Re: [Wiki-research-l] Results from 2018 global Wikimedia survey are published!

[Said Hamideh]

unsubscribe


On Thu, Sep 13, 2018 at 6:07 PM Edward Galvez  wrote:

> 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-community-members/
> [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
> ___
> Wiki-research-l mailing list
> Wiki-research-l@lists.wikimedia.org
> https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
>
___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l

[Wiki-research-l] Results from 2018 global Wikimedia survey are published!

[Edward Galvez]

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-community-members/
[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
___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l

Re: [Wiki-research-l] New viz.: Wikipedias, participation per language

[Kerry Raymond]

From my knowledge of the Australian census and what I can find on the 
Australian Bureau of Statistics website, we don't have this information about 
Australians either. It seems we don't know what other languages people can 
speak. The only statistic available is *households* which speak a language 
other than English, which greatly under-estimates the ability of any individual 
to speak that language as it depends on who they are living with and fails to 
tell us how well that other language is spoken by any individual.

This issue came up for Australian Wikipedians in connection with Indigenous 
languages. Despite the fact that we get asked to provide information on 
Wikipedia on the number of people who speak either any Indigenous language or a 
particular Indigenous language, we have no ability to answer that question 
except for whole households. And since (depending on how you define "language") 
there were 250+ Indigenous languages (with even more sub-dialects), even a 
household entirely composed of Indigenous people may not have a common 
Indigenous language to speak at home.

Kerry

-Original Message-
From: Wiki-research-l [mailto:wiki-research-l-boun...@lists.wikimedia.org] On 
Behalf Of Federico Leva (Nemo)
Sent: Friday, 14 September 2018 12:16 AM
To: Research into Wikimedia content and communities 
; Samuel Klein 
Subject: Re: [Wiki-research-l] New viz.: Wikipedias, participation per language

Always nice to see language data presented in an appealing way!

Samuel Klein, 10/09/2018 23:27:
> Do we have data on "# of speakers of language X who don't speak a 
> better-covered lang as a secondary language"?

I usually have a very hard time finding such data from official/reliable 
sources, even for EU languages. (I usually search for CLDR purposes.)

Federico

___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l


___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l

Re: [Wiki-research-l] [Wikimedia Research Showcase] Wednesday September 19, 2018 at 11:30 AM (PDT) 18:30 UTC

[Sarah R]

Hi Everyone,

The second abstract was cut short in the first email. Here is the full
version:

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 an RfC will go stale
with 75.3% accuracy, a level that is approached as early as one week after
dispute initiation.

On Thu, Sep 13, 2018 at 1:43 PM Sarah R  wrote:

> 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.
> 
>
> 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
> 
> srodl...@wikimedia.org
>
>
>
>
>

-- 
Sarah R. Rodlund
Technical Writer, Developer Advocacy

srodl...@wikimedia.org


*“I am a jug filled with water both magic and plain; I have only to lean
over, and a stream of beautiful thoughts flows out of me.” *

― 

[Wiki-research-l] [Wikimedia Research Showcase] Wednesday September 19, 2018 at 11:30 AM (PDT) 18:30 UTC

[Sarah R]

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.


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

srodl...@wikimedia.org
___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l

Re: [Wiki-research-l] New viz.: Wikipedias, participation per language

[Federico Leva (Nemo)]

Always nice to see language data presented in an appealing way!

Samuel Klein, 10/09/2018 23:27:

Do we have data on "# of speakers of language X who don't speak a
better-covered lang as a secondary language"?


I usually have a very hard time finding such data from official/reliable 
sources, even for EU languages. (I usually search for CLDR purposes.)


Federico

___
Wiki-research-l mailing list
Wiki-research-l@lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l