This paper (first reference) is the result of a class project I was part of
almost two years ago for CSCI 5417 Information Retrieval Systems. It builds
on a class project I did in CSCI 5832 Natural Language Processing and which
I presented at Wikimania '07. The project was very late as we didn't send
the final paper in until the day before new years. This technical report was
never really announced that I recall so I thought it would be interesting to
look briefly at the results. The goal of this paper was to break articles
down into surface features and latent features and then use those to study
the rating system being used, predict article quality and rank results in a
search engine. We used the [[random forests]] classifier which allowed us to
analyze the contribution of each feature to performance by looking directly
at the weights that were assigned. While the surface analysis was performed
on the whole english wikipedia, the latent analysis was performed on the
simple english wikipedia (it is more expensive to compute). = Surface
features = * Readability measures are the single best predictor of quality
that I have found, as defined by the Wikipedia Editorial Team (WET). The
[[Automated Readability Index]], [[Gunning Fog Index]] and [[Flesch-Kincaid
Grade Level]] were the strongest predictors, followed by length of article
html, number of paragraphs, [[Flesh Reading Ease]], [[Smog Grading]], number
of internal links, [[Laesbarhedsindex Readability Formula]], number of words
and number of references. Weakly predictive were number of to be's, number
of sentences, [[Coleman-Liau Index]], number of templates, PageRank, number
of external links, number of relative links. Not predictive (overall - see
the end of section 2 for the per-rating score breakdown): Number of h2 or
h3's, number of conjunctions, number of images*, average word length, number
of h4's, number of prepositions, number of pronouns, number of interlanguage
links, average syllables per word, number of nominalizations, article age
(based on page id), proportion of questions, average sentence length. :*
Number of images was actually by far the single strongest predictor of any
class, but only for Featured articles. Because it was so good at picking out
featured articles and somewhat good at picking out A and G articles the
classifier was confused in so many cases that the overall contribution of
this feature to classification performance is zero. :* Number of external
links is strongly predictive of Featured articles. :* The B class is highly
distinctive. It has a strong "signature," with high predictive value
assigned to many features. The Featured class is also very distinctive. F, B
and S (Stop/Stub) contain the most information.
:* A is the least distinct class, not being very different from F or G. =
Latent features = The algorithm used for latent analysis, which is an
analysis of the occurence of words in every document with respect to the
link structure of the encyclopedia ("concepts"), is [[Latent Dirichlet
Allocation]]. This part of the analysis was done by CS PhD student Praful
Mangalath. An example of what can be done with the result of this analysis
is that you provide a word (a search query) such as "hippie". You can then
look at the weight of every article for the word hippie. You can pick the
article with the largest weight, and then look at its link network. You can
pick out the articles that this article links to and/or which link to this
article that are also weighted strongly for the word hippie, while also
contributing maximally to this articles "hippieness". We tried this query in
our system (LDA), Google (site:en.wikipedia.org hippie), and the Simple
English Wikipedia's Lucene search engine. The breakdown of articles occuring
in the top ten search results for this word for those engines is: * LDA
only: [[Acid rock]], [[Aldeburgh Festival]], [[Anne Murray]], [[Carl
Radle]], [[Harry Nilsson]], [[Jack Kerouac]], [[Phil Spector]], [[Plastic
Ono Band]], [[Rock and Roll]], [[Salvador Allende]], [[Smothers brothers]],
[[Stanley Kubrick]]. * Google only: [[Glam Rock]], [[South Park]]. * Simple
only: [[African Americans]], [[Charles Manson]], [[Counterculture]], [[Drug
use]], [[Flower Power]], [[Nuclear weapons]], [[Phish]], [[Sexual
liberation]], [[Summer of Love]] * LDA & Google & Simple: [[Hippie]],
[[Human Be-in]], [[Students for a democratic society]], [[Woodstock
festival]] * LDA & Google: [[Psychedelic Pop]] * Google & Simple: [[Lysergic
acid diethylamide]], [[Summer of Love]] ( See the paper for the articles
produced for the keywords philosophy and economics ) = Discussion /
Conclusion = * The results of the latent analysis are totally up to your
perception. But what is interesting is that the LDA features predict the WET
ratings of quality just as well as the surface level features. Both feature
sets (surface and latent) both pull out all almost of the information that
the rating system bears. * The rating system devised by the WET is not
distinctive. You can best tell the difference between, grouped together,
Featured, A and Good articles vs B articles. Featured, A and Good articles
are also quite distinctive (Figure 1). Note that in this study we didn't
look at Start's and Stubs, but in earlier paper we did. :* This is
interesting when compared to this recent entry on the YouTube blog. "Five
Stars Dominate Ratings"
http://youtube-global.blogspot.com/2009/09/five-stars-dominate-ratings.html…
I think a sane, well researched (with actual subjects) rating system
is
well within the purview of the Usability Initiative. Helping people find and
create good content is what Wikipedia is all about. Having a solid rating
system allows you to reorganized the user interface, the Wikipedia
namespace, and the main namespace around good content and bad content as
needed. If you don't have a solid, information bearing rating system you
don't know what good content really is (really bad content is easy to spot).
:* My Wikimania talk was all about gathering data from people about articles
and using that to train machines to automatically pick out good content. You
ask people questions along dimensions that make sense to people, and give
the machine access to other surface features (such as a statistical measure
of readability, or length) and latent features (such as can be derived from
document word occurence and encyclopedia link structure). I referenced page
262 of Zen and the Art of Motorcycle Maintenance to give an example of the
kind of qualitative features I would ask people. It really depends on what
features end up bearing information, to be tested in "the lab". Each word is
an example dimension of quality: We have "*unity, vividness, authority,
economy, sensitivity, clarity, emphasis, flow, suspense, brilliance,
precision, proportion, depth and so on.*" You then use surface and latent
features to predict these values for all articles. You can also say, when a
person rates this article as high on the x scale, they also mean that it has
has this much of these surface and these latent features.
= References =
- DeHoust, C., Mangalath, P., Mingus., B. (2008). *Improving search in
Wikipedia through quality and concept discovery*. Technical Report.
PDF<http://grey.colorado.edu/mediawiki/sites/mingus/images/6/68/DeHoustMangalat…>
- Rassbach, L., Mingus., B, Blackford, T. (2007). *Exploring the
feasibility of automatically rating online article quality*. Technical
Report. PDF<http://grey.colorado.edu/mediawiki/sites/mingus/images/d/d3/RassbachPincock…>
Hoi,
I have asked and received permission to forward to you all this most
excellent bit of news.
The linguist list, is a most excellent resource for people interested in the
field of linguistics. As I mentioned some time ago they have had a funding
drive and in that funding drive they asked for a certain amount of money in
a given amount of days and they would then have a project on Wikipedia to
learn what needs doing to get better coverage for the field of linguistics.
What you will read in this mail that the total community of linguists are
asked to cooperate. I am really thrilled as it will also get us more
linguists interested in what we do. My hope is that a fraction will be
interested in the languages that they care for and help it become more
relevant. As a member of the "language prevention committee", I love to get
more knowledgeable people involved in our smaller projects. If it means that
we get more requests for more projects we will really feel embarrassed with
all the new projects we will have to approve because of the quality of the
Incubator content and the quality of the linguistic arguments why we should
approve yet another language :)
NB Is this not a really clever way of raising money; give us this much in
this time frame and we will then do this as a bonus...
Thanks,
GerardM
---------- Forwarded message ----------
From: LINGUIST Network <linguist(a)linguistlist.org>
Date: Jun 18, 2007 6:53 PM
Subject: 18.1831, All: Call for Participation: Wikipedia Volunteers
To: LINGUIST(a)listserv.linguistlist.org
LINGUIST List: Vol-18-1831. Mon Jun 18 2007. ISSN: 1068 - 4875.
Subject: 18.1831, All: Call for Participation: Wikipedia Volunteers
Moderators: Anthony Aristar, Eastern Michigan U <aristar(a)linguistlist.org>
Helen Aristar-Dry, Eastern Michigan U <hdry(a)linguistlist.org>
Reviews: Laura Welcher, Rosetta Project
<reviews(a)linguistlist.org>
Homepage: http://linguistlist.org/
The LINGUIST List is funded by Eastern Michigan University,
and donations from subscribers and publishers.
Editor for this issue: Ann Sawyer <sawyer(a)linguistlist.org>
================================================================
To post to LINGUIST, use our convenient web form at
http://linguistlist.org/LL/posttolinguist.html
===========================Directory==============================
1)
Date: 18-Jun-2007
From: Hannah Morales < hannah(a)linguistlist.org >
Subject: Wikipedia Volunteers
-------------------------Message 1 ----------------------------------
Date: Mon, 18 Jun 2007 12:49:35
From: Hannah Morales < hannah(a)linguistlist.org >
Subject: Wikipedia Volunteers
Dear subscribers,
As you may recall, one of our Fund Drive 2007 campaigns was called the
"Wikipedia Update Vote." We asked our viewers to consider earmarking their
donations to organize an update project on linguistics entries in the
English-language Wikipedia. You can find more background information on this
at:
http://linguistlist.org/donation/fund-drive2007/wikipedia/index.cfm.
The speed with which we met our goal, thanks to the interest and generosity
of
our readers, was a sure sign that the linguistics community was enthusiastic
about the idea. Now that summer is upon us, and some of you may have a bit
more
leisure time, we are hoping that you will be able to help us get started on
the
Wikipedia project. The LINGUIST List's role in this project is a purely
organizational one. We will:
*Help, with your input, to identify major gaps in the Wikipedia materials or
pages that need improvement;
*Compile a list of linguistics pages that Wikipedia editors have identified
as
"in need of attention from an expert on the subject" or " does not cite any
references or sources," etc;
*Send out periodical calls for volunteer contributors on specific topics or
articles;
*Provide simple instructions on how to upload your entries into Wikipedia;
*Keep track of our project Wikipedians;
*Keep track of revisions and new entries;
*Work with Wikimedia Foundation to publicize the linguistics community's
efforts.
We hope you are as enthusiastic about this effort as we are. Just to help us
all
get started looking at Wikipedia more critically, and to easily identify an
area
needing improvement, we suggest that you take a look at the List of
Linguists
page at:
http://en.wikipedia.org/wiki/List_of_linguists. M
Many people are not listed there; others need to have more facts and
information
added. If you would like to participate in this exciting update effort,
please
respond by sending an email to LINGUIST Editor Hannah Morales at
hannah(a)linguistlist.org, suggesting what your role might be or which
linguistics
entries you feel should be updated or added. Some linguists who saw our
campaign
on the Internet have already written us with specific suggestions, which we
will
share with you soon.
This update project will take major time and effort on all our parts. The
end
result will be a much richer internet resource of information on the breadth
and
depth of the field of linguistics. Our efforts should also stimulate
prospective
students to consider studying linguistics and to educate a wider public on
what
we do. Please consider participating.
Sincerely,
Hannah Morales
Editor, Wikipedia Update Project
Linguistic Field(s): Not Applicable
-----------------------------------------------------------
LINGUIST List: Vol-18-1831
>>> The people who are loudest in their demands for consensus
>>> do not represent the Wikimedia movement.
>>
>> The voices loudest for the WMF doing something against the
>> Trump administration are not representative of the Wikimedia
>> movement either....
>
> Is the Community Process Steering Committee currently
> prepared to "engage more 'quiet' members of our community"
> with a statistically robust snap survey to resolve this question?
Anyone can go to Recent Changes and send a SurveyMonkey link to the
most recent few hundred editors with contributions at least a year
old, to get an accurate answer.
Will a respected member of the community please do this? I would like
to know what the actual editing community thinks of the travel ban and
their idea of an appropriate response. I don't want to see community
governance by opt-in participation in obscure RFCs.
I would offer to do this myself, but I value keeping my real name
unassociated with my enwiki userid.
-Will
Hullo everyone.
I was asked by a volunteer for help getting stats on the gender gap in
content on a certain Wikipedia, and came up with simple Wikidata Query
Service[1] queries that pulled the total number of articles on a given
Wikipedia about men and about women, to calculate *the proportion of
articles about women out of all articles about humans*.
Then I was curious about how that wiki compared to other wikis, so I ran
the queries on a bunch of languages, and gathered the results into a table,
here:
https://meta.wikimedia.org/wiki/User:Ijon/Content_gap
(please see the *caveat* there.)
I don't have time to fully write-up everything I find interesting in those
results, but I will quickly point out the following:
1. The Nepali statistic is simply astonishing! There must be a story
there. I'm keen on learning more about this, if anyone can shed light.
2. Evidently, ~13%-17% seems like a robust average of the proportion of
articles about women among all biographies.
3. among the top 10 largest wikis, Japanese is the least imbalanced. Good
job, Japanese Wikipedians! I wonder if you have a good sense of what
drives this relatively better balance. (my instinctive guess is pop culture
coverage.)
4. among the top 10 largest wikis, Russian is the most imbalanced.
5. I intend to re-generate these stats every two months or so, to
eventually have some sense of trends and changes.
6. Your efforts, particularly on small-to-medium wikis, can really make a
dent in these numbers! For example, it seems I am personally
responsible[2] for almost 1% of the coverage of women on Hebrew Wikipedia!
:)
7. I encourage you to share these numbers with your communities. Perhaps
you'd like to overtake the wiki just above yours? :)
8. I'm happy to add additional languages to the table, by request. Or you
can do it yourself, too. :)
A.
[1] https://query.wikidata.org/
[2] Yay #100wikidays :) https://meta.wikimedia.org/wiki/100wikidays
--
Asaf Bartov
Wikimedia Foundation <http://www.wikimediafoundation.org>
Imagine a world in which every single human being can freely share in the
sum of all knowledge. Help us make it a reality!
https://donate.wikimedia.org
Hi all,
As we have stated in our annual plan [1], “currently, community members
must search many pages and places to stay informed about Foundation
activities and resources.” We have worked in the past two quarters to
create a single point of entry. We call it the Wikimedia Resource Center,
and its alpha version is now live on Meta Wikimedia:
https://meta.wikimedia.org/wiki/Wikimedia_Resource_Center
As the movement expands to include more affiliates and more programmatic
activities every year, newer Wikimedians are faced with lack of experience
in the movement and its various channels for requesting support. In order
to expand Wikimedia communities’ efforts, we want to provide easy access to
resources that support their very important work. The [[m:Wikimedia
Resource Center]] is a hub designed in response to this issue: it is
intended to evolve into a single point of entry for Wikimedians all over
the world to the variety of resources and types of staff support they may
need to develop new initiatives or also expand existing ones.
This version of the Resource Center is only the beginning. For phase two of
the project, we will enable volunteer Wikimedians to add resources
developed by other individuals or organizations to the Wikimedia Resource
Center, and in phase three, the Wikimedia Resource Center will include
features to better connect Wikimedians to other Wikimedians that can
support them.
We want to hear what you think about this prototype and our plans for it!
If you have comments about the Wikimedia Resource Center, you can submit
your feedback publicly, on the Talk Page, or privately, via a survey hosted
by a third party, that shouldn’t take you more than 4 minutes to complete.
A feedback button is on the top right corner on every page of the hub.
Looking forward to more collaborations!
Best,
María
[1]
https://meta.wikimedia.org/wiki/Wikimedia_Foundation_Annual_Plan/2016-2017/…
--
María Cruz
Communications and Outreach Project Manager, Community Engagement
Please join for the following talk:
*Tech Talk**:* A Gentle Introduction to Wikidata for Absolute Beginners
[including non-techies!]
*Presenter:* Asaf Bartov
*Date:* February 09, 2017
*Time: *19:00 UTC
<https://www.timeanddate.com/worldclock/fixedtime.html?msg=Tech+Talk%3A+A+Ge…>
Link to live YouTube stream <https://www.youtube.com/watch?v=eVrAx3AmUvA>
*IRC channel for questions/discussion:* #wikimedia-office
*Summary: *This talk will introduce you to the Wikimedia Movement's latest
major wiki project: Wikidata. We will cover what Wikidata is, how to
contribute, how to embed Wikidata into articles on other wikis, tools like
the Wikidata Game, and how to query Wikidata (including SPARQL examples).
Hi all,
As I mentioned in my email earlier this month, we've put together a longer
statement regarding paid editing and how we see the balance of the
communities' role and the role that WMF legal can play in these cases. We
tried to address the concerns that people have raised to us, and explain
when it's helpful to contact us to assist on a case. Of note, it does
explain what actions we can take even in cases that don't involve the WMF
trademarks.
You can find it here: Wikimedia Foundation statement on paid editing and
outing
<https://en.wikipedia.org/wiki/Wikipedia:Wikimedia_Foundation_statement_on_p…>
Best,
Jacob
--
Jacob Rogers
Legal Counsel
Wikimedia Foundation
NOTICE: This message might have confidential or legally privileged
information in it. If you have received this message by accident, please
delete it and let us know about the mistake. As an attorney for the
Wikimedia Foundation, for legal/ethical reasons I cannot give legal advice
to, or serve as a lawyer for, community members, volunteers, or staff
members in their personal capacity. For more on what this means, please see
our legal disclaimer
<https://meta.wikimedia.org/wiki/Wikimedia_Legal_Disclaimer>.
Dear all,
We have extended the deadline for submitting presentations, panels,
roundtables and workshops to Wikimania until *April 10*. The deadline for
posters and birds-of-a-feather sessions remains *May 15*.
Please see below for the call for submissions for Wikimania, and submit
your ideas! Please also note, for those who have already submitted, there
is now a field in the registration form for "completed" or "in-progress"
submission. When you are ready to have your submission reviewed, please
note that it is "completed". Thank you!
Please contact us with any questions: wikimania-program(a)wikimedia.org
best,
Phoebe
On Tue, Feb 14, 2017 at 10:10 AM, phoebe ayers <phoebe.wiki(a)gmail.com>
wrote:
> All,
> I'm very pleased to send out the Wikimania Montréal Call for Submissions,
> which can be found in French here:
> https://wikimania2017.wikimedia.org/wiki/Submissions/fr
> and in English here:
> https://wikimania2017.wikimedia.org/wiki/Submissions/en
>
> On behalf of the Wikimania programme committee,
> Phoebe Ayers
> -----
>
> Que vous soyez un membre de la communauté de l’un des projets Wikimédia
> (tels que Wikipédia, Wikibooks, Wikidata, Wikisource, Wikinews, Wikimedia
> Commons, Wiktionnaire, MediaWiki ou autres), un créateur de contenu libre
> ou un consommateur, nous recevrons avec plaisir votre proposition pour une
> session lors de Wikimania 2017.
>
> *dates importantes*
>
> Appel aux propositions ouvert : 2 février 2017
> Date limite de soumission des présentations (conférence, panneau, table
> ronde et atelier) : *15 avril 2017*
> Date limite de soumission des brefs exposés, affiches et réunions
> d’oiseaux de la même plume : 15 mai 2017.
> Notification d’acceptation des présentations : 20 avril 2017
> Notification d’acceptation des brefs exposés, affiches et réunions
> d’oiseaux de la même plume : 10 juin 2017
>
> *Types de soumissions & Comment soumettre: *https://wikimania2017.
> wikimedia.org/wiki/Submissions/fr
>
> *Des questions ?* Merci de contacter le Comité du programme par
> wikimania-program(à)wikimedia.org.
>
> ----
>
> Whether you are a community member of one of the Wikimedia projects (such
> as Wikipedia, Wikibooks, Wikidata, Wikisource, Wikinews, Wikimedia Commons,
> Wiktionary, MediaWiki or others), or a fellow open content creator or
> consumer, we welcome your proposal for a session at Wikimania 2017.
>
> *Important dates*
>
> Call for proposals opens: February 2, 2017
> Deadline for submitting presentation (lecture, panel, roundtable and
> workshop) submissions: *April 10, 2017*
> Deadline for submitting lightning talks, poster, and birds of a feather
> submissions: May 15, 2017
> Notification of acceptance for presentations: April 20, 2017
> Notification of acceptance for lightning talks, poster and birds of a
> feather submissions: June 10, 2017
>
> *Submission types & how to submit:* https://wikimania2017.
> wikimedia.org/wiki/Submissions/en
>
> *Any questions?* Please contact the Programme Committee at
> wikimania-program at wikimedia.org
>
--
* I use this address for lists; send personal messages to phoebe.ayers <at>
gmail.com *
Being put together by Eliezer Yudkowsky of LessWrong. Content is
cc-by-sa 3.0, don't know about the software.
https://arbital.com/p/arbital_ambitions/
Rather than the "encyclopedia" approach, it tries to be more
pedagogical, teaching the reader at their level.
Analysis from a sometime Yudkowsky critic on Tumblr:
http://nostalgebraist.tumblr.com/post/140995096534/a-year-ago-i-remember-be…
(there's a pile more comments linked from the notes on that post,
mostly from quasi-fans; I have an acerbic comment in there, but you
should look at the site yourself first.)
No idea if this will go anywhere, but might be of interest; new
approaches generally are. They started in December, first publicised
it a week ago and have been scaling up. First day it collapsed due to
load from a Facebook post announcement ... so maybe hold off before
announcing it everywhere :-)
- d.
Hi,
I'm Isarra, a volunteer MediaWiki developer, and I've submitted a grant
proposal to the WMF to support my work on a new responsive skin designed
for the Wikimedia projects, Timeless:
* Abstract: A new skin, Timeless, has been deployed to the Beta Cluster,
but to make it worth eventual deployment to all projects, we need proper
research into what's expected/needed from a better skin, and the ability
to devote development resources to making it meet these
expectations/needs. This grant, as part of a larger series of vaguely
planned grants intended to work on many of the underlying issues with
MediaWiki's user-facing interfaces, will serve to address this need.
* https://meta.wikimedia.org/wiki/Grants:IdeaLab/Timeless
Timeless currently exists as fairly basic prototype, but I invite you to
take a look at the current version:
* Wiki specifically for Timeless:
https://timeless-skin.wmflabs.org/wiki/Main_Page
* To see what it might look/act like in production, there is a copy of
the Simple English Wikipedia on the Beta Cluster, where Timeless has
already been deployed:
https://simple.wikipedia.beta.wmflabs.org/wiki/Main_Page - you can
create an account, set your skin to Timeless, and go through some of the
things you might do here, or simply append the string ?useskin=timeless
to the end of any page url to see what it would look like in Timeless
* Skin documentation: https://www.mediawiki.org/wiki/Skin:Timeless
If this looks like a project you would be interested in seeing happen, I
would very much appreciate your feedback. This applies especially if you
have any specific concerns about the skin or the proposal itself, or
have faced particular problems on your own projects that you think this
might be able to address, because the more of these are documented, the
better they will be.
I look forward to working with all of you to redefine how we handle our
project interfaces.
Thanks,
Isarra