OpenSym 2016 General Call for Submissions (Papers)
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OpenSym 2016, the 12th International Symposium on Open Collaboration
August 17-19, 2016 | Berlin, Germany
http://opensym.org/os2016
ABOUT THE CONFERENCE
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The 12th International Symposium on Open Collaboration (OpenSym 2016) is the
premier conference on open collaboration research and practice, including open
source, open data, open education, wikis and related social media, Wikipedia,
and IT-driven open innovation research.
OpenSym is the first conference series to bring together the different strands
of open collaboration research and practice, seeking to create synergies and
inspire new collaborations between computer scientists, social scientists,
legal scholars, and everyone interested in understanding open collaboration
and how it is changing the world.
OpenSym 2016 will be held in Berlin, Germany, on August 17-19, 2016.
OpenSym is held in-cooperation with ACM SIGWEB and ACM SIGSOFT and the
conference proceedings will be archived in the ACM digital library like all
prior editions.
The research paper submission deadline is March 25th, 2016.
RESEARCH TRACK CALLS FOR SUBMISSIONS
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The conference provides peer-reviewed research tracks on
- Free, libre, and open source software research, chaired by Stephan Koch,
Boğaziçi Üniversitesi, and Daniel German, University of Victoria. For more
information see
http://www.opensym.org/os2016/call-for-papers/free-libre-and-open-source-so…
- Open data research, chaired by Dirk Riehle, Friedrich-Alexander University
Erlangen-Nürnberg, and Ina Schieferdecker, Fraunhofer FOKUS and TU Berlin. For
more information see
http://www.opensym.org/os2016/call-for-papers/open-data-research-track/
- Open education research, chaired by Astrid Wichmann, Ruhr-University Bochum,
and Johannes Moskaliuk, University of Tübingen. For more information see
http://www.opensym.org/os2016/call-for-papers/open-education-research-track/
- IT-driven open innovation research, chaired by Albrecht Fritzsche,
Friedrich-Alexander University of Erlangen-Nürnberg, and Srinivasan R, Indian
Institute of Management Bangalore. For more information see
http://www.opensym.org/os2016/call-for-papers/it-driven-open-innovation-res…
- Wikipedia research, chaired by Claudia Müller-Birn, Freie Universität
Berlin, and Benjamin Mako Hill, University of Washington. For more information
see http://www.opensym.org/os2016/call-for-papers/wikipedia-research-track/
- Open collaboration (wikis, social media, etc.) research, chaired by Oscar
Diaz, Universidad del Pais Vasco, and Dirk Riehle, Friedrich-Alexander
University Erlangen-Nürnberg. For more information see
http://www.opensym.org/os2016/call-for-papers/open-collaboration-research-t…
Research papers present integrative reviews or original reports of substantive
new work: theoretical, empirical, and/or in the design, development and/or
deployment of novel concepts, systems, and mechanisms. Research papers will be
reviewed by a research track program committee to meet rigorous academic
standards of publication. Papers will be reviewed for relevance, conceptual
quality, innovation and clarity of presentation.
Each track has its own call for papers, which you can find at
http://www.opensym.org/os2016/call-for-papers/. Submission deadline is March
25th, 2016.
Authors, whose submitted papers have been accepted for presentation at the
conference have a choice of
- having their paper become part of the official proceedings, archived in the
ACM Digital Library,
- having no publication record at all but only the presentation at the conference.
OpenSym seeks to accommodate the needs of the different research disciplines
it draws on.
DOCTORAL SYMPOSIUM CALL FOR SUBMISSIONS
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OpenSym seeks to explore the synergies between all strands of open
collaboration research. Thus, we will have a doctoral symposium, in which
Ph.D. students from different disciplines can present their work and receive
feedback from senior faculty and their peers.
The doctoral symposium is lead by Lutz Prechelt, Freie Universität of Berlin.
The call for papers for the doctoral symposium can be found at
http://www.opensym.org/os2016/call-for-papers/doctoral-symposium-at-opensym/.
Submission deadline is May 6th, 2016.
INDUSTRY AND COMMUNITY TRACK CALL FOR SUBMISSIONS
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OpenSym is also seeking submissions for experience reports (long and short),
tutorials, workshops, panels, industry and community posters, and demos. Such
work accepted for presentation or performance at the conference is considered
part of the community track. It will be put into the proceedings in a
community track section; authors can opt-out of the publication, as with
research papers.
The industry and community track is lead by Simon Dückert of Cogneon GmbH and
Lorraine Morgan of Maynooth University.
The call for submissions to the community track can be found at
http://www.opensym.org/os2016/call-for-papers/industry-and-community-track/.
The first submission deadline is April 22nd, 2016. A second submission
deadline for late-comers (at the risk of not getting a seat) is June 2nd, 2016.
THE OPENSYM CONFERENCE EXPERIENCE
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OpenSym 2016 will be held in Berlin on August 17-19, 2016. Research and
community presentations and performances will be accompanied by keynotes,
invited speakers, and a social program in one of the most vibrant cities on
this planet.
The open space track is a key ingredient of the event that distinguishes
OpenSym from other conferences. It is an integral part of the program that
makes it easy to talk to other researchers and practitioners and to stretch
your imagination and conversations beyond the limits of your own
subdiscipline, exposing you to the full breadth of open collaboration
research. The open space track is entirely participant-organized, is open for
everyone, and requires no submission or review.
CONFERENCE ORGANIZATION
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The general chair of the conference is Anthony "Tony" Wasserman, CMU Silicon
Valley.
Feel free to contact us with any questions you might have at info(a)opensym.org.
The conference committee can be found at
http://www.opensym.org/os2016/organization/.
--
Prof. Dr. Dirk Riehle, Friedrich-Alexander-University Erlangen-Nürnberg
Open Source Research Group, Applied Software Engineering
Web: http://osr.cs.fau.de, Email: dirk.riehle(a)fau.de
Cell phone: +49 157 8153 4150 or +1 650 450 8550
--
Website: http://dirkriehle.com - Twitter: @dirkriehle
Ph (DE): +49-157-8153-4150 - Ph (US): +1-650-450-8550
Hi everybody,
We’re preparing for the November 2015 research newsletter and looking for contributors. Please take a look at: https://etherpad.wikimedia.org/p/WRN201511 and add your name next to any paper you are interested in covering. Our target publication date is Wednesday November 25 UTC although actual publication might happen several days later. As usual, short notes and one-paragraph reviews are most welcome.
Highlights from this month:
An Analysis of the Quality Issues of the Properties Available in the Spanish DBpedia
Are Wikipedia Citations Important Evidence of the Impact of Scholarly Articles and Books?
Automatic Identification and Disambiguation of Concepts and Named Entities in the Multilingual Wikipedia
Change In Access After Digitization: Ethnographic Collections In Wikipedia
Collective remembering of organizations: Co-construction of organizational pasts in Wikipedia
Cumulative Growth in User-Generated Content Production: Evidence from Wikipedia
Economic Downturn and Volunteering: Does a Crisis Affect Content Generation on Wikipedia?
Gender by language
How do Twitter, Wikipedia, and Harrison's principles of medicine describe heart attacks?
How Structure Shapes Dynamics: Knowledge Development in Wikipedia - A Network Multilevel Modeling Approach
Improving Website Hyperlink Structure Using Server Logs
Individual versus Collaborative Information Processing: The Case of Biases in Wikipedia
Influence Of Wikipedia And Other Web Resources On Acute And Critical Care Decisions. A Web-Based Survey
Intellectual Interchanges in the History of Massive Online Open-editing Encyclopedia, Wikipedia
Leveraging the Crowdsourcing of Lexical Resources for Bootstrapping a Linguistic Data Cloud
Model the social network of movie actors of the 1920s and 1930s with Wikidata
Relation between Wikipedia edits and news published
The Impact and Evolution of Group Diversity in Online Open Collaboration
Top 100 historical figures of Wikipedia
Towards a Class-Based Model of Information Organization in Wikipedia
Transforming Wikipedia into a Search Engine for Local Experts
Transparency, Control, and Content Generation on Wikipedia: Editorial Strategies and Technical Affordances
Understanding Editing Behaviors in Multilingual Wikipedia
Use and awareness of Wikipedia among the M.C.A students of C. D. Jain college of commerce, Shrirampur : A Study
Utilising Wikipedia for text mining applications
Visualizing Wikipedia Article and User Networks: Extracting Knowledge Structures using NodeXL
Wikipedia and history: a worthwhile partnership in the digital era?
Wikipedia und History
Wikipedia, Work and Capitalism: A Realm of Freedom?
Wisdom of the Crowd: Wikipedia Controversies and Coordinating Policies
Zero Rating and Mobile Net Neutrality
If you have any question about the format or process feel free to get in touch off-list.
Masssly, Tilman Bayer and Dario Taraborelli
[1] http://meta.wikimedia.org/wiki/Research:Newsletter
---------- Forwarded message ----------
From: Dan Andreescu <dandreescu(a)wikimedia.org <mailto:dandreescu@wikimedia.org>>
To: Research into Wikimedia content and communities <wiki-research-l(a)lists.wikimedia.org <mailto:wiki-research-l@lists.wikimedia.org>>
Cc:
Date: Wed, 18 Nov 2015 08:43:10 -0500
Subject: Pageview API
Dear Data Enthusiasts,
In collaboration with the Services team, the analytics team wishes to announce a public Pageview API <https://wikimedia.org/api/rest_v1/?doc#!/Pageviews_data/get_metrics_pagevie…>. For an example of what kind of UIs someone could build with it, check out this excellent demo <http://analytics.wmflabs.org/demo/pageview-api> (code) <https://gist.github.com/marcelrf/49738d14116fd547fe6d#file-article-comparis…>.
The API can tell you how many times a wiki article or project is viewed over a certain period. You can break that down by views from web crawlers or humans, and by desktop, mobile site, or mobile app. And you can find the 1000 most viewed articles <https://wikimedia.org/api/rest_v1/metrics/pageviews/top/es.wikipedia/all-ac…> on any project, on any given day or month that we have data for. We currently have data back through October and we will be able to go back to May 2015 when the loading jobs are all done. For more information, take a look at the user docs <https://wikitech.wikimedia.org/wiki/Analytics/AQS/Pageview_API>.
After many requests from the community, we were really happy to finally make this our top priority and get it done. Huge thanks to Gabriel, Marko, Petr, and Eric from Services, Alexandros and all of Ops really, Henrik for maintaining stats.grok, and, of course, the many community members who have been so patient with us all this time.
The Research team’s Article Recommender tool <http://recommend.wmflabs.org/> already uses the API to rank pages and determine relative importance. Wiki Education Foundation’s dashboard <https://dashboard.wikiedu.org/> is going to be using it to count how many times an article has been viewed since a student edited it. And there are other grand plans for this data like “article finder”, which will find low-rated articles with a lot of pageviews; this can be used by editors looking for high-impact work. Join the fun, we’re happy to help get you started and listen to your ideas. Also, if you find bugs or want to suggest improvements, please create a task in Phabricator and tag it with #Analytics-Backlog <https://phabricator.wikimedia.org/tag/analytics-backlog/>.
So what’s next? We can think of too many directions to go into, for pageview data and Wikimedia project data, in general. We need to work with you to make a great plan for the next few quarters. Please chime in here <https://phabricator.wikimedia.org/T112956> with your needs.
Team Analytics
(p.s. this was also posted on analytics-l, wikitech-l, and engineering-l, but I suck and forgot to cc the research list. My apologies.)
Dario Taraborelli Head of Research, Wikimedia Foundation
wikimediafoundation.org <http://wikimediafoundation.org/> • nitens.org <http://nitens.org/> • @readermeter <http://twitter.com/readermeter>
*TL;DR*
We want to get researchers in a room to experiment with infrastructure for
making open data science easier. We're focusing on three infrastructural
strategies (1) improving metadata and indexing open online community
datasets, (2) an online querying service that makes processing, joining,
and extracting subsets of data easier and (3) defining a protocol for
reporting research methods that will make studies easier to
replicate/extend.
*Title:* Breaking into new Data-Spaces: Infrastructure for Open Community
Science
*Date:* February 27, 2016
*Application deadline:* December 31, 2015
*Conference website:* http://cscw.acm.org/2016/program/workshops.php#WP-10
*Apply/info:*
https://meta.wikimedia.org/wiki/Research:Breaking_into_new_Data-Spaces
*Participants announced:* January 15, 2016
We encourage you to apply
<https://wikimedia.qualtrics.com/SE/?SID=SV_2bCdc2BGBGAWwmx> to a CSCW 2016
<http://cscw.acm.org/2016/> workshop focused on advancing your ability to
do work with datasets from online communities. We will experiment with
documentation protocols and technologies that are designed to make the
process of “breaking into” a new dataset more tractable for researchers
studying open online communities.
*Who can participate*
Anyone who builds, manages, studies or is interested in studying open
online communities can apply. Fill out our application form and tell us a
bit about your relevant interests and experience.
*Organizers*
Aaron Halfaker, Jonathan Morgan, Yuvaraj Pandian - Wikimedia Foundation
Elizabeth Thiry - Boundless
Kristen Schuster, A.J. Million, Sean Goggins - University of Missouri
William Rand - University of Maryland
David Laniado - Eurecat
*Abstract*
Despite being easily accessible, open online community (OOC) data can be
difficult to use effectively. In order to access and analyze large amounts
of data, researchers must first become familiar with the meaning of data
values. Then they must find a way to obtain and process the datasets to
extract their desired vectors of behavior and content. This process is
fraught with problems that are solved (through great difficulty) over and
over again by each research team/lab that breaks into datasets for a new
OOC.
In this workshop, we'll experiment with documentation protocols and
technologies that are designed to make the process of “breaking into” a new
dataset more tractable for researchers studying open online communities.
This workshop’s purpose is to bring together researchers to test these
systems and discover problems and missed opportunities to support
iteration. Participants will also be given the opportunity to use
state-of-the-art documentation and technologies to break into a new
collection of datasets. This workshop is the direct result of a call to
action to build infrastructure for data sharing between researchers from
past CSCW workshops and related conferences.
For more information and to apply see:
https://meta.wikimedia.org/wiki/Research:Breaking_into_new_Data-Spaces
Hi Everyone,
The next Research Showcase will be live-streamed this Wednesday, November
18, 2015 at 11:30 (PST).
YouTube stream: http://www.youtube.com/watch?v=kXCI6whgdUA
As usual, you can join the conversation on IRC at #wikimedia-research. And,
you can watch our past research showcases here
<https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase#Archive>.
We look forward to seeing you!
Kind regards,
Sarah R. Rodlund
Project Coordinator-Engineering, Wikimedia Foundation
srodlund(a)wikimedia.org
This month:
*Impact, Characteristics, and Detection of Wikipedia Hoaxes*
By Srijan Kumar
False information on Wikipedia raises concerns about its credibility. One
way in which false information may be presented on Wikipedia is in the form
of hoax articles, i.e. articles containing fabricated facts about
nonexistent entities or events. In this talk, we study false information on
Wikipedia by focusing on the hoax articles that have been created
throughout its history. First, we assess the real-world impact of hoax
articles by measuring how long they survive before being debunked, how many
pageviews they receive, and how heavily they are referred to by documents
on the Web. We find that, while most hoaxes are detected quickly and have
little impact on Wikipedia, a small number of hoaxes survive long and are
well cited across the Web. Second, we characterize the nature of successful
hoaxes by comparing them to legitimate articles and to failed hoaxes that
were discovered shortly after being created. We find characteristic
differences in terms of article structure and content, embeddedness into
the rest of Wikipedia, and features of the editor who created the hoax.
Third, we successfully apply our findings to address a series of
classification tasks, most notably to determine whether a given article is
a hoax. And finally, we describe and evaluate a task involving humans
distinguishing hoaxes from non-hoaxes. We find that humans are not
particularly good at the task and that our automated classifier outperforms
them by a big margin.
Agree. A great step forwards for all of us who do outreach. Many thanks to
everyone who made this happen :-)
--
James Heilman
MD, CCFP-EM, Wikipedian
The Wikipedia Open Textbook of Medicine
www.opentextbookofmedicine.com
As of July 2015 I am a board member of the Wikimedia Foundation
My emails; however, do not represent the official position of the WMF
Shall do! I'm already linking in the internal documentation :)
On 17 November 2015 at 21:11, Madhumitha Viswanathan
<mviswanathan(a)wikimedia.org> wrote:
> Woot! Nice :) Would be cool to link to the API docs from your README too.
>
> On Tue, Nov 17, 2015 at 5:54 PM, Oliver Keyes <okeyes(a)wikimedia.org> wrote:
>>
>> Hey!
>>
>> As y'all may have seen, we have a new pageviews API, with much finer
>> granularity and better recall than the existing data. Since I had
>> advance notice of the release, I was able to put together an R client
>> already - you can get it at https://github.com/Ironholds/pageviews if
>> R is your language of choice, and it'll be up on CRAN shortly.
>>
>> Thanks,
>>
>> --
>> Oliver Keyes
>> Count Logula
>> Wikimedia Foundation
>>
>> _______________________________________________
>> Analytics mailing list
>> Analytics(a)lists.wikimedia.org
>> https://lists.wikimedia.org/mailman/listinfo/analytics
>
>
>
>
> --
> --Madhu :)
>
> _______________________________________________
> Analytics mailing list
> Analytics(a)lists.wikimedia.org
> https://lists.wikimedia.org/mailman/listinfo/analytics
>
--
Oliver Keyes
Count Logula
Wikimedia Foundation
Hey!
As y'all may have seen, we have a new pageviews API, with much finer
granularity and better recall than the existing data. Since I had
advance notice of the release, I was able to put together an R client
already - you can get it at https://github.com/Ironholds/pageviews if
R is your language of choice, and it'll be up on CRAN shortly.
Thanks,
--
Oliver Keyes
Count Logula
Wikimedia Foundation