Sweden just claimed the world’s second-largest Wikipedia
washingtonpost.com
washingtonpost.com
On the other hand, some of the smaller-language Wikipedias can be quite one-sided and nationalist when it comes to local topics, especially disputed history.
From an analysis of parallel UN documents, it seems that character counts are about 10% higher in Spanish/French/Russian than English. The same documents are translated to Chinese with about 1/4 the total characters.
My instinct is that character count is a pretty good approximation of size for European languages, but a big adjustment would need to be made for some Asian languages where a character is more like a syllable in european languages.
http://www.uncorpora.org/Rafalovitch_Dale_MT_Summit_2009.pdf
(Shameless plug: I tried to do that three years ago http://a3nm.net/blog/wikimedia_projects_by_size.html -- it could probably be done again today, though the code would probably need to be refreshed a bit.)
"Because of this, Susning grew and became Sweden's biggest and the world's next biggest wiki." [1]
The creator of Susning, Lars Aronsson is very active on Swedish Wikipedia. As far as I understood him, the content he knew the rights to (his own) could be migrated. But since the wiki is a collaborated effort and Susning had such licensing terms most stuff could not be attributed and is stuck in Susning.
Minor nitpick: https://en.wikipedia.org/wiki/List_of_languages_by_number_of...
FR: 74m
DE: 89m
That's assuming Wiki P is correct-ish and that page is not some Teuto[+]-bot generated nonsense
[+] https://en.wiktionary.org/wiki/Appendix:English_nationality_...
People shouldn't want to read articles like the one about cryptography (just picking something technical at random) in a non-English language beyond what the word means and a general overview. There are so many English resources and so many people able to read English if you'd contribute resources, learning it should be encouraged rather than translating everything just because we can.
Because most people can't read English.
If the world's best encyclopaedia was only available in Swahili, would you still be asking "Why actually spend all this effort on localised articles?", assuming of course that you're not a Swahili speaker.
As a swede I use both swedish and english Wikipedia. It depends on what I'm looking at. Swedish Wikipedia contains more in depth content on a lot of topics.
That's a good argument for some languages, but for Swedish in particular it's less strong, because the number of people who can read Swedish but not read English is fairly small, and rapidly declining. That doesn't mean there's no point to a Swedish Wikipedia, but whatever point there is can't really be because Swedes are unable to read English.
That's also true of Danish, which is one reason I believe the Danish Wikipedia has been languishing. There are many Danish people who are Wikipedians, but many of them do more English editing than Danish editing. The Swedish Wikipedia seems to be more active in comparison. It would be interesting to understand why; is it just the population difference (9.5m vs. 5.5m)?
* Swedish is the first language of about 5% of the population of Finland
* Swedish is supposedly mutually comprehensible with Norwegian
* Many minority languages are governmentally recognized and spoken by significant minorities in Sweden, including Saami and Finnish
There should be name for this fallacy of equating language and nationality.
(edit: newlines)
Speaking of this, I would love to see Wikipedia in machine-readable language. Something like CYC project.
Edit: I know of WikiData, but there should be an unstructured analog to that.
Does it really matter if a bot or a human has created an article as long as it contains facts and not thorough analysis?
Disclaimer: I haven't read any of the bot generated articles (at least, I don't think so).
Though, wouldn't it be more efficient to put the data into some machine readable form, if they were already processed by the machines anyway? This would then allow anybody to create algorithm to extract information (meaning) from the data.
So I think there are also good reasons to keep the human and machine created articles separate.
I tried it 10 times and got 6 bot articles.
Some of them even have pictures but most are pretty sparse. In my opinion, it's not that bad to have these articles but they should be improved.
http://online.wsj.com/articles/for-this-author-10-000-wikipe...
His stupid bot pollutes wiki with useless crap like this:
But his bot is quite annoying yes.
Anyway, perfect layout for animal articles is significantly different from perfect layout for math articles, so instead of populating wikipedia with rather obscure non-verified by humans information the really useful work would be making easy-to-use thematic resources as the existing ones made by academic people usually are totally unusable. That's where structured information should go in the first place.
However bots on wikipedia often do some useful work, what really makes wikipedia useful is mindful human work. Media-wiki engine isn't perfect for structuring information and is useful specifically for free-form, unstructured data populated by humans. I don't really see what is the use of populating wikipedia with thousands of auto-generated texts.
https://news.ycombinator.com/item?id=8033600
Who runs a bot that makes millions of shitty stub articles.
I mean one with a more sophisticated system for decision making rather than just bureaucracy, fiefdom, politics, and bribery?
so his solution to this problem was to expand the volume of content for a language spoken almost exclusively by white nerdy people