toronto.edu

Multilingual Wikipedia

In June 2020 the website toronto.edu was on the 5,564th place in the ranking of the most reliable and popular sources in multilingual Wikipedia from readers' point of view (PR-score). If we consider only frequency of appearance of this source in references of Wikipedia articles (F-score), this website was on the 12,050th place in June 2020. From Wikipedians' point of view, "toronto.edu" is the 12,955th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before cmentarzekomunalne.com.pl and after infodefensa.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
5,564th place
5,725,193
-817,293
AR-score:
12,955th place
311,524
-5,687
F-score:
12,050th place
978
+10

English Wikipedia (en)

PR-score:
4,514th place
3,652,953
-753,214
AR-score:
9,118th place
186,869
-4,962
F-score:
9,260th place
427
+2

German Wikipedia (de)

PR-score:
2,692nd place
672,414
-47,294
AR-score:
10,227th place
25,467
-1,241
F-score:
9,542nd place
56
0

Japanese Wikipedia (ja)

PR-score:
4,257th place
377,919
+102,522
AR-score:
19,060th place
5,333
+109
F-score:
13,454th place
30
0

Russian Wikipedia (ru)

PR-score:
5,946th place
328,275
-56,535
AR-score:
8,860th place
20,448
+80
F-score:
9,633rd place
65
0

French Wikipedia (fr)

PR-score:
6,132nd place
192,159
-50,864
AR-score:
8,834th place
24,528
+84
F-score:
7,550th place
88
+1

Portuguese Wikipedia (pt)

PR-score:
13,170th place
46,330
-594
AR-score:
12,629th place
6,824
+3
F-score:
5,787th place
58
0
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Popularity and reliability assessment of sources in references of Wikipedia in different languages. Data extraction based on complex method using Wikimedia dumps in July 2020. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details in the research "Modeling Popularity and Reliability of Sources in Multilingual Wikipedia". Values for PR-score and AR-score were additinaly increased 100 times (to distinguish smaller values in the ranking).