ഹിന്ദി വിക്കിപീഡിയനായ മയൂർ കുമാർ, ഇന്ത്യൻ ഉപഭൂഖണ്ഡത്തിലെ വിവിധ ഭാഷാവിക്കികളെ
താരതമ്യം ചെയ്ത് കൊണ്ട് തയ്യാറാക്കിയ ഒരു റിപ്പോർട്ട് ആണിത്. മലയാളം വിക്കി
ലിസ്റ്റിലുള്ളവരുടെ അറിവിലെക്കായി ഇത് ഇവിടെ പങ്ക് വെക്കുന്നു. 10,000
ലേഖനങ്ങൾക്ക് മേലുള്ള വിക്കികളിൽ മിക്കഗുണനിലവാര മാനകങ്ങളിലും മലയാളം
മുൻപന്തിയിൽ നിൽക്കുന്നതായി കാണാം. തമിഴ് ആണു് രണ്ടാമത്.
ഈ നിലയിൽ എത്താൻ നമ്മളെ സഹായിച്ചത് മലയാളം വിക്കി സമൂഹമാണു്. അവർക്കാണു് ഇതിൽ
അഭിമാനിക്കാനുള്ള എല്ലാ അവകാശവും. നിശബ്ദരായി അറിവിന്റെ വികേന്ദ്രവൽക്കരണത്തിൽ
തങ്ങളുടേതായ പങ്ക് വഹിക്കുന്ന മലയാളം വിക്കിസമൂഹത്തിനു് എല്ലാവിധ
അഭിനന്ദനങ്ങളും
ഷിജു
---------- Forwarded message ----------
From: mayur <mayurdce(a)gmail.com>
Date: Wed, Feb 2, 2011 at 6:57 PM
Subject: Re: [Wikimediaindia-l] Survey regarding Indic wikis
To: "Discussion list on Indian language projects of Wikimedia." <
wikimediaindia-l(a)lists.wikimedia.org>
Hi, i observed that the link i provided had not a quality pdf inside it, plz
update the link as
https://docs.google.com/viewer?a=v&pid=explorer&chrome=true&srcid=0B4gKWd59…
> On 2 February 2011 11:28, mayur <mayurdce(a)gmail.com> wrote:
>
>> Hi all,
>> I am mayur a hindi wikipedian.I have prepared a survey to
>> determine overall quality of a wikipedia project.Here is the link
>> https://docs.google.com/document/d/1IFphBpq14eMUjoBcy0wk-WWQNTQ5vxpq_o285Dy… for
>> survey report. Here is the Summary for that
>>
>>
>> *Why did we do that survey?*
>>
>> As we know there are lots of Indic wiki projects having different number
>> of active users and article. However we simply differentiate them on behalf
>> of number of articles or depth but that cannot give us an actual overall
>> growth of that project because many projects are simply bot generated as we
>> know about Nepal bhasha and Bishnupriya Manipuri Wikipedia. Simply a project
>> growth can be measured from its article quality and number of articles both.
>> A project having large no of articles having good quality of article has
>> grown faster.
>>
>>
>>
>> *How did we measure quality of a wiki project?*
>>
>> Quality of a wiki project is simply depends upon how many articles are
>> developed from their stubs root. Generally each article is started from a
>> stub. Now quality of the article mainly depends upon how much time it has
>> been edited and how many words are in it or how many long the article is? So
>> we choose different factor which directly affects the quality of article.
>> These are-
>>
>> 1) *Nr. of good articles (Articles having size>2 KB)*
>>
>> Simply a project having more articles of size 2 KB has grown much in
>> comparison to another. But this alone cannot decide quality of a project
>> that’s why we included some another factors. We simply took the percentage
>> of articles having size greater than 2 KB. We gave a marking scale of 150 to
>> this.
>>
>> 2) *Nr. of Average articles (Articles having size>0.5 KB)*
>>
>> Simply to filter the stubs we choose this criteria, we gave marking scale
>> of 100 to this just less than above because article having size greater than
>> 2 KB reflects much growth in comparison to 0.5 KB article.
>>
>> 3) *Average number of words in an article*
>>
>> That was too tricky to calculate but we simply divided total number of
>> words in a project by total nr. of articles in it for a rough estimate. To
>> keep this in the marking scale of 100 we simply multiplied the output value
>> by 0.1 In our formula.
>>
>> 4) *Avg. size of article (KB)*
>>
>> That was also tricky to calculate but we simply divided total size of a
>> project by total nr. of articles in it for a rough estimate. To keep this in
>> the marking scale of 100 we simply multiplied the output value by 10 In our
>> formula.
>>
>> 5) *Main space edit per total nr. Of articles*
>>
>> That was also an important factor to know how frequently an article is
>> being edited for being updated. Output value was already on a scale of 100
>> so we did not multiply of divided that value.
>>
>> 6) *Total Edits/article*
>>
>> This is also an Important factor because it reflects how much extra edits
>> (that includes categorization, image uploads and some other similar factors)
>> are being performed in a wiki project. As Output value was already on a
>> scale of 100 so we did not multiply of divided that value.
>>
>> 7) *Bot edits*
>>
>> That was the most important factor because all the factor that we
>> discussed can be gained at high value by running bots like in Nepal bhasha
>> and Bishnupriya Manipuri Wikipedia. So we simply multiplied the overall
>> score by percentage non bot edits. However bots edits in some extant are
>> also a necessary part. So we just set the 50% bot edits as a cut off mark.
>> For A wiki having more than 50% of bot edits we simply multiplied total
>> score by (100-(bot edits if larger than 50%-50))
>>
>> *Formula for Quality factor = (R*0.1+Q*10+E+F*1.5+P+O)*(100-N)/100*
>>
>> *R- Average number of words in an article*
>>
>> *Q- Avg. size of article (KB)*
>>
>> *E- Article greater than 2kb*
>>
>> *F-* *Article greater than 0.5kb*
>>
>> *P-* *Total Edits/article*
>>
>> *O-* *Mainspace edit per total nr. Of articles*
>>
>> *N-* *Share of Bot edits (%)*
>>
>> * *
>>
>> *Overall Score = Number of articles * Quality factor*
>>
>> * *
>>
>> * *
>>
>> **
>>
>> *Thank you and Regards*
>>
>> *Mayur*
>>
>>
>>
>> _______________________________________________
>> Wikimediaindia-l mailing list
>> Wikimediaindia-l(a)lists.wikimedia.org
>> https://lists.wikimedia.org/mailman/listinfo/wikimediaindia-l
>>
>>
>
> _______________________________________________
> Wikimediaindia-l mailing list
> Wikimediaindia-l(a)lists.wikimedia.org
> https://lists.wikimedia.org/mailman/listinfo/wikimediaindia-l
>
>
_______________________________________________
Wikimediaindia-l mailing list
Wikimediaindia-l(a)lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wikimediaindia-l
FYI
---------- Forwarded message ----------
From: Barry Newstead <bnewstead(a)wikimedia.org>
Date: Wed, Feb 2, 2011 at 6:09 AM
Subject: [Wikimediaindia-l] SMS WIkipedia app in India
To: India list <wikimediaindia-l(a)lists.wikimedia.org>
Hi all,
We just had a demo of an interesting SMS application called
txtweb<http://www.txtweb.com/>.
It is a beta platform that allows content developers to publish their
content using an apps model. It was developed by some engineers at Intuit
as a side project a few months back.
They have developed an app for English Wikipedia that has been rolled out in
India. The whole platform is India only for now.
How it works:
Type: @wikipedia<space><article name> e.g., @wikipedia mumbai gets you the
Mumbai article.
Send the SMS to 92433-42000
Links have a letter associated with it e.g., (B)Maharashtra. If you reply
(B) it will send you that article.
It would be great if folks tried out the service and provided feedback to us
(and we'll pass it on). I've set up a page on Strategy Wiki for people to
add comments: http://strategy.wikimedia.org/wiki/Txtweb_feedback
I'm particularly interested in how folks use such a service and whether the
limited length of the message delivers a decent user experience. Also, how
would you improve the UI.
Feel free to pass this on to other lists or groups.
Best,
Barry
--
Barry Newstead
Chief Global Development Officer
Wikimedia Foundation
Tel: +1-415-839-6885 x. 6634
Skype: barry.wikimedia
Twitter: @bazanews
_______________________________________________
Wikimediaindia-l mailing list
Wikimediaindia-l(a)lists.wikimedia.org
https://lists.wikimedia.org/mailman/listinfo/wikimediaindia-l
--
With Regards,
Anoop P