Radio France Internationale, usually referred to as RFI, is a French public radio service that broadcasts in Paris and all over the world. With 35.6 million listeners in 2008, it is one of the most listened to international radio stations in the world, along with BBC World Service, Voice of America and China Radio International. More information...

Multilingual Wikipedia

In June 2020 the website rfi.fr was on the 642nd 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 497th place in June 2020. From Wikipedians' point of view, "rfi.fr" is the 697th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before wikia.com and after vedomosti.ru in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
642nd place
57,784,343
-3,325,851
AR-score:
697th place
7,031,368
+105,030
F-score:
497th place
28,657
+458

French Wikipedia (fr)

PR-score:
67th place
24,250,039
-4,098,887
AR-score:
63rd place
4,221,499
+53,089
F-score:
42nd place
16,459
+173

Chinese Wikipedia (zh)

PR-score:
83rd place
15,610,877
+2,878,054
AR-score:
217th place
471,472
+13,406
F-score:
185th place
2,084
+61

English Wikipedia (en)

PR-score:
2,045th place
8,886,636
-152,610
AR-score:
2,341st place
858,345
+12,927
F-score:
1,822nd place
2,612
+39

Spanish Wikipedia (es)

PR-score:
1,100th place
2,212,177
-399,170
AR-score:
1,468th place
202,763
+10,952
F-score:
863rd place
870
+95

Russian Wikipedia (ru)

PR-score:
1,009th place
2,119,204
-642,476
AR-score:
1,050th place
199,002
+1,199
F-score:
1,016th place
765
+3

Persian Wikipedia (fa)

PR-score:
140th place
938,197
-97,005
AR-score:
154th place
222,106
+1,659
F-score:
122nd place
962
+15
Show all Wikipedia languages...

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...