Re: [Wikimedia-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.” *

― 

[Wikimedia-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
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[Wikimedia-l] JSONstat

[John Erling Blad]

I said it before (8. Aug. 2015 on Wikidata-l) we should have a way to
include statistics in the JSONstat format. The list of bureaus publishing
in this format is increasing.

National Institute for Statistics of Italy ,
Statistics Norway , UK’s Office for
National Statistics , Statistics
Sweden
,
Statistics Denmark
, Statistics
Greenland , Statistics Finland
, Instituto Galego de Estatística
, Central
Statistics Office of Ireland , United
Nations Economic Commission for Europe ,
Eurostat
,
Statistics Iceland , Statistics
Faroe Islands , Statistics and
Research Åland , Swedish
Board of Agriculture
,
Statistical Institute of the Balearic Islands , Swiss
Federal Statistical Office , Croatian
Bureau of Statistics , Statistical
Committee of the Republic of Armenia
, State Statistical Office of
the Republic of Macedonia
, Basque Institute of
Statistics 

Note also the grant proposal

.

John Erling Blad
/jeblad
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