Re: [Wikimedia-l] [Wikimedia Research Showcase] July 15, 2020: Medical Knowledge on Wikipedia

[Janna Layton]

Hi all, this will be starting in about 15 minutes.

On Mon, Jul 13, 2020 at 2:20 PM Janna Layton  wrote:

> Hello all,
>
> Reminder that this very topical Research Showcase will be happening on
> Wednesday.
>
> On Thu, Jul 9, 2020 at 12:26 PM Janna Layton 
> wrote:
>
>> Hi all,
>>
>> The next Research Showcase will be live-streamed on Wednesday, July 15,
>> at 9:30 AM PDT/16:30 UTC.
>>
>> Wikipedia is one of the most important online resources for health
>> information. This has been especially highlighted during the Covid-19
>> pandemic: since the beginning of the year more than 5000 articles related
>> to Covid-19 have been created receiving more than 400M pageviews.
>> Therefore, for this month’s showcase our two invited speakers will help us
>> get a better understanding of the state of medical knowledge in Wikipedia.
>> In the first talk, Denise Smith will give an overview on how Wikipedia's
>> health content is used by different audiences (public, students, or
>> practitioners). In the second talk, Giovanni Colavizza will present results
>> on how editors on Wikipedia find, select, and integrate scientific
>> information on Covid-19 into Wikipedia articles.
>>
>> YouTube stream: https://www.youtube.com/watch?v=qIV26lWrD9c
>>
>> As usual, you can join the conversation on IRC at #wikimedia-research.
>> You can also watch our past research showcases here:
>> https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
>>
>> This month's presentations:
>>
>> Wikipedia for health information - Situating Wikipedia as a health
>> information resource
>>
>> By Denise Smith (McMaster University, Health Sciences Library & Western
>> University, Faculty of Information & Media Studies)
>>
>> Wikipedia is the most frequently accessed web site for health
>> information, but the various ways users engage with Wikipedia’s health
>> content has not been thoroughly investigated or reported. This talk will
>> summarize the findings of a comprehensive literature review published in
>> February. It explores all the contexts in which Wikipedia’s health content
>> is used that have been reported in academic literature. The talk will focus
>> on the findings reported in this paper, the potential impact of this study
>> in health and medical librarianship, the practice of medicine, and medical
>> or health education.
>>
>>
>>-
>>
>>D.A. Smith (2020). "Situating Wikipedia as a health information
>>resource in various contexts: A scoping review". PLoS ONE.
>>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228786
>>
>>
>>
>> COVID-19 research in Wikipedia
>>
>> By Giovanni Colavizza (University of Amsterdam, Netherlands)
>>
>> Wikipedia is one of the main sources of free knowledge on the Web. During
>> the first few months of the pandemic, over 4,500 new Wikipedia pages on
>> COVID-19 have been created and have accumulated close to 250M pageviews by
>> early April 2020.1 At the same time, an unprecedented amount of scientific
>> articles on COVID-19 and the ongoing pandemic have been published online.
>> Wikipedia’s contents are based on reliable sources, primarily scientific
>> literature. Given its public function, it is crucial for Wikipedia to rely
>> on representative and reliable scientific results, especially so in a time
>> of crisis. We assess the coverage of COVID-19-related research in Wikipedia
>> via citations. We find that Wikipedia editors are integrating new research
>> at an unprecedented fast pace. While doing so, they are able to provide a
>> largely representative coverage of COVID-19-related research. We show that
>> all the main topics discussed in this literature are proportionally
>> represented from Wikipedia, after accounting for article-level effects. We
>> further use regression analyses to model citations from Wikipedia and show
>> that, despite the pressure to keep up with novel results, Wikipedia editors
>> rely on literature which is highly cited, widely shared on social media,
>> and has been peer-reviewed.
>>
>>
>>-
>>
>>G. Colavizza (2020). "COVID-19 research in Wikipedia". bioRxiv.
>>https://www.biorxiv.org/content/10.1101/2020.05.10.087643v2
>>
>>
>> --
>> Janna Layton (she/her)
>> Administrative Assistant - Product & Technology
>> Wikimedia Foundation 
>>
>> --
>> Janna Layton (she/her)
>> Administrative Assistant - Product & Technology
>> Wikimedia Foundation 
>>
>
>
> --
> Janna Layton (she/her)
> Administrative Assistant - Product & Technology
> Wikimedia Foundation 
>


-- 
Janna Layton (she/her)
Administrative Assistant - Product & Technology
Wikimedia Foundation 
___
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https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and 
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New messages to: Wikimedia-l@lists.wikimedia.org

Re: [Wikimedia-l] [Wikimedia Research Showcase] July 15, 2020: Medical Knowledge on Wikipedia

[Janna Layton]

Hello all,

Reminder that this very topical Research Showcase will be happening on
Wednesday.

On Thu, Jul 9, 2020 at 12:26 PM Janna Layton  wrote:

> Hi all,
>
> The next Research Showcase will be live-streamed on Wednesday, July 15, at
> 9:30 AM PDT/16:30 UTC.
>
> Wikipedia is one of the most important online resources for health
> information. This has been especially highlighted during the Covid-19
> pandemic: since the beginning of the year more than 5000 articles related
> to Covid-19 have been created receiving more than 400M pageviews.
> Therefore, for this month’s showcase our two invited speakers will help us
> get a better understanding of the state of medical knowledge in Wikipedia.
> In the first talk, Denise Smith will give an overview on how Wikipedia's
> health content is used by different audiences (public, students, or
> practitioners). In the second talk, Giovanni Colavizza will present results
> on how editors on Wikipedia find, select, and integrate scientific
> information on Covid-19 into Wikipedia articles.
>
> YouTube stream: https://www.youtube.com/watch?v=qIV26lWrD9c
>
> As usual, you can join the conversation on IRC at #wikimedia-research. You
> can also watch our past research showcases here:
> https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase
>
> This month's presentations:
>
> Wikipedia for health information - Situating Wikipedia as a health
> information resource
>
> By Denise Smith (McMaster University, Health Sciences Library & Western
> University, Faculty of Information & Media Studies)
>
> Wikipedia is the most frequently accessed web site for health information,
> but the various ways users engage with Wikipedia’s health content has not
> been thoroughly investigated or reported. This talk will summarize the
> findings of a comprehensive literature review published in February. It
> explores all the contexts in which Wikipedia’s health content is used that
> have been reported in academic literature. The talk will focus on the
> findings reported in this paper, the potential impact of this study in
> health and medical librarianship, the practice of medicine, and medical or
> health education.
>
>
>-
>
>D.A. Smith (2020). "Situating Wikipedia as a health information
>resource in various contexts: A scoping review". PLoS ONE.
>https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228786
>
>
>
> COVID-19 research in Wikipedia
>
> By Giovanni Colavizza (University of Amsterdam, Netherlands)
>
> Wikipedia is one of the main sources of free knowledge on the Web. During
> the first few months of the pandemic, over 4,500 new Wikipedia pages on
> COVID-19 have been created and have accumulated close to 250M pageviews by
> early April 2020.1 At the same time, an unprecedented amount of scientific
> articles on COVID-19 and the ongoing pandemic have been published online.
> Wikipedia’s contents are based on reliable sources, primarily scientific
> literature. Given its public function, it is crucial for Wikipedia to rely
> on representative and reliable scientific results, especially so in a time
> of crisis. We assess the coverage of COVID-19-related research in Wikipedia
> via citations. We find that Wikipedia editors are integrating new research
> at an unprecedented fast pace. While doing so, they are able to provide a
> largely representative coverage of COVID-19-related research. We show that
> all the main topics discussed in this literature are proportionally
> represented from Wikipedia, after accounting for article-level effects. We
> further use regression analyses to model citations from Wikipedia and show
> that, despite the pressure to keep up with novel results, Wikipedia editors
> rely on literature which is highly cited, widely shared on social media,
> and has been peer-reviewed.
>
>
>-
>
>G. Colavizza (2020). "COVID-19 research in Wikipedia". bioRxiv.
>https://www.biorxiv.org/content/10.1101/2020.05.10.087643v2
>
>
> --
> Janna Layton (she/her)
> Administrative Assistant - Product & Technology
> Wikimedia Foundation 
>
> --
> Janna Layton (she/her)
> Administrative Assistant - Product & Technology
> Wikimedia Foundation 
>


-- 
Janna Layton (she/her)
Administrative Assistant - Product & Technology
Wikimedia Foundation 
___
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https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and 
https://meta.wikimedia.org/wiki/Wikimedia-l
New messages to: Wikimedia-l@lists.wikimedia.org
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[Wikimedia-l] [Wikimedia Research Showcase] July 15, 2020: Medical Knowledge on Wikipedia

[Janna Layton]

Hi all,

The next Research Showcase will be live-streamed on Wednesday, July 15, at
9:30 AM PDT/16:30 UTC.

Wikipedia is one of the most important online resources for health
information. This has been especially highlighted during the Covid-19
pandemic: since the beginning of the year more than 5000 articles related
to Covid-19 have been created receiving more than 400M pageviews.
Therefore, for this month’s showcase our two invited speakers will help us
get a better understanding of the state of medical knowledge in Wikipedia.
In the first talk, Denise Smith will give an overview on how Wikipedia's
health content is used by different audiences (public, students, or
practitioners). In the second talk, Giovanni Colavizza will present results
on how editors on Wikipedia find, select, and integrate scientific
information on Covid-19 into Wikipedia articles.

YouTube stream: https://www.youtube.com/watch?v=qIV26lWrD9c

As usual, you can join the conversation on IRC at #wikimedia-research. You
can also watch our past research showcases here:
https://www.mediawiki.org/wiki/Wikimedia_Research/Showcase

This month's presentations:

Wikipedia for health information - Situating Wikipedia as a health
information resource

By Denise Smith (McMaster University, Health Sciences Library & Western
University, Faculty of Information & Media Studies)

Wikipedia is the most frequently accessed web site for health information,
but the various ways users engage with Wikipedia’s health content has not
been thoroughly investigated or reported. This talk will summarize the
findings of a comprehensive literature review published in February. It
explores all the contexts in which Wikipedia’s health content is used that
have been reported in academic literature. The talk will focus on the
findings reported in this paper, the potential impact of this study in
health and medical librarianship, the practice of medicine, and medical or
health education.


   -

   D.A. Smith (2020). "Situating Wikipedia as a health information resource
   in various contexts: A scoping review". PLoS ONE.
   https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0228786



COVID-19 research in Wikipedia

By Giovanni Colavizza (University of Amsterdam, Netherlands)

Wikipedia is one of the main sources of free knowledge on the Web. During
the first few months of the pandemic, over 4,500 new Wikipedia pages on
COVID-19 have been created and have accumulated close to 250M pageviews by
early April 2020.1 At the same time, an unprecedented amount of scientific
articles on COVID-19 and the ongoing pandemic have been published online.
Wikipedia’s contents are based on reliable sources, primarily scientific
literature. Given its public function, it is crucial for Wikipedia to rely
on representative and reliable scientific results, especially so in a time
of crisis. We assess the coverage of COVID-19-related research in Wikipedia
via citations. We find that Wikipedia editors are integrating new research
at an unprecedented fast pace. While doing so, they are able to provide a
largely representative coverage of COVID-19-related research. We show that
all the main topics discussed in this literature are proportionally
represented from Wikipedia, after accounting for article-level effects. We
further use regression analyses to model citations from Wikipedia and show
that, despite the pressure to keep up with novel results, Wikipedia editors
rely on literature which is highly cited, widely shared on social media,
and has been peer-reviewed.


   -

   G. Colavizza (2020). "COVID-19 research in Wikipedia". bioRxiv.
   https://www.biorxiv.org/content/10.1101/2020.05.10.087643v2


-- 
Janna Layton (she/her)
Administrative Assistant - Product & Technology
Wikimedia Foundation 

-- 
Janna Layton (she/her)
Administrative Assistant - Product & Technology
Wikimedia Foundation 
___
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https://meta.wikimedia.org/wiki/Mailing_lists/Guidelines and 
https://meta.wikimedia.org/wiki/Wikimedia-l
New messages to: Wikimedia-l@lists.wikimedia.org
Unsubscribe: https://lists.wikimedia.org/mailman/listinfo/wikimedia-l,