Thanks once again for writing up your thoughts, Kerry. All very interesting.
Your comment about 'reflection of the real world' caught my eye. I believe
that the real world is moving towards acknowledging that bias exists and
that it won't just go away on its own. I see web-based tools for assessing
the gender balance of citations; I see people studying bias in things like
hiring and promotion, as well as different strategies for addressing it; I
see organizations like VIDA (
) counting the number
of female writers in different journals, and journals responding because
the imbalance is known and public. I think the real world is moving towards
acknowledging and proactively addressing inequity. If the Wikipedia
community is not studying its biases and designing tools and strategies for
addressing them, it is not reflecting the world, but lagging behind it.
Frankly, if a few shouting misogynist have a problem with such initiatives,
I don't mind :) It sounds like my citation-tag idea doesn't make too much
sense, but I'd love to hear any other thoughts.
Greg
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----------------------------------------------------------------------
Message: 1
Date: Thu, 29 Aug 2019 08:26:45 +1000
From: "Kerry Raymond" <kerry.raymond(a)gmail.com>
To: "'Research into Wikimedia content and communities'"
<wiki-research-l(a)lists.wikimedia.org>rg>, <jane023(a)gmail.com>
Subject: Re: [Wiki-research-l] gender balance of Wikipedia citations
Message-ID: <006701d55def$aea84d50$0bf8e7f0$(a)gmail.com>
Content-Type: text/plain; charset="UTF-8"
FWIW, I think there would be pushback against a quality tag that
highlighted little/no citation of women's work (whether we are talking
first author or not) in an article. There's two reasons for this. One is
the misogyny that really does exist within the English Wikipedia
"community" (those who do most of the shouting and hence decision making);
they will argue that firstly gender balance of citations doesn't matter,
secondly it is a reflection of the real world and thirdly that Wikipedia
has a policy that it is not there to Right Great Wrongs.
More practically, we know that whole-of-article quality tagging doesn't
tend to have a lot of impact in terms getting people to fix anything,
compared to more specific tags like "citation needed", "dubious",
"says
who" and so on placed on specific pieces of text. People are much more
likely to fix a specific problem and then remove the specific tag. Even
when a person does respond to a generic tag like "more references needed"
and add in some more references, they rarely remove the generic tag
thinking "well, there's still plenty of scope here to add more
references".
Who among us is willing to declare "that article is 100% fully referenced
by reliable sources"? Nobody it seems, it's a tag that lingers forever ...
So I think a specific tag to encourage the expansion of "Bloggs et al"
citations to full author listings might work. It's a somewhat boring and
mechanical task to expand "et al" but we do have people who are happy to
contribute in that way. It might even be possible to build a tool to assist
them which looks up the paper in WikiCite or Google Scholar etc to extract
the full author list as published (just as we have tools to make it easier
to typo and spelling fixes, disambiguate links and so forth). That would
address the problem of women authors not being first cited and lost in the
mists of "et al". However, as it is unlikely to be obvious to the average
contributor that the paper with the full author list of A.B. Brown, C.D.
Jones, E.F. Smith and G.H. Walker does or doesn't have any female authors,
so I can't see that it's going to be easy to motivate people to try to find
additional citations which do have more female authors.
And, as much as gender equity is a wrong I'd like to see rightened, I
don't want to see campaigns just to "add in more female authored
citations"
(I call this "citation sprinkling") on Wikipedia. A citation has to be
there because it verifies the information in the article and not to meet a
gender quota. Remember that for a lot of Wikipedia contributors, academic
literature is mostly behind a paywall so they can't actually read more than
the title and abstract at best. A "sprinkling" campaign is likely to see
citations based only on title and abstract ("well, it sounds like this
paper which includes a woman author is talking about this topic") but the
paper may not support the specific claim made in the text (indeed, it might
say the exact opposite). A sprinkling campaign should only target the
Further Reading section whose role is:
"The Further reading section of an article contains a bulleted list of a
reasonable number of works which a reader may consult for additional and
more detailed coverage of the subject of the article. In articles with
numerous footnotes, it probably is not obvious which ones are suitable for
further reading. The "Further reading" section can help the readers by
listing selected titles without worrying about duplications."
which would avoid the risk of adding a citation that doesn't support the
specific claims being made in the article. So maybe it would be possible to
add a "skewed gender balance" tag onto the Further reading section and/or
External links section whose role is
"Some acceptable links include those that contain further research that is
accurate and on-topic, information that could not be added to the article
for reasons such as copyright or amount of detail, or other meaningful,
relevant content that is not suitable for inclusion in an article for
reasons unrelated to its accuracy."
The downside is this idea for adding female authors to the Further
Reading and External Links sections is whether anyone ever looks at them.
Currently over 50% of Wikipedia hits are now via mobile device. The mobile
render of a Wikipedia article is not the whole article as you see on
desktop and laptop but rather you select the sections you want to read, so
for mobile readers we do know precisely what sections they are opening from
which we have learned that people in developed countries are not generally
reading whole articles but specific sections (suggesting seeking answers to
a specific need rather than a desire to fully appreciate the topic), and
they don't tend to open anything after the References as a rule, so they
aren't looking at Further Reading and External links anyway. Are
desktop/laptop readers looking at them either? We don't really know as they
get the whole article rendered as a single result and it would really only
be eye-tracking studies (an expensive type of experiment) that would give
us this insight with the same accuracy as our mobile data.
Aside, in less developed countries, readers are more likely to read whole
articles on a mobile device. While the reasons for this different are not
proven, I'd be prepared to guess at two interlinked hypotheses. Firstly,
such countries have poorer standards of education so people may be using
Wikipedia to supplement their limited formal education. Also such countries
are more likely to be using rote learning in their education system
(valuing the ability to memorise and reproduce) rather than the more
problem-solving learning approaches increasingly in use in the education
systems of more developed countries. That would also explain
whole-of-article viewing rather than selecting specific sub-sections.
In some ways, I think a better solution might be to try to get Google
scholar interested in the issue of gender. What if articles listed on
Google scholar came with a little gender balance score (a bit like hotel
ratings). One blue star (or some other symbol) for one male author, two
blue stars (two male authors), one pink and one blue star (first author
female, second author male), etc. Why I like the idea is that it is a
simple-to-understand visual aid to draw attention to gender imbalance more
widely but without a specific call to action (which as I outline above may
backfire if citations get added for gender balance rather than content). It
potentially helps address the real world problem which would hopefully flow
through to Wikipedia. Also Google Scholar is probably a lot better
resourced to build the tools to do the legwork of determining gender (I
guess a white star is used when it can't). The risks though that Leia has
previously mentioned is that automated tools don't do a great job of
getting gender correct particularly as the tools are often trained on
limited data sets such as mostly white people making the automated gender
guessing of non-white people more likely to be incorrect. However, as
authors can establish their own Google Scholar profile (if the author's
name is underlined, it's a link to their profile, that's a place where they
could disclose their gender if they desired or correct Google Scholar's
mistaken guess or demand that Google Scholar not show their gender
(whatever should be their choice). Hmm, might it lead to catfishing?
Authors passing themselves off as a different gender? Hmm ...
Another place we might explore is marking gender in some easily visible
way is in WikiCite but frankly I know little about that project so cannot
comment on it nor the merits of doing it there rather than on Google
scholar. I don't think traditional journal publishers are likely to be keen
to show gender balance on their own websites as I think they would realise
it would enable webscraping to reveal their overall gender balance profile,
leading to some adverse headlines about "Brandname journals worst for
gender equity". But Google Scholar has less to fear unless it was
demonstrated that they exhibited stronger gender bias than the journals
themselves but I would think that Google Scholar aggregates papers without
any regard to the gender of the authors, but I guess it might not aggregate
all topic areas equally. For example, if they didn't make much effort to
include (say) nursing publications (a more female academic discipline) but
went hard on engineering publications (a more male academic discipline), I
guess it would skew their author gender balance towards men.
Kerry
-----Original Message-----
From: Wiki-research-l [mailto:wiki-research-l-bounces@lists.wikimedia.org]
On Behalf Of Greg
Sent: Thursday, 29 August 2019 4:06 AM
To: Research into Wikimedia content and communities <
wiki-research-l(a)lists.wikimedia.org>gt;; jane023(a)gmail.com
Subject: Re: [Wiki-research-l] gender balance of Wikipedia citations
Hi Jane,
Thanks for the link. It's clear that there is a lot of work being done,
and even more left to do.
I've been thinking about what you said about second authors and was
wondering if instead of fixing it (or in addition to fixing it), it would
make sense to put some sort of tag on the page itself (like the ones I see
questioning notability or requests for additional citations). Something
along the lines of authors missing from a particular citation and how to
fix that, or no work by women cited in this article (if this is the case).
It strikes me that by fixing it yourself, you are doing great work, but
that maybe it also makes sense to spread awareness about these issues to
the broader editing community so more people are thinking about it/doing
it. At any rate, I thought I'd float the idea. Such a tag/the response (if
any), could also be interesting to study, though perhaps something like
this already exists and I'm just not aware of it, or perhaps there is good
reason not to do it.
All best,
Greg
On Tue, Aug 27, 2019 at 5:00 AM <
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Today's Topics:
1. Re: gender balance of wikipedia citations (Greg)
2. Re: gender balance of Wikipedia citations (Jane Darnell)
----------------------------------------------------------------------
Message: 1
Date: Mon, 26 Aug 2019 18:56:12 -0700
From: Greg <thenatureprogram(a)gmail.com>
To: Isaac Johnson <isaac(a)wikimedia.org>
Cc: Research into Wikimedia content and communities
<wiki-research-l(a)lists.wikimedia.org>
Subject: Re: [Wiki-research-l] gender balance of wikipedia citations
Message-ID:
<
CAOO9DNv92bVR2COT2XmpHDU5kJOvD0yD3bahG+6Fkuma+HYDEg(a)mail.gmail.com>
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Thanks, Isaac and Federico. These notes and links are very
helpful--and will require some time to process. As for how many years
I have to work on this, I'm retired! In truth, I keep hoping that
someone on this list will express interest in working on these
matters. The questions are all very interesting and quite relevant.
The idea of studying removed citations is both complex and compelling.
Greg
On Mon, Aug 26, 2019 at 6:49 AM Isaac Johnson <isaac(a)wikimedia.org>
wrote:
Regarding data, I have not been a part of these
projects but I think
that I can help a bit with working links:
* The (I believe) original dataset can also be found here:
https://analytics.wikimedia.org/datasets/archive/public-datasets/all/m
wrefs/
> * A newer version of this dataset was produced that also included
> information about whether the source was openly available and its
topic:
** Meta
page:
https://meta.wikimedia.org/wiki/Research:Towards_Modeling_Citation_Qua
lity
** Figshare:
https://figshare.com/articles/Accessibility_and_topics_of_citations_wi
th_identifiers_in_Wikipedia/6819710
On Mon, Aug 26, 2019 at 3:53 AM Federico Leva (Nemo)
<nemowiki(a)gmail.com
wrote:
> Greg, 22/08/19 06:19:
> > I do not know the current status of wikicite or if/when this
> > could be used for this inquiry--either to examine all, or a
> > sensible
> subset
> > of the citations.
>
> If I see correctly, you still did not receive an answer on the data
> available.
>
> It's true that the Figshare item for <
>
https://meta.wikimedia.org/wiki/Research:Scholarly_article_citations_i
n_Wikipedia
>
> was deleted (I've asked about it on the talk page), but it's
> trivial to run
https://pypi.org/project/mwcites/ and extract the
> data yourself, at least for citations which use an identifier.
>
> Some example datasets produced this way:
>
https://zenodo.org/record/15871
>
https://zenodo.org/record/55004
>
https://zenodo.org/record/54799
>
> Once you extract the list of works, the fun begins. You'll need to
> intersect with other data sources (Wikidata, ORCID, other?) and
> account for a number of factors until you manage to find a subset
> of the data which has a sufficiently high signal:noise ratio. For
> instance you might need to filter or normalise by
> * year of publication (some year recent enough to have good data
> but old enough to allow the work to be cited elsewhere, be archived
> after embargos);
> * country or institution (some probably have better ORCID
> coverage);
> * field/discipline and language;
> * open access status (per Unpaywall);
> * number of expected pageviews and clicks (for instance using
> <https://wikitech.wikimedia.org/wiki/Analytics/AQS/Pageviews> and <
https://meta.wikimedia.org/wiki/Research:Wikipedia_clickstream#Release
s>;
>>
>> a link from 10k articles on asteroids or proteins is not the same
>> as being the lone link from a popular article which is not the same
>> as a link buried among a thousand others on a big article);
>> * time or duration of the addition (with one of the various diff
>> extraction libraries, content persistence data or possibly
>> historical eventstream if such a thing is available).
>>
>> To avoid having to invent everything yourself, maybe you can reuse
>> the method of some similar study, for instance the one on the open
>> access citation advantage or one of the many which studied the
>> gender imbalance of citations and peer review in journals.
>>
>> However, it's very possible that the noise is just too much for a
>> general computational method. You might consider a more manual
>> approach on a sample of relevant events, for instance the *removal*
>> of citations, which is in my opinion more significant than the
>> addition.* You might extract all the diffs which removed a citation
>> from an article in the last N years (probably they'll be in the
>> order of 10^5 rather than 10^6), remove some massive events or
>> outliers, sample 500-1000 of them randomly and verify the required
data
manually.
>>
>> As usual it will be impossible to have an objective assessment of
>> whether that citation was really (in)appropriate in that context
>> according to the (English or whatever) Wikipedia guidelines. To
>> test that too, you should replicate one of the various studies of
>> the gender imbalance of peer review, perhaps one of those which
>> tried to assess the impact of a double blind peer review system on
the
gender imbalance.
However, because the sources are already published,
you'd need to
provide the agendered information yourself and make sure the
participants perform their assessment in some controlled
environment where they don't have access to any gendered
information (i.e. where you cut them off the internet).
How many years do you have to work on this project? :-)
Federico
(*) I might add a citation just because it's the first result a
popular search engine gives me, after glancing at the abstract and
maybe the journal home page; but if I remove an existing citation,
hopefully I've at least assessed its content and made a judgement
about it, apart from cases of mass removals for specific problems
with certain articles or publication venues.
_______________________________________________
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--
Isaac Johnson -- Research Scientist -- Wikimedia Foundation
------------------------------
Message: 2
Date: Tue, 27 Aug 2019 08:00:45 +0200
From: Jane Darnell <jane023(a)gmail.com>
To: Research into Wikimedia content and communities
<wiki-research-l(a)lists.wikimedia.org>
Subject: Re: [Wiki-research-l] gender balance of Wikipedia citations
Message-ID:
<CAFVcA-HqVicR0k65J4iox0PD=
oc3HBPMZLfXVO5zqkFD+EnSxQ(a)mail.gmail.com>
Content-Type: text/plain; charset="UTF-8"
Greg,
Yes that's what I meant. On Wikipedia you get what you measure, so
many Wikipedians are page-creators and page-hit junkies because we can
measure that. The trick to motivating editors is giving them other
measurements for progress. Here is the link to the Women writers
Wikiproject and as you scroll down you can see what is measured.
https://en.wikipedia.org/wiki/Wikipedia:WikiProject_Women_writers
Jane
On Tue, Aug 27, 2019 at 3:39 AM Greg <thenatureprogram(a)gmail.com> wrote:
Thanks for sharing your experience and thoughts,
Jane. I did not
know
this
was happening--I'm hardly an expert, so
that's not surprising, and
yet
it's
still very troubling to hear. I'm not sure
what you mean by setting
up a Wikiproject. Do you mean of ways for how to study this
gap--i.e., the
ideas
that have been floated in this thread to this
point? Or are you
thinking
of
something else?
Greg
On Mon, Aug 26, 2019 at 5:00 AM <
wiki-research-l-request(a)lists.wikimedia.org>
wrote:
> Send Wiki-research-l mailing list submissions to
> wiki-research-l(a)lists.wikimedia.org
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> To subscribe or unsubscribe via the World Wide Web, visit
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> When replying, please edit your Subject line so it is more
> specific than "Re: Contents of Wiki-research-l digest..."
>
>
> Today's Topics:
>
> 1. Re: gender balance of Wikipedia citations (WereSpielChequers)
> 2. Re: gender balance of Wikipedia citations (Greg)
> 3. Re: sockpuppets and how to find them sooner (Federico Leva
(Nemo))
4. Re:
gender balance of Wikipedia citations (Jane Darnell)
5. Re: gender balance of wikipedia citations (Federico Leva
(Nemo))
------------------------------------------------------------------
----
Message: 1
Date: Sun, 25 Aug 2019 14:28:25 +0100
From: WereSpielChequers <werespielchequers(a)gmail.com>
To: Research into Wikimedia content and communities
<wiki-research-l(a)lists.wikimedia.org>
Subject: Re: [Wiki-research-l] gender balance of Wikipedia
citations
Message-ID:
<CAAanWP3qJnMpLB4tr9Eqt4EJLg2kCihkb50UY-d8=
ShNONhSAA(a)mail.gmail.com>
Content-Type: text/plain; charset="UTF-8"
Hi Greg,
One of the major step changes in the early growth of the English
Wikipedia
> was when a bot called RamBot created stub articles on US places. I
think
> they were cited to the census. Others have
created articles on
> rivers
in
countries
and various other topics by similar programmatic means.
Nowadays
> such article creation is unlikely to get consensus on the English
> Wikipedia, but there are some languages which are very open to
> such creations and have them by the million.
>
> I'm not sure if the fastest updating of existing articles is
> automated
or
> just semiautomated. But looking at the bot
requests page, it
> certainly looks like some people are running such maintenance bots
> "updating GDP
by
> country" is a current bot request.
>
https://en.wikipedia.org/wiki/Wikipedia:Bot_requests.
>
> I'm not sure how "the ease of a source for purposes of converting
> into
a
> table and generating a separate article for
each row" relates to
gender.
> > But i suspect "number of times cited in wikipedia" deserves less
> > kudos
> than
> > "number of times cited in academia".
> >
> > WSC
> >
> > On Sun, 25 Aug 2019 at 05:22, Greg <thenatureprogram(a)gmail.com>
wrote:
>
> > Thanks again, Kerry. I am hoping that someone with access to
> > more
> resources
> > (knowledge, support, etc) than I have will look into this.
> >
> > A few more thoughts/questions:
> >
> > 1. The link to the citation dataset from the Medium article
> > ("What
are
> > the
> > > ten most cited sources on Wikipedia? Let’s ask the data.") is
broken.
> 2. As far as I can tell, every named author in
the top ten most
> cited sources on Wikipedia is male. One piece is by a working
> group 3. This line from the Medium piece struck me: "Many of
> these
publications
> > have been cited by Wikipedians across large series of articles
> > using powerful bots and automated tools."
> >
> > Are citations being added by bots? I'm not sure that I
> > understand
that
> line
> > correctly.
> >
> > Greg
> >
> >
> >
> >
> >
>
>
> ------------------------------
>
> Message: 2
> Date: Sun, 25 Aug 2019 21:16:25 -0700
> From: Greg <thenatureprogram(a)gmail.com>
> To: wiki-research-l(a)lists.wikimedia.org
> Subject: Re: [Wiki-research-l] gender balance of Wikipedia
> citations
> Message-ID:
> <CAOO9DNvGyfvJkzyRq60cSQi-T80mAkUa=
> vCPkzFbEysfGQqnVg(a)mail.gmail.com>
> Content-Type: text/plain; charset="UTF-8"
>
> Thanks, WSC. All very interesting.
>
> I've been thinking about Wiklpedia citations less in terms of
> kudos and more in terms of a feedback loop. The cited sources get
> a significant amount of attention (1 click per 200 pageviews is
> the number I saw recently). When I imagine total Wikipedia
> traffic, that's huge. How
many
students
are finding sources this way? How many academics? And how
many
of
> these citations are finding their way back into academic
> publications
via
this
mechanism?
Assuming this is happening to some degree, the gender imbalance of
the citations is also reflected. If the Wikipedia imbalance is the
same as
the
one in academia, that's one thing; if it is
better on Wikipedia
than it
is
> in academia, that's reason to celebrate; if the balance is worse,
that's
> concerning. In fact, if the gender imbalance
conforms to my fears
instead
of my
hopes, and is magnified by the massive website traffic, I
imagine
it
> could even explain the growth in the citation disparity
> researchers
note
in
their study of political science texts. (I link
to that study in a
previous
post; it was mentioned in the Washington Post
recently)
There is a very real possibility that Wikipedia is making the
citation gender gap worse. I think we need to understand what is
happening and
take
immediate action if the news is not good.
Greg
>
>
>
------------------------------
Message: 3
Date: Mon, 26 Aug 2019 10:59:07 +0300
From: "Federico Leva (Nemo)" <nemowiki(a)gmail.com>
To: Research into Wikimedia content and communities
<wiki-research-l(a)lists.wikimedia.org>rg>, Aaron Halfaker
<ahalfaker(a)wikimedia.org>rg>, Kerry Raymond <
kerry.raymond(a)gmail.com>
Subject: Re: [Wiki-research-l] sockpuppets and
how to find them
sooner
Message-ID: <cf2734ff-d2cf-3108-691f-8ecf46125ed7(a)gmail.com>
Content-Type: text/plain; charset=utf-8; format=flowed
Please everyone avoid using jargon specific to the English
Wikipedia on this cross-language and cross-wiki mailing list.
Aaron Halfaker, 23/08/19 17:36:
> I think embeddings[1] would be a nice way to create a signature.
There is some discussion of acceptable user fingerprinting
(presumably to be available to CheckUsers only), other than the
usual over-reliance on IP addresses, in particular at <
https://meta.wikimedia.org/wiki/Talk:IP_Editing:_Privacy_Enhancement_and_Ab…
> > >.
> >
> > Federico
> >
> >
> >
> > ------------------------------
> >
> > Message: 4
> > Date: Mon, 26 Aug 2019 10:17:46 +0200
> > From: Jane Darnell <jane023(a)gmail.com>
> > To: Research into Wikimedia content and communities
> > <wiki-research-l(a)lists.wikimedia.org>
> > Subject: Re: [Wiki-research-l] gender balance of Wikipedia citations
> > Message-ID:
> > <CAFVcA-G87k26nBMr=-e-+C8o6eG0KQvVihH=
> > f4M40faVNbKkqw(a)mail.gmail.com>
> > Content-Type: text/plain; charset="UTF-8"
> >
> > Greg,
> > Thanks for worrying. This is a known problem and yes, Wikipedia
> contributes
> > to the Gendergap in citations and no, it's not an easy fix, since it
is
> the
> > fault of systemic bias in academia. So fewer women are head author on
> > scientific publications, and it is generally only the head author
that
gets
> cited on Wikipedia. This is not just a problem with written works in
the
> > field of politics. I spend most of my time working on paintings and
> their
> > documented catalogs, so generally I only notice and fix this problem
in
art
> catalogs. Women rarely appear as lead author mentioned. I will always
add
> > them in to descriptions when I add items for their works on Wikidata,
> but I
> > can not always find them! Sometimes I can't even create items for
them
>
because all I have is a name and a work and nothing else available
online
> > anywhere. You see this most often with women who spent entire careers
> > working at a single institution and the institution doesn't bother to
> > promote their work or even list them in exhibition catalogs. With
luck
>
there might be a local obituary, but not always. If you have
suggestions
> > how to set up a Wikiproject to tackle this it would be a good idea.
In
my
onwiki
experience the Women-in-Red community can be very positive in
their
> response to gendergap-related issues for women writers.
> Jane
>
> On Mon, Aug 26, 2019 at 6:17 AM Greg <thenatureprogram(a)gmail.com>
wrote:
>
> > Thanks, WSC. All very interesting.
> >
> > I've been thinking about Wiklpedia citations less in terms of kudos
and
> > > more in terms of a feedback loop. The cited sources get a
significant
> amount of attention (1 click per 200 pageviews is
the number I saw
> recently). When I imagine total Wikipedia traffic, that's huge. How
many
> > students are finding sources this way? How many academics? And how
many
> > of
> > > these citations are finding their way back into academic
publications
via
> > this mechanism?
> >
> > Assuming this is happening to some degree, the gender imbalance of
the
> > citations is also reflected. If the
Wikipedia imbalance is the same
as
> > the
> > > one in academia, that's one thing; if it is better on Wikipedia
than
it
is
> in academia, that's reason to celebrate; if the balance is worse,
that's
> concerning. In fact, if the gender imbalance
conforms to my fears
instead
> > of my hopes, and is magnified by the massive website traffic, I
imagine
it
> could even explain the growth in the citation disparity researchers
note
> in
> > their study of political science texts. (I link to that study in a
> previous
> > post; it was mentioned in the Washington Post recently)
> >
> > There is a very real possibility that Wikipedia is making the
citation
> > > gender gap worse. I think we need to understand what is happening
and
> > take
> > > immediate action if the news is not good.
> > >
> > > Greg
> > >
> > > >
> > > >
> > > >
> > > _______________________________________________
> > > Wiki-research-l mailing list
> > > Wiki-research-l(a)lists.wikimedia.org
> > >
https://lists.wikimedia.org/mailman/listinfo/wiki-research-l
> > >
> >
> >
> > ------------------------------
> >
> > Message: 5
> > Date: Mon, 26 Aug 2019 11:45:09 +0300
> > From: "Federico Leva (Nemo)" <nemowiki(a)gmail.com>
> > To: Research into Wikimedia content and communities
> > <wiki-research-l(a)lists.wikimedia.org>rg>, Greg
> > <thenatureprogram(a)gmail.com>
> > Subject: Re: [Wiki-research-l] gender balance of wikipedia citations
> > Message-ID: <835202af-4653-641e-782e-c619458bdd7f(a)gmail.com>
> > Content-Type: text/plain; charset=utf-8; format=flowed
> >
> > Greg, 22/08/19 06:19:
> > > I do not know the current status of wikicite or if/when this
> > > could be used for this inquiry--either to examine all, or a
sensible
subset
> of the citations.
If I see correctly, you still did not receive an answer on the data
available.
It's true that the Figshare item for
<
https://meta.wikimedia.org/wiki/Research:Scholarly_article_citations_in_Wik…
> >
> >
> > was deleted (I've asked about it on the talk page), but it's trivial
to
> run
https://pypi.org/project/mwcites/ and extract the data yourself,
at
> > least for citations which use an identifier.
> >
> > Some example datasets produced this way:
> >
https://zenodo.org/record/15871
> >
https://zenodo.org/record/55004
> >
https://zenodo.org/record/54799
> >
> > Once you extract the list of works, the fun begins. You'll need to
> > intersect with other data sources (Wikidata, ORCID, other?) and
account
> for
a number of factors until you manage to find a subset of the data
> which has a sufficiently high signal:noise ratio. For instance you
might
> need to filter or normalise by
> * year of publication (some year recent enough to have good data but
old
> enough to allow the work to be cited
elsewhere, be archived after
> embargos);
> * country or institution (some probably have better ORCID coverage);
> * field/discipline and language;
> * open access status (per Unpaywall);
> * number of expected pageviews and clicks (for instance using
> <https://wikitech.wikimedia.org/wiki/Analytics/AQS/Pageviews> and
> <
https://meta.wikimedia.org/wiki/Research:Wikipedia_clickstream#Releases
> >;
> >
> > a link from 10k articles on asteroids or proteins is not the same as
> > being the lone link from a popular article which is not the same as a
> > link buried among a thousand others on a big article);
> > * time or duration of the addition (with one of the various diff
> > extraction libraries, content persistence data or possibly historical
> > eventstream if such a thing is available).
> >
> > To avoid having to invent everything yourself, maybe you can reuse
the
>
method of some similar study, for instance the one on the open access
> citation advantage or one of the many which studied the gender
imbalance
> > of citations and peer review in journals.
> >
> > However, it's very possible that the noise is just too much for a
> > general computational method. You might consider a more manual
approach
> on a
sample of relevant events, for instance the *removal* of
citations,
> > which is in my opinion more significant than the addition.* You might
> > extract all the diffs which removed a citation from an article in the
> > last N years (probably they'll be in the order of 10^5 rather than
> > 10^6), remove some massive events or outliers, sample 500-1000 of
them
> > randomly and verify the required data
manually.
> >
> > As usual it will be impossible to have an objective assessment of
> > whether that citation was really (in)appropriate in that context
> > according to the (English or whatever) Wikipedia guidelines. To test
> > that too, you should replicate one of the various studies of the
gender
>
imbalance of peer review, perhaps one of those which tried to assess
the
> impact of a double blind peer review system
on the gender imbalance.
> However, because the sources are already published, you'd need to
> provide the agendered information yourself and make sure the
> participants perform their assessment in some controlled environment
> where they don't have access to any gendered information (i.e. where
you
> > cut them off the internet).
> >
> > How many years do you have to work on this project? :-)
> >
> > Federico
> >
> > (*) I might add a citation just because it's the first result a
popular
> > search engine gives me, after glancing
at the abstract and maybe the
> > journal home page; but if I remove an existing citation, hopefully
I've
> > at least assessed its content and made
a judgement about it, apart
from
cases of mass removals for specific problems with
certain articles or
publication venues.
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