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

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Re: [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 <[hidden email]> 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 <https://wikimediafoundation.org/>
>
> --
> Janna Layton (she/her)
> Administrative Assistant - Product & Technology
> Wikimedia Foundation <https://wikimediafoundation.org/>
>


--
Janna Layton (she/her)
Administrative Assistant - Product & Technology
Wikimedia Foundation <https://wikimediafoundation.org/>
_______________________________________________
Wiki-research-l mailing list
[hidden email]
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
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Re: [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 <[hidden email]> 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 <[hidden email]>
> 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 <https://wikimediafoundation.org/>
>>
>> --
>> Janna Layton (she/her)
>> Administrative Assistant - Product & Technology
>> Wikimedia Foundation <https://wikimediafoundation.org/>
>>
>
>
> --
> Janna Layton (she/her)
> Administrative Assistant - Product & Technology
> Wikimedia Foundation <https://wikimediafoundation.org/>
>


--
Janna Layton (she/her)
Administrative Assistant - Product & Technology
Wikimedia Foundation <https://wikimediafoundation.org/>
_______________________________________________
Wiki-research-l mailing list
[hidden email]
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l