Hi everyone,
I'm excited to share that our annual survey about Wikimedia communities is
now published!
This survey included 170 questions and reaches over 4,000 community
members across
four audiences: Contributors, Affiliate organizers, Program Organizers, and
Volunteer Developers. This survey helps us hear from the experience of
Wikimedians from across the movement so that teams are able to use
community feedback in their planning and their work. This survey also helps
us learn about long term changes in communities, such as community health
or demographics.
The report is available on meta:
https://meta.wikimedia.org/wiki/Community_Engagement_Insights/2018_Report
For this survey, we worked with 11 teams to develop the questions. Once the
results were analyzed, we spent time with each team to help them understand
their results. Most teams have already identified how they will use the
results to help improve their work to support you.
The report could be useful for your work in the Wikimedia movement as well!
What are you learning from the data? Take some time to read the report and
share your feedback on the talk pages. We have also published a blog that
you can read.[1]
We are hosting a livestream presentation[2] on September 20 at 1600 UTC.
Hope to see you there!
Feel free to email me directly with any questions.
All the best,
Edward
[1]
https://wikimediafoundation.org/2018/09/13/what-we-learned-surveying-4000-c…
[2] https://www.youtube.com/watch?v=qGQtWFP9Cjc
--
Edward Galvez
Evaluation Strategist, Surveys
Learning & Evaluation
Community Engagement
Wikimedia Foundation
--
Edward Galvez
Evaluation Strategist, Surveys
Learning & Evaluation
Community Engagement
Wikimedia Foundation
Hi all,
For all Hive users using stat1002/1004, you might have seen a deprecation
warning when you launch the hive client - that claims it's being replaced
with Beeline. The Beeline shell has always been available to use, but it
required supplying a database connection string every time, which was
pretty annoying. We now have a wrapper
<https://github.com/wikimedia/operations-puppet/blob/production/modules/role…>
script
setup to make this easier. The old Hive CLI will continue to exist, but we
encourage moving over to Beeline. You can use it by logging into the
stat1002/1004 boxes as usual, and launching `beeline`.
There is some documentation on this here:
https://wikitech.wikimedia.org/wiki/Analytics/Cluster/Beeline.
If you run into any issues using this interface, please ping us on the
Analytics list or #wikimedia-analytics or file a bug on Phabricator
<http://phabricator.wikimedia.org/tag/analytics>.
(If you are wondering stat1004 whaaat - there should be an announcement
coming up about it soon!)
Best,
--Madhu :)
INTERNATIONAL CONFERENCE ON SOCIAL MEDIA AND SOCIETY
Toronto, Canada (JULY 19-21, 2019)
THEME: Rethinking Privacy and Trust in the Social Media Age
IMPORTANT DATES
Full papers (6-10 pages) Due: Jan. 28, 2019
WIP papers (1000-word extended abstract) Due: Jan. 28, 2019
Panels, Workshops, & Posters Due: Mar. 18, 2019
PUBLISHING OPPORTUNITIES
Full papers presented at the Conference will be published in the conference
proceedings by ACM International Conference Proceeding Series (ICPS) and
will be available in the ACM Digital Library. All conference presenters will
be invited to submit their work as a full paper to the special issue of the
Social Media + Society journal (published by SAGE).
SUBMISSION DETAILS: http://socialmediaandsociety.org/submit/
ABOUT THE CONFERENCE
The <http://socialmediaandsociety.org/> International Conference on Social
Media & Society (#SMSociety <http://socialmediaandsociety.org/> ) is an
annual gathering of leading social media researchers from around the world.
Now, in its 10th year, the 2019 conference is being held in Toronto, Canada
from July 19 to 21. From its inception, the conference has focused on the
best practices for studying the impact and implications of social media on
society. Organized by the Social Media Lab <http://socialmedialab.ca/> at
Ted Rogers School of Management <https://www.ryerson.ca/tedrogersschool/>
at Ryerson University <https://www.ryerson.ca/> , the conference provides
participants with opportunities to exchange ideas, present original
research, learn about recent and ongoing studies, and network with peers.
The conference's intensive three-day program features hands-on workshops,
full papers, work-in-progress papers, panels, and posters. The wide-ranging
topics in social media showcase research from scholars working in many
fields including Management, Communication, Computer Science, Education,
Journalism, Information Science, Political Science, and Sociology.
CONFERENCE THEME: Rethinking Privacy and Trust in the Social Media Age
Can we trust what we hear and see on social media? For a time, social media
was viewed as a net positive for society. In their 2013 book, The New
Digital Age, Google's Jared Cohen and Eric Schmidt wrote:"Never before have
so many people been connected through an instantly responsive network." In
2015, Mark Zuckerberg, the co-founder and CEO of Facebook, wrote a glowing
endorsement of the internet and social media calling it "a force for peace
in the world." He argued that connecting people through social media would
help to bring about a "shared understanding" of the human condition and
build a "common global community."
Fast forward to 2018, social media is now embroiled in a series of ongoing
public scandals involving data abuse and misuse-with the most infamous
scandal involving the UK data analytics firm Cambridge Analytica. More
troubling is fact that social media has emerged as fertile ground for
fostering anti-social behaviour and is an important vector for
disinformation, misinformation, and manipulation operations. These realities
have further raised users' privacy concerns and challenged public trust in
social media, which has resulted in a revitalized call for new legislation
and regulation.
Considering this context, the <http://socialmediaandsociety.org/>
International Conference on Social Media & Society invites scholarly and
original submissions that explore key questions and central issues related
(but not limited) to the 2019 theme of "Rethinking Privacy and Trust in the
Social Media Age." We welcome research from a wide range of methodological
perspectives employing established quantitative, qualitative, and mixed
methods as well as innovative approaches that cross interdisciplinary
boundaries and expands our understanding of the current and future trends in
social media research, especially research that seeks to explore:
* What does 'privacy' and 'trust' mean in the social media age?
* How can researchers study and operationalize these constructs?
* What is the relationship between users' trust in social media
platforms, their privacy concerns, and their social media adoption and use?
* What are privacy protective technologies that can help to rebuild
users' trust in social media?
* Can and how AI-based applications help to rebuild trust in social
media and improve the credibility of social media content?
* How does social media manipulation affect political trust and
tolerance?
* How is social media being used to help build and strengthen trust in
political, economic, social and cultural realms of society?
* What roles do alternative social networking services-such as
Diaspora, Mastodon, and Gab.ai-play in the current social media environment
where hashtag campaigns-such as #DeleteFacebook, #MAGA and #MeToo-have
become prevalent?
* What theoretical and methodological tools can researchers rely on
for ethical and privacy-protective collection, analysis, and sharing of
social media datasets?
* What are the consequences of data regulations such as GDPR (General
Data Protection Regulation) on the industry and users? Are these regulations
effective?
* What are emerging successful user engagement models for governments,
journalists, financial institutions, marketers, and others in today's social
media landscape?
* What is the future of social media research without APIs?
* How can we measure authentic (or organic) user engagement while
properly accounting for bot-driven (or paid) interactions?
* How does algorithmic architecture influence how we discover and
interact with others?
* What is the role of algorithms played in creating divisive culture
in social media?
* What are the ethical concerns of algorithms (inclusion,
accessibility, discrimination, bots) and how to mitigate them?
TOPICS OF INTEREST
Social Media Impact on Society
* Privacy
* Trust & credibility
* Political mobilization & engagement
* Extremism & terrorism
* Politics of hate and oppression
* Health and well-being
Social Media & Business
* Brand communities
* Influencer & marketing
* Public & customer relations
* Cybervetting and HR
* Risk management
Social Media & Public Sector
* Government social media management
* Adoption, use, strategies and policies
* Trust towards public agencies
* Citizens' engagement
* Citizens' privacy & security concerns
Social Media & Academia
* Alternative metrics
* Learning analytics
* Teaching with social media
* University branding
Online/Offline Communities
* Online community detection
* Influential user detection
* Identity and anonymity
* Case studies
Social Media & Mobile
* Appification of society
* Privacy & security issues in a mobile world
* Encrypted messaging apps
* Fake news & misinformation
Theories & Methods
* Qualitative approaches
* Quantitative approaches
* Mixed methods
* Opinion mining & sentiment analysis
* Social network analysis
* Theoretical models
Big & Small Data
* Value of small data
* Data mining and analytics
* Sampling issues
* Visualization
* Scalability issues
ORGANIZING COMMITTEE
* Anatoliy Gruzd, Ryerson University, Canada - Conference Chair
* Priya Kumar, Ryerson University, Canada - Conference Chair
* Philip Mai, Ryerson University, Canada - Conference Chair
* Jenna Jacobson, Ryerson University, Canada - Full Paper Chair
* Raquel Recuero, Universidade Federal de Pelotas (UFPel), Brazil -
Full Paper Chair
* Hazel Kwon, Arizona State University, USA - WIP Chair
* Jeff Hemsley, Syracuse University, USA - WIP Chair
* Anabel Quan-Haase, Western University, Canada - Panel Chair
* Luke Sloan, Cardiff University, UK - Panel Chair
* Jaigris Hodson, Royal Roads University, Canada - Poster Chair
ADVISORY BOARD
* Susan Halford, University of Southampton, UK
* Caroline Haythornthwaite, Syracuse University, USA
* Zizi Papacharissi, University of Illinois at Chicago, USA
* Barry Wellman, INSNA Founder, The NetLab Network, Canada
Hi,
Kateryna is working on this:
https://meta.wikimedia.org/wiki/Research:Matching_Red_Links_with_Wikidata_I…
Please ping or write in the discussion page if you want to know more o
give ideas about this.
Best,
Diego
Date: Tue, 25 Sep 2018 16:40:06 +0300
> From: 80hnhtv4agou(a)bk.ru
> To: Discussion list for the Wikidata project
> <wikidata(a)lists.wikimedia.org>
> Cc: wikidata-bugs <wikidata-bugs(a)lists.wikimedia.org>, Wikitech - l
> <wikitech-l(a)lists.wikimedia.org>, wikimedia - l
> <wikimedia-l(a)lists.wikimedia.org>, wikidata-tech
> <wikidata-tech(a)lists.wikimedia.org>, wiki-research - l
> <wiki-research-l(a)lists.wikimedia.org>
> Subject: Re: [Wiki-research-l] [Wikidata] Semantic annotation of red
> links on Wikipedia
> Message-ID: <1537882806.518826391(a)f478.i.mail.ru>
> Content-Type: text/plain; charset=utf-8
>
>
> All that red makes the page look bad, and i would like to point out the
> abuse factor here, all those red links start edit wars,
>
> and should be put there if any by people,
>
> The creation of the wikidata page also creats a problem, because it does
> not establis a lable which should be mandatory
>
> and in english,
> in the save proses.
>
> and this problem *
> https://www.wikidata.org/wiki/Wikidata:WikiProject_Labels_and_descriptions#…
>
>
>
> >Tuesday, September 25, 2018 2:58 AM -05:00 from Sergey Leschina <
> mail(a)putnik.ws>:
> >
> >I want to draw your attention to the problem from the other side. On the
> newly created page, which can be opened by the red link, there is no
> binding to the Wikidata. This means that after the creation, the page will
> not automatically be linked to the Wikidata. And if the project has
> templates that can use information from the Wikidata, they will not fully
> work until the page will be saved at least once and linked to an item. I
> already suggested to add the parameter for this:
> https://phabricator.wikimedia.org/T178249
> >
> >If something like this will be implemented, then it will be possible to
> make a template for the red links (with Lua and TemplateStyles) that will
> be connected to the Wikidata. Although I agree that it is better to have a
> syntax that will allow to make links without such difficulties.
> >пн, 24 сент. 2018 г. в 20:50, Maarten Dammers < maarten(a)mdammers.nl >:
> >>Hi everyone,
> >>
> >>According to https://www.youtube.com/watch?v=TLuM4E6IE5U : "Semantic
> >>annotation is the process of attaching additional information to various
> >>concepts (e.g. people, things, places, organizations etc) in a given
> >>text or any other content. Unlike classic text annotations for reader's
> >>reference, semantic annotations are used by machines to refer to."
> >>(more at
> >>https://ontotext.com/knowledgehub/fundamentals/semantic-annotation/ )
> >>
> >>On Wikipedia a red link is a link to an article that hasn't been created
> >>(yet) in that language. Often another language does have an article
> >>about the subject or at least we have a Wikidata item about the subject.
> >>Take for example
> >>https://nl.wikipedia.org/w/index.php?title=Friedrich_Ris . It has over
> >>250 incoming links, but the person doesn't have an article in Dutch. We
> >>have a Wikidata item with links to 7 Wikipedia's at
> >>https://www.wikidata.org/wiki/Q116510 , but no way to relate
> >>https://nl.wikipedia.org/w/index.php?title=Friedrich_Ris with
> >>https://www.wikidata.org/wiki/Q116510 .
> >>
> >>Wouldn't it be nice to be able to make a connection between the red link
> >>on Wikipedia and the Wikidata item?
> >>
> >>Let's assume we have this list somewhere. We would be able to offer all
> >>sorts of nice features to our users like:
> >>* Hover of the link to get a hovercard in your favorite backup language
> >>* Generate an article placeholder for the user with basic information in
> >>the local language
> >>* Pre-populate the translate extension so you can translate the article
> >>from another language
> >>(probably plenty of other good uses)
> >>
> >>Where to store this link? I'm not sure about that. On some Wikipedia's
> >>people have tested with local templates around the red links. That's not
> >>structured data, clutters up the Wikitext, it doesn't scale and the
> >>local communities generally don't seem to like the approach. That's not
> >>the way to go. Maybe a better option would be to create a new property
> >>on Wikidata to store the name of the future article. Something like
> >>Q116510: Pxxx -> (nl)"Friedrich Ris". Would be easiest because the
> >>infrastructure is there and you can just build tools on top of it, but
> >>I'm afraid this will cause a lot of noise on items. A couple of
> >>suggestions wouldn't be a problem, but what is keeping people from
> >>adding the suggestion in 100 languages? Or maybe restrict the usage that
> >>a Wikipedia must have at least 1 (or n) incoming links before people are
> >>allowed to add it?
> >>We could create a new projects on the Wikimedia Cloud to store the
> >>links, but that would be quite the extra time investment setting up
> >>everything.
> >>
> >>What do you think?
> >>
> >>Maarten
> >>
> >>
> >>
> >>
> >>_______________________________________________
> >>Wikidata mailing list
> >>Wikidata(a)lists.wikimedia.org
> >>https://lists.wikimedia.org/mailman/listinfo/wikidata
> >
> >
> >--
> >Sergey Leschina
> >_______________________________________________
> >Wikidata mailing list
> >Wikidata(a)lists.wikimedia.org
> >https://lists.wikimedia.org/mailman/listinfo/wikidata
>
>
>
Hi everybody,
Tomorrow Sept 27th at 10 CEST db1108 (alias analytics-slave) will be down
for a brief (max 30 mins) maintenance (Mariadb and Linux kernel upgrade).
This means that the log database will not be available for querying during
this time frame. Please reach out to me or to the Analytics team if this
impacts your work (elukey or #wikimedia-analytics on IRC Freenode).
Thanks!
Luca
All that red makes the page look bad, and i would like to point out the abuse factor here, all those red links start edit wars,
and should be put there if any by people,
The creation of the wikidata page also creats a problem, because it does not establis a lable which should be mandatory
and in english,
in the save proses.
and this problem * https://www.wikidata.org/wiki/Wikidata:WikiProject_Labels_and_descriptions#…
>Tuesday, September 25, 2018 2:58 AM -05:00 from Sergey Leschina <mail(a)putnik.ws>:
>
>I want to draw your attention to the problem from the other side. On the newly created page, which can be opened by the red link, there is no binding to the Wikidata. This means that after the creation, the page will not automatically be linked to the Wikidata. And if the project has templates that can use information from the Wikidata, they will not fully work until the page will be saved at least once and linked to an item. I already suggested to add the parameter for this: https://phabricator.wikimedia.org/T178249
>
>If something like this will be implemented, then it will be possible to make a template for the red links (with Lua and TemplateStyles) that will be connected to the Wikidata. Although I agree that it is better to have a syntax that will allow to make links without such difficulties.
>пн, 24 сент. 2018 г. в 20:50, Maarten Dammers < maarten(a)mdammers.nl >:
>>Hi everyone,
>>
>>According to https://www.youtube.com/watch?v=TLuM4E6IE5U : "Semantic
>>annotation is the process of attaching additional information to various
>>concepts (e.g. people, things, places, organizations etc) in a given
>>text or any other content. Unlike classic text annotations for reader's
>>reference, semantic annotations are used by machines to refer to."
>>(more at
>>https://ontotext.com/knowledgehub/fundamentals/semantic-annotation/ )
>>
>>On Wikipedia a red link is a link to an article that hasn't been created
>>(yet) in that language. Often another language does have an article
>>about the subject or at least we have a Wikidata item about the subject.
>>Take for example
>>https://nl.wikipedia.org/w/index.php?title=Friedrich_Ris . It has over
>>250 incoming links, but the person doesn't have an article in Dutch. We
>>have a Wikidata item with links to 7 Wikipedia's at
>>https://www.wikidata.org/wiki/Q116510 , but no way to relate
>>https://nl.wikipedia.org/w/index.php?title=Friedrich_Ris with
>>https://www.wikidata.org/wiki/Q116510 .
>>
>>Wouldn't it be nice to be able to make a connection between the red link
>>on Wikipedia and the Wikidata item?
>>
>>Let's assume we have this list somewhere. We would be able to offer all
>>sorts of nice features to our users like:
>>* Hover of the link to get a hovercard in your favorite backup language
>>* Generate an article placeholder for the user with basic information in
>>the local language
>>* Pre-populate the translate extension so you can translate the article
>>from another language
>>(probably plenty of other good uses)
>>
>>Where to store this link? I'm not sure about that. On some Wikipedia's
>>people have tested with local templates around the red links. That's not
>>structured data, clutters up the Wikitext, it doesn't scale and the
>>local communities generally don't seem to like the approach. That's not
>>the way to go. Maybe a better option would be to create a new property
>>on Wikidata to store the name of the future article. Something like
>>Q116510: Pxxx -> (nl)"Friedrich Ris". Would be easiest because the
>>infrastructure is there and you can just build tools on top of it, but
>>I'm afraid this will cause a lot of noise on items. A couple of
>>suggestions wouldn't be a problem, but what is keeping people from
>>adding the suggestion in 100 languages? Or maybe restrict the usage that
>>a Wikipedia must have at least 1 (or n) incoming links before people are
>>allowed to add it?
>>We could create a new projects on the Wikimedia Cloud to store the
>>links, but that would be quite the extra time investment setting up
>>everything.
>>
>>What do you think?
>>
>>Maarten
>>
>>
>>
>>
>>_______________________________________________
>>Wikidata mailing list
>>Wikidata(a)lists.wikimedia.org
>>https://lists.wikimedia.org/mailman/listinfo/wikidata
>
>
>--
>Sergey Leschina
>_______________________________________________
>Wikidata mailing list
>Wikidata(a)lists.wikimedia.org
>https://lists.wikimedia.org/mailman/listinfo/wikidata
Hi everybody,
the Analytics team needs to replace the Hadoop master node hosts
(analytics100[1,2]) and the Hive/Oozie host (analytics1003) as part of
regular hardware refresh (hosts getting out of warranty). In order to do
things safely we decided to proceed with a full cluster shutdown on Sept
25th at 10 AM CEST. The maintenance should last a couple of hours and all
there shouldn't be any noticeable change for the Hadoop users.
This means that during the maintenance:
- HDFS will not be available
- Yarn will not be available
- Hive/Spark (cluster mode)/Oozie/etc.. will not be available
Please let us know if this impacts your work in
https://phabricator.wikimedia.org/T203635 or on the #wikimedia-analytics
Freenode IRC channel.
Thanks a lot!
Luca
Hi everyone,
We’re preparing for the August 2018 research newsletter and looking for contributors. Please take a look at https://etherpad.wikimedia.org/p/WRN201808 and add your name next to any paper you are interested in covering. Our target publication date is on September 28 UTC although actual publication might happen several days later. As usual, short notes and one-paragraph reviews are most welcome.
Highlights from this month:
- "Sharing Small Pieces of the World": Increasing and Broadening Participation in Wikimedia Commons
- A Wikia Census: Motives, Tools and and Insights
- Characterizing the Triggering Phenomenon in Wikipedia
- Comparative Analysis of the Informativeness and Encyclopedic Style of the Popular Web Information Sources
- Do less active participants make active participants more active? An examination of Chinese Wikipedia
- Do We All Talk Before We Type?: Understanding Collaboration in Wikipedia Language Editions
- Evaluating Wikipedia as a Source of Information for Disease Understanding
- Neural Article Pair Modeling for Wikipedia Sub-article Matching
- The Battle for Wikipedia: The New Age of ‘Lost Victories’?
- The impact of news exposure on collective attention in the United States during the 2016 Zika epidemic
- University Students in the Educational Field and Wikipedia Vandalism
- What is the Commons Worth? Estimating the Value of Wikimedia Imagery by Observing Downstream Use
Masssly, Tilman Bayer and Dario Taraborelli
[1] http://meta.wikimedia.org/wiki/Research:Newsletter
Jonathan Cardy <werespielchequers(a)gmail.com<mailto:werespielchequers@gmail.com>> wrote:
In case I didn’t make it clear, I am very much of the camp that IP editing is our lifeline, the way we recruit new members.
Tangentially elated to this question, we have a forthcoming paper at the CSCW conference about how research conclusions change when anonymous work (e.g., IP editing) is taken into account. We looked at data from a citizen science project. Short answer: it makes a difference.
The paper isn’t up on the ACM DL yet, but you can see it here: https://crowston.syr.edu/node/756
Doing the study requires access to IP addresses for logged in users, so someone at WMF would have to do the study for Wikipedia, which would be really interesting and would speak to the question of whether IP editing is a gateway to further editing.
Kevin Crowston
Associate Dean for Research, Distinguished Professor of Information Science
School of Information Studies
+1 (315) 443.1676<tel:+1%20(315)%20443.1676>
crowston(a)syr.edu<mailto:crowston@syr.edu>
348 Hinds Hall, Syracuse, NY 13244
crowston.syr.edu <http://crowston.syr.edu/>
Syracuse University
Most recent publication: Kevin Crowston, Isabelle Fagnot. (2018). Stages of motivation for contributing user-generated content: A theory and empirical test. International Journal of Human-Computer Studies, 109, 89-101, doi: 10.1016/j.ijhcs.2017.08.005<http://dx.doi.org/10.1016/j.ijhcs.2017.08.005> .
Check out our new research coordination network on Work in the Age of Intelligent Machine: http://waim.network/
Hi Everyone,
The next Wikimedia Research Showcase will be live-streamed Wednesday,
September 19 2018 at 11:30 AM (PDT) 18:30 UTC.
YouTube stream: https://www.youtube.com/watch?v=OY8vZ6wES9o
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#Upcoming_Showcase>
Hope to see you there!
This month's presentations is:
The impact of news exposure on collective attention in the United States
during the 2016 Zika epidemicBy *Michele Tizzoni, André Panisson, Daniela
Paolotti, Ciro Cattuto*In recent years, many studies have drawn attention
to the important role of collective awareness and human behaviour during
epidemic outbreaks. A number of modelling efforts have investigated the
interaction between the disease transmission dynamics and human behaviour
change mediated by news coverage and by information spreading in the
population. Yet, given the scarcity of data on public awareness during an
epidemic, few studies have relied on empirical data. Here, we use
fine-grained, geo-referenced data from three online sources - Wikipedia,
the GDELT Project and the Internet Archive - to quantify population-scale
information seeking about the 2016 Zika virus epidemic in the U.S.,
explicitly linking such behavioural signal to epidemiological data.
Geo-localized Wikipedia pageview data reveal that visiting patterns of
Zika-related pages in Wikipedia were highly synchronized across the United
States and largely explained by exposure to national television broadcast.
Contrary to the assumption of some theoretical models, news volume and
Wikipedia visiting patterns were not significantly correlated with the
magnitude or the extent of the epidemic. Attention to Zika, in terms of
Zika-related Wikipedia pageviews, was high at the beginning of the
outbreak, when public health agencies raised an international alert and
triggered media coverage, but subsequently exhibited an activity profile
that suggests nonlinear dependencies and memory effects in the relationship
between information seeking, media pressure, and disease dynamics. This
calls for a new and more general modelling framework to describe the
interaction between media exposure, public awareness, and disease dynamics
during epidemic outbreaks.
Deliberation and resolution on WikipediaA case study of requests for
commentsBy *Amy Zhang, Jane Im*Resolving disputes in a timely manner is
crucial for any online production group. We present an analysis of Requests
for Comments (RfCs), one of the main vehicles on Wikipedia for formally
resolving a policy or content dispute. We collected an exhaustive dataset
of 7,316 RfCs on English Wikipedia over the course of 7 years and conducted
a qualitative and quantitative analysis into what issues affect the RfC
process. Our analysis was informed by 10 interviews with frequent RfC
closers. We found that a major issue affecting the RfC process is the
prevalence of RfCs that could have benefited from formal closure but that
linger indefinitely without one, with factors including participants'
interest and expertise impacting the likelihood of resolution. From these
findings, we developed a model that predicts whether
--
Sarah R. Rodlund
Technical Writer, Developer Advocacy
<https://meta.wikimedia.org/wiki/Developer_Advocacy>
srodlund(a)wikimedia.org