few restrictions. Thus all open source soware and all free soware are part of the [soware] commons. [...] https://en.wikipedia.org/wiki/Software_Commons Stefano Zacchiroli Browsing the Free Soware Commons 22/08/2018, OpenSym 4 / 23 Our Soware Commons Definition (Commons) The commons is the cultural and natural resources accessible to all members of a society, including natural materials such as air, water, and a habitable earth.