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Quality dimension
Template:Infobox website
Wikipedia Quality
Language
aa - Afar
ab - Abkhazian
ace - Achinese
ady - Adyghe
ady-cyrl - адыгабзэ
aeb - Tunisian Arabic
aeb-arab - تونسي
aeb-latn - Tûnsî
af - Afrikaans
ak - Akan
aln - Gheg Albanian
am - Amharic
an - Aragonese
ang - Old English
anp - Angika
ar - Arabic
arc - Aramaic
arn - Mapuche
arq - Algerian Arabic
ary - Moroccan Arabic
arz - Egyptian Arabic
as - Assamese
ase - American Sign Language
ast - Asturian
atj - Atikamekw
av - Avaric
avk - Kotava
awa - Awadhi
ay - Aymara
az - Azerbaijani
azb - تۆرکجه
ba - Bashkir
ban - Balinese
bar - Bavarian
bbc - Batak Toba
bbc-latn - Batak Toba
bcc - Southern Balochi
bcl - Bikol Central
be - Belarusian
be-tarask - Belarusian (Taraškievica orthography)
bg - Bulgarian
bgn - Western Balochi
bho - Bhojpuri
bi - Bislama
bjn - Banjar
bm - Bambara
bn - Bengali
bo - Tibetan
bpy - Bishnupriya
bqi - Bakhtiari
br - Breton
brh - Brahui
bs - Bosnian
bto - Iriga Bicolano
bug - Buginese
bxr - буряад
ca - Catalan
cbk-zam - Chavacano de Zamboanga
cdo - Min Dong Chinese
ce - Chechen
ceb - Cebuano
ch - Chamorro
cho - Choctaw
chr - Cherokee
chy - Cheyenne
ckb - Central Kurdish
co - Corsican
cps - Capiznon
cr - Cree
crh - Crimean Turkish
crh-cyrl - Crimean Turkish (Cyrillic script)
crh-latn - Crimean Turkish (Latin script)
cs - Czech
csb - Kashubian
cu - Church Slavic
cv - Chuvash
cy - Welsh
da - Danish
de - German
de-at - Austrian German
de-ch - Swiss High German
de-formal - German (formal address)
din - Dinka
diq - Zazaki
dsb - Lower Sorbian
dtp - Central Dusun
dty - डोटेली
dv - Divehi
dz - Dzongkha
ee - Ewe
egl - Emilian
el - Greek
eml - Emiliano-Romagnolo
en - English
en-ca - Canadian English
en-gb - British English
eo - Esperanto
es - Spanish
et - Estonian
eu - Basque
ext - Extremaduran
fa - Persian
ff - Fulah
fi - Finnish
fit - Tornedalen Finnish
fj - Fijian
fo - Faroese
fr - French
frc - Cajun French
frp - Arpitan
frr - Northern Frisian
fur - Friulian
fy - Western Frisian
ga - Irish
gag - Gagauz
gan - Gan Chinese
gan-hans - Simplified Gan script
gan-hant - Traditional Gan script
gd - Scottish Gaelic
gl - Galician
glk - Gilaki
gn - Guarani
gom - Goan Konkani
gom-deva - Goan Konkani (Devanagari script)
gom-latn - Goan Konkani (Latin script)
gor - Gorontalo
got - Gothic
grc - Ancient Greek
gsw - Swiss German
gu - Gujarati
gv - Manx
ha - Hausa
hak - Hakka Chinese
haw - Hawaiian
he - Hebrew
hi - Hindi
hif - Fiji Hindi
hif-latn - Fiji Hindi (Latin script)
hil - Hiligaynon
ho - Hiri Motu
hr - Croatian
hrx - Hunsrik
hsb - Upper Sorbian
ht - Haitian Creole
hu - Hungarian
hy - Armenian
hz - Herero
ia - Interlingua
id - Indonesian
ie - Interlingue
ig - Igbo
ii - Sichuan Yi
ik - Inupiaq
ike-cans - Eastern Canadian (Aboriginal syllabics)
ike-latn - Eastern Canadian (Latin script)
ilo - Iloko
inh - Ingush
io - Ido
is - Icelandic
it - Italian
iu - Inuktitut
ja - Japanese
jam - Jamaican Creole English
jbo - Lojban
jut - Jutish
jv - Javanese
ka - Georgian
kaa - Kara-Kalpak
kab - Kabyle
kbd - Kabardian
kbd-cyrl - Адыгэбзэ
kbp - Kabɩyɛ
kg - Kongo
khw - Khowar
ki - Kikuyu
kiu - Kirmanjki
kj - Kuanyama
kk - Kazakh
kk-arab - Kazakh (Arabic script)
kk-cn - Kazakh (China)
kk-cyrl - Kazakh (Cyrillic script)
kk-kz - Kazakh (Kazakhstan)
kk-latn - Kazakh (Latin script)
kk-tr - Kazakh (Turkey)
kl - Kalaallisut
km - Khmer
kn - Kannada
ko - Korean
ko-kp - 한국어 (조선)
koi - Komi-Permyak
kr - Kanuri
krc - Karachay-Balkar
kri - Krio
krj - Kinaray-a
krl - Karelian
ks - Kashmiri
ks-arab - Kashmiri (Arabic script)
ks-deva - Kashmiri (Devanagari script)
ksh - Colognian
ku - Kurdish
ku-arab - كوردي (عەرەبی)
ku-latn - Kurdish (Latin script)
kv - Komi
kw - Cornish
ky - Kyrgyz
la - Latin
lad - Ladino
lb - Luxembourgish
lbe - лакку
lez - Lezghian
lfn - Lingua Franca Nova
lg - Ganda
li - Limburgish
lij - Ligurian
liv - Livonian
lki - Laki
lmo - Lombard
ln - Lingala
lo - Lao
loz - Lozi
lrc - Northern Luri
lt - Lithuanian
ltg - Latgalian
lus - Mizo
luz - Southern Luri
lv - Latvian
lzh - Literary Chinese
lzz - Laz
mai - Maithili
map-bms - Basa Banyumasan
mdf - Moksha
mg - Malagasy
mh - Marshallese
mhr - Eastern Mari
mi - Maori
min - Minangkabau
mk - Macedonian
ml - Malayalam
mn - Mongolian
mo - молдовеняскэ
mr - Marathi
mrj - Western Mari
ms - Malay
mt - Maltese
mus - Creek
mwl - Mirandese
my - Burmese
myv - Erzya
mzn - Mazanderani
na - Nauru
nah - Nāhuatl
nan - Min Nan Chinese
nap - Neapolitan
nb - Norwegian Bokmål
nds - Low German
nds-nl - Low Saxon
ne - Nepali
new - Newari
ng - Ndonga
niu - Niuean
nl - Dutch
nl-informal - Nederlands (informeel)
nn - Norwegian Nynorsk
nov - Novial
nrm - Nouormand
nso - Northern Sotho
nv - Navajo
ny - Nyanja
oc - Occitan
olo - Livvi-Karelian
om - Oromo
or - Oriya
os - Ossetic
pa - Punjabi
pag - Pangasinan
pam - Pampanga
pap - Papiamento
pcd - Picard
pdc - Pennsylvania German
pdt - Plautdietsch
pfl - Palatine German
pi - Pali
pih - Norfuk / Pitkern
pl - Polish
pms - Piedmontese
pnb - Western Punjabi
pnt - Pontic
prg - Prussian
ps - Pashto
pt - Portuguese
pt-br - Brazilian Portuguese
qqq - Message documentation
qu - Quechua
qug - Chimborazo Highland Quichua
rgn - Romagnol
rif - Riffian
rm - Romansh
rmy - Romani
rn - Rundi
ro - Romanian
roa-tara - tarandíne
ru - Russian
rue - Rusyn
rup - Aromanian
ruq - Megleno-Romanian
ruq-cyrl - Megleno-Romanian (Cyrillic script)
ruq-latn - Megleno-Romanian (Latin script)
rw - Kinyarwanda
sa - Sanskrit
sah - Sakha
sat - Santali
sc - Sardinian
scn - Sicilian
sco - Scots
sd - Sindhi
sdc - Sassarese Sardinian
sdh - Southern Kurdish
se - Northern Sami
sei - Seri
ses - Koyraboro Senni
sg - Sango
sgs - Samogitian
sh - Serbo-Croatian
shi - Tachelhit
shi-latn - Tašlḥiyt
shi-tfng - ⵜⴰⵛⵍⵃⵉⵜ
shn - Shan
si - Sinhala
sk - Slovak
skr - سرائیکی
skr-arab - سرائیکی
sl - Slovenian
sli - Lower Silesian
sm - Samoan
sma - Southern Sami
sn - Shona
so - Somali
sq - Albanian
sr - Serbian
sr-ec - Serbian (Cyrillic script)
sr-el - Serbian (Latin script)
srn - Sranan Tongo
ss - Swati
st - Southern Sotho
stq - Saterland Frisian
su - Sundanese
sv - Swedish
sw - Swahili
szl - Silesian
ta - Tamil
tay - Tayal
tcy - Tulu
te - Telugu
tet - Tetum
tg - Tajik
tg-cyrl - Tajik (Cyrillic script)
tg-latn - Tajik (Latin script)
th - Thai
ti - Tigrinya
tk - Turkmen
tl - Tagalog
tly - Talysh
tn - Tswana
to - Tongan
tpi - Tok Pisin
tr - Turkish
tru - Turoyo
ts - Tsonga
tt - Tatar
tt-cyrl - Tatar (Cyrillic script)
tt-latn - Tatar (Latin script)
tum - Tumbuka
tw - Twi
ty - Tahitian
tyv - Tuvinian
tzm - Central Atlas Tamazight
udm - Udmurt
ug - Uyghur
ug-arab - Uyghur (Arabic script)
ug-latn - Uyghur (Latin script)
uk - Ukrainian
ur - Urdu
uz - Uzbek
uz-cyrl - ўзбекча
uz-latn - oʻzbekcha
ve - Venda
vec - Venetian
vep - Veps
vi - Vietnamese
vls - West Flemish
vmf - Main-Franconian
vo - Volapük
vot - Votic
vro - Võro
wa - Walloon
war - Waray
wo - Wolof
wuu - Wu Chinese
xal - Kalmyk
xh - Xhosa
xmf - Mingrelian
yi - Yiddish
yo - Yoruba
yue - Cantonese
za - Zhuang
zea - Zeelandic
zh - Chinese
zh-cn - Chinese (China)
zh-hans - Simplified Chinese
zh-hant - Traditional Chinese
zh-hk - Chinese (Hong Kong)
zh-mo - 中文(澳門)
zh-my - 中文(马来西亚)
zh-sg - Chinese (Singapore)
zh-tw - Chinese (Taiwan)
zu - Zulu
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{{DISPLAYTITLE:Качество Википедии}}<languages /> <div id="mp-topbanner" style="clear:both; position:relative; box-sizing:border-box; width:100%; margin:1.2em 0 6px; min-width:47em; border:1px solid #ddd; background-color:#f9f9f9; color:#000; white-space:nowrap;"> <div style="margin:0.4em; text-align:center;"> <div style="font-size:170%; padding:.1em; text-align:center;">Добро пожаловать на Качество Википедии,</div> <div style="font-size:100%; text-align:center;">портал о концепциях, исследованиях и услугах, связанных с оценкой качества многоязычной Википедии.</div></div> <div style="position:absolute; right:1em; top:10%; width:38%; min-width:25em; font-size:95%;"> <div id="articlecount" style="font-size:100%; text-align:right;">Число статей: [[Special:Statistics|{{NUMBEROFARTICLES}}]]</div> </div> </div> [[File:Map-scientists.png|300px|thumb|right|Число ученых в каждой стране, которые проводят исследования по качеству Википедии]] Несмотря на то, что Википедия часто критикуют за ее низкое качество, она по-прежнему является одной из самых популярных баз знаний в мире. В настоящее время эта онлайн-энциклопедия находится на пятом месте в рейтинге самых посещаемых сайтов (после Google, YouTube, Facebook, Baidu). Статьи в этой энциклопедии создаются и редактируются примерно в 300 различных языках. В настоящее время Википедии содержит более 48 000 000 статей о различных темах и языках. Каждый день количество статей в Википедии растёт. Их можно создавать и редактировать даже анонимными пользователями. Авторы не должны официально демонстрировать свои навыки, образование и опыт в определенных областях. Википедия не имеет Центральной редакционной группы или группы рецензентов, которые могли бы всесторонне проверить все новые и существующие тексты. По этим и другим причинам люди часто критикуют концепцию Википедии, в частности указывая на низкое качество информации. Несмотря на это, в Википедии иногда можно найти ценную информацию – в зависимости от языковой версии и тематики. Практически в каждой языковой версии есть система наград за лучшие статьи. Однако количество этих статей сравнительно небольшое (менее одного процента). В некоторых языковых версиях, есть и другие качества классов. Однако подавляющее большинство статей не оцениваются (на некоторых языках более 99%). == Automatic quality assessment of Wikipedia articles == So, in Wikipedia, many articles do not have [[quality grade|quality grades]], so each reader should manually analyze their content. Automatic quality assessment of Wikipedia articles is known and wide area in the scientific world - researchers from over [[List of countries|50 countries]] published various works related to quality of Wikipedia. Basically, the scientific works describes the most developed language version of Wikipedia – English, which already contains more than 5.5 million articles. [[File:Logosoc.jpg|200px|thumb|right|Wikipedia Quality]] Since it foundation and with the growing popularity of Wikipedia, more and more scientific publications on this subject have published. One of the first studies showed that measuring the volume of content can help determine the degree of “maturity” of the Wikipedia article. Works in this direction shows that, in general, higher-quality articles are long, use many references, are edited by hundreds of authors and have thousands of editions. '''How do they come to such conclusions?''' Simply put: comparing good and bad articles. As already mentioned earlier, in almost every language version of Wikipedia, there is a system of assessing the quality of articles. The best articles are awarded in a special way – they receive a special “badge”. In Russian Wikipedia such articles are called “Featured Articles” (FA). There is another “badge” for articles that slightly below the best ones – “Good articles” (GA). In some language versions, there are other estimates for more “weak” articles. For example, in English Wikipedia there are also: A-class, B-class, C-class, Start, Stub. On the other hand in Russian Wikipedia we can met the following additional grades: Solid, Full, Developed, In development, Stub. Even on the example of the English and Russian versions, we can conclude that the standards for the grading scale are different and depends on the language. Moreover, not all language versions of Wikipedia have such a developed system of quality assessment of articles. For example, German Wikipedia, which contains more than 2 million articles, uses only two estimates – equivalents for FA and GA. Therefore, often assessments in scientific papers are grouped into two groups:<ref name="art1" /><ref name="art2" /><ref name="art3" /><ref name="art4" /><ref name="art20" /><ref name="art5" /><ref name="art6" /><ref name="art7" /> * ”Complete” – FA and GA grade, * ”Incomplete” – all other grades Let’s call this method “binary” (1 – Complete articles, 0 – Incomplete articles). This separation naturally “blurs” the boundaries between individual classes, but it allows you to build and compare quality models for different language versions of Wikipedia. == Data Mining == To build such models, you can use various algorithms, in particular [[Data mining|Data Mining]]. One of the most commonly used algorithms – [[Random forest|Random Forest]]<ref name="art1" /><ref name="art2" /><ref name="art3" /><ref name="art4" /><ref name="art5" /><ref name="art6" /><ref name="art7" /><ref name="art20" />. There are even studies<ref name="art4" />, which compare it with other algorithms (CART, SMO, Multilayer Perceptron, LMT, C4.5, C5.0 and others). Random Forest allows to build models even using variables that correlates with each other. Additionally, this algorithm can show which variables are more important for determining the quality of articles. If we need to get other information about the importance of variables, we can use other algorithms, including logistic regression.<ref name="art13" /> The results show that there are differences between article quality models in different language versions of Wikipedia.<ref name="art1" /><ref name="art2" /><ref name="art3" /><ref name="art4" /> So, if in one language version one of the most important parameters is the number of references (sources), in another language will be more important the number of images and the length of the text. In this case, the quality is modeled as the probability of referring an article to one of two groups – Complete or Incomplete. The conclusion is made on the basis of analysis of various parameters (metrics): the length of the text<ref>Blumenstock, J.E.: Automatically Assessing the Quality of Wikipedia Articles. Tech. rep. (2008)</ref><ref>Conti, R., Marzini, E., Spognardi, A., Matteucci, I., Mori, P., Petrocchi, M.: [[Maturity Assessment of Wikipedia Medical Articles]]. In: Computer-Based Medical Systems (CBMS), 2014 IEEE 27th International Symposium on. pp. 281-286. IEEE (2014)</ref><ref>Yaari, E., Baruchson-Arbib, S., Bar-Ilan, J.: [[Information Quality Assessment of Community Generated Content: A User Study of Wikipedia]]. Journal of Information Science 37(5), 487-498 (2011)</ref><ref>Dang, Q.V., Ignat, C.L.: [[Measuring Quality of Collaboratively Edited Documents: The Case of Wikipedia]]. In: Collaboration and Internet Computing (CIC), 2016 IEEE 2nd International Conference on. pp. 266-275. IEEE (2016)</ref><ref>Shen, A., Qi, J., Baldwin, T.: A hybrid model for quality assessment of wikipedia articles. In: Proceedings of the Australasian Language Technology Association Workshop 2017. pp. 43-52 (2017)</ref><ref>Zhang, S., Hu, Z., Zhang, C., Yu, K.: History-based article quality assessment on wikipedia. In: Big Data and Smart Computing (BigComp), 2018 IEEE International Conference on. pp. 1-8. IEEE (2018)</ref>, the number of references<ref name="art50" /><ref name="art59" /><ref>Dalip, D.H., Gonçalves, M.A., Cristo, M., Calado, P.: [[Automatic Quality Assessment of Content Created Collaboratively by Web Communities: A Case Study of Wikipedia]]. In: Proceedings of the 9th ACM/IEEE-CS Joint Conference on Digital Libraries. pp. 295-304 (2009).</ref><ref>di Sciascio, C., Strohmaier, D., Errecalde, M., Veas, E.: Wikilyzer: interactive information quality assessment in wikipedia. In: Proceedings of the 22nd International Conference on Intelligent User Interfaces. pp. 377-388. ACM (2017)</ref>, images<ref>Wu, K., Zhu, Q., Zhao, Y., Zheng, H.: [[Mining the Factors Affecting the Quality of Wikipedia Articles]]. In: Information Science and Management Engineering (ISME), 2010 International Conference of. vol. 1, pp. 343-346. IEEE (2010)</ref><ref>Liu, J., Ram, S.: [[Using Big Data and Network Analysis to Understand Wikipedia Article Quality]]. Data & Knowledge Engineering (2018)</ref>, sections<ref>Blumenstock, J.E.: [[Size Matters: Word Count as a Measure of Quality on Wikipedia]]. In: WWW. pp. 1095-1096 (2008).</ref><ref>Lerner, J., Lomi, A.: [[Knowledge Categorization Affects Popularity and Quality of Wikipedia Articles]]. PloS one 13(1), e0190674 (2018)</ref>, links to the article, the number of facts<ref name="art6" /><ref>Lex, Elisabeth, Michael Voelske, Marcelo Errecalde, Edgardo Ferretti, Leticia Cagnina, Christopher Horn, Benno Stein, and Michael Granitzer. [[Measuring the Quality of Web Content Using Factual Information]]. In Proceedings of the 2nd joint WICOW/AIRWeb workshop on web quality, pp. 7-10. ACM, 2012.</ref>, visits, the number of editions and many others. There are also a number of linguistic parameters,<ref name="art5" /><ref name="art7" /> which depend on the considered language. Also it can be taken into the account measures that shows number of the links from external sources, such as Reddit, Facebook, Youtube, Twitter, Linkedin, VKontakte and other social services.<ref name="art31" /> Currently, in total, more than 300 parameters (or measures) are used in studies, depending on the language version of Wikipedia and the complexity of the quality model. Some parameters, such as references (sources), can be evaluated additionally<ref name="art14" /> – we can not only count the quantity, but also assess how well-known and reliable sources are used in the Wikipedia article. == Where to get these parameters? == There are several sources – it can be a [[Wikimedia Downloads|backup copy of Wikipedia]], [[Wikipedia API|API service]], [[Wikimedia Toolforge|special tools]] and others.<ref name="art12" /> To get some parameters, you just need to send a request (query) to the appropriate API, for other parameters (especially linguistic ones) you need to use special libraries and parsers. A considerable part of the time, however, is spent writing your own tools (we’ll talk about this in separate articles). == Are there other ways for quality assessing of Wikipedia articles other than binary? == Yes. Recent studies<ref name="art8" /><ref name="art9" /> propose the method for estimating articles on a scale from 0 to 100 in a continuous scale. Thus, an article can receive, for example, an estimate of 54.21. This method has been tested in 55 language versions. The results are available on the [[WikiRank]] service, which allows you to evaluate and compare the quality and popularity of Wikipedia articles in different languages. The method, of course, is not ideal, but works for locally known topics.<ref name="art9" /> == Are there ways of assessing the quality of some part of Wikipedia article? == Of course. For example, one of the important elements of the article is the so-called “[[infobox]]”. This is a separate frame (table), which is often located at the top right of the article and shows the most important facts about the subject. So, there is no need to look for this information in the text – you can just look at this table. Evaluation of the quality of these infoboxes is devoted to individual studies.<ref name="art2" /><ref name="art11" /> There are also projects, such as [[Infoboxes.net]], which allow you to automatically compare the infoboxes in different language versions. == Why do we need all this? == Wikipedia is used often, but the information quality is not always checked. The proposed methods can simplify this task – if the article is bad, then the reader, knowing this, will be more careful in using its materials for decision making. On the other hand, the user can also see in which language the topic of interest is described better. And most importantly, modern techniques allow you to transfer information between different language versions. This means that you can automatically enrich the weak versions of Wikipedia with high-quality data from other language versions.<ref name="art10" /> This will also improve the quality of other semantic databases, for which Wikipedia is the main source of information. First of all, this is – [[DBpedia]], [[Wikidata]], [[YAGO2]] and others. == References == <references> <ref name="art1">Lewoniewski, W., Węcel, K., Abramowicz, W. (2016). [[Quality and Importance of Wikipedia Articles in Different Languages]]. In International Conference on Information and Software Technologies (pp. 613-624). Springer International Publishing.</ref> <ref name="art2">Węcel, K., Lewoniewski, W. (2015). [[Modelling the Quality of Attributes in Wikipedia Infoboxes]]. In International Conference on Business Information Systems (pp. 308-320). Springer International Publishing.</ref> <ref name="art3">Lewoniewski, W., Węcel, K., Abramowicz, W. (2015). Analiza porównawcza modeli jakości informacji w narodowych wersjach Wikipedii. Prace Naukowe/Uniwersytet Ekonomiczny w Katowicach, 133-154.</ref> <ref name="art4">Lewoniewski, W., Węcel, K., Abramowicz, W. (2017), [[Comparative analysis of classification models for quality assessment of Wikipedia articles]], Matematyka i informatyka na usługach ekonomii, Wydawnictwo UEP Poznań, ISBN 9788374179386</ref> <ref name="art5">Khairova, N., Lewoniewski, W., Węcel, K. (2017). [[Estimating the Quality of Articles in Russian Wikipedia Using the Logical-Linguistic Model of Fact Extraction]]. In International Conference on Business Information Systems (pp. 28-40). Springer, Cham.</ref> <ref name="art6">Lewoniewski, W., Khairova, N., Węcel, K., Stratiienko, N., & Abramowicz, W. (2017). [[Using Morphological and Semantic Features for the Quality Assessment of Russian Wikipedia]]. In International Conference on Information and Software Technologies (pp. 550-560). Springer, Cham. DOI: 10.1007/978-3-319-67642-5_46</ref> <ref name="art7">Lewoniewski, W., Wecel, K., Abramowicz, W. (2017). Determining Quality of Articles in Polish Wikipedia Based on Linguistic Features.</ref> <ref name="art8">Lewoniewski, W., Węcel, K., Abramowicz, W. (2017). [[Relative Quality and Popularity Evaluation of Multilingual Wikipedia Articles]]. In Informatics (Vol. 4, No. 4, p. 43). Multidisciplinary Digital Publishing Institute. DOI: 10.3390/informatics4040043</ref> <ref name="art9">Lewoniewski, W., Węcel, K. (2017). [[Relative Quality Assessment of Wikipedia Articles in Different Languages Using Synthetic Measure]]. In International Conference on Business Information Systems (pp. 282-292). Springer, Cham. DOI: 10.1007/978-3-319-69023-0_24</ref> <ref name="art10">Lewoniewski, W. (2017). [[Enrichment of Information in Multilingual Wikipedia Based on Quality Analysis]]. In International Conference on Business Information Systems (pp. 216-227). Springer, Cham. DOI: 10.1007/978-3-319-69023-0_19</ref> <ref name="art11">Lewoniewski, W. (2017). [[Completeness and Reliability of Wikipedia Infoboxes in Various Languages]]. In International Conference on Business Information Systems (pp. 295-305). Springer, Cham. DOI: 10.1007/978-3-319-69023-0_25</ref> <ref name="art12">Lewoniewski, W., Węcel, K., (2017), Cechy artykułów oraz metody ich ekstrakcji na potrzeby oceny jakości informacji w Wikipedii. Studia Oeconomica Posnaniensia 12/2017. DOI: 10.18559/SOEP.2017.12.7</ref> <ref name="art13">Lamek, A., Lewoniewski, W. (2017), Zastosowanie regresji logistycznej w ocenie jakości informacji na przykładzie Wikipedii. Studia Oeconomica Posnaniensia 12/2017. DOI: 10.18559/SOEP.2017.12.3</ref> <ref name="art14">Lewoniewski, W., Węcel, K., Abramowicz, W., (2017), [[Analysis of References Across Wikipedia Languages]]. Information and Software Technologies. ICIST 2017. DOI: 10.1007/978-3-319-67642-5_47</ref> <ref name="art20">Warncke-Wang, Morten, Dan Cosley, and John Riedl. [[Tell Me More: An Actionable Quality Model for Wikipedia]]. Proceedings of the 9th International Symposium on Open Collaboration. ACM, 2013.</ref> <ref name="art31">Lewoniewski, W., Härting, R. C., Wecel, K., Reichstein, C., Abramowicz, W. (2018). [[Application of SEO Metrics to Determine the Quality of Wikipedia Articles and Their Sources]]. In International Conference on Information and Software Technologies (pp. 139-152). Springer, Cham</ref> <ref name="art50">Warncke-Wang, M., Ayukaev, V. R., Hecht, B., & Terveen, L. G. (2015). [[The Success and Failure of Quality Improvement Projects in Peer Production Communities]]. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (pp. 743-756). ACM.</ref> <ref name="art59">Soonthornphisaj, N., & Paengporn, P. (2017). [[Thai Wikipedia Article Quality Filtering Algorithm]]. In Proceedings of the International MultiConference of Engineers and Computer Scientists (Vol. 1).</ref> </references> [[Category:Main]]
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