belta.by

The Belarusian Telegraph Agency or BelTA is the state-owned national news agency of the Republic of Belarus. It operates in Russian, Belarusian, English, German, Spanish and Chinese languages. Since 2018, the director of BELTA is Irina Akulovich More information...

Multilingual Wikipedia

In June 2020 the website belta.by was on the 4,742nd 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 2,886th place in June 2020. From Wikipedians' point of view, "belta.by" is the 4,255th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before maharashtra.gov.in and after bundesnetzagentur.de in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
4,742nd place
6,830,536
-329,244
AR-score:
4,255th place
1,106,543
+10,432
F-score:
2,886th place
4,950
+110

Russian Wikipedia (ru)

PR-score:
459th place
4,544,436
+412,491
AR-score:
439th place
449,414
+5,013
F-score:
572nd place
1,301
+41

English Wikipedia (en)

PR-score:
10,196th place
1,413,691
-345,052
AR-score:
10,107th place
166,107
+1,814
F-score:
7,347th place
562
+16

Belarusian Wikipedia (be)

PR-score:
9th place
207,921
-24,631
AR-score:
16th place
174,799
+1,225
F-score:
26th place
840
+13

German Wikipedia (de)

PR-score:
13,041st place
119,015
-7,245
AR-score:
11,765th place
22,025
+1,040
F-score:
10,729th place
49
+2

Belarusian (Taraškievica) Wikipedia (be-x-old)

PR-score:
13th place
99,912
-25,101
AR-score:
17th place
126,026
+799
F-score:
10th place
882
+13

Ukrainian Wikipedia (uk)

PR-score:
3,145th place
36,948
-25,107
AR-score:
1,091st place
31,598
+401
F-score:
1,282nd place
172
+4

Finnish Wikipedia (fi)

PR-score:
4,565th place
17,059
-68,815
AR-score:
1,829th place
23,286
-36
F-score:
929th place
224
0
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BestRef shows popularity and reliability scores for sources in references of Wikipedia articles in different languages. Data extraction based on complex method using Wikimedia dumps. To find the most popular and reliable sources we used information about over 200 million references of Wikipedia articles. More details...