magyarhirlap.hu

Magyar Hírlap is a Hungarian daily newspaper owned by entrepreneur Gábor Széles. It is known as a supporter of political parties of Hungary with conservative and traditional values, whereas it was formerly known for a liberal stance. More information...

Multilingual Wikipedia

In June 2020 the website magyarhirlap.hu was on the 19,361st 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 16,061st place in June 2020. From Wikipedians' point of view, "magyarhirlap.hu" is the 15,969th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before onisep.fr and after mojim.com in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
19,361st place
1,365,083
-693,263
AR-score:
15,969th place
241,202
+1,702
F-score:
16,061st place
696
+5

Hungarian Wikipedia (hu)

PR-score:
109th place
1,163,453
-617,551
AR-score:
123rd place
210,243
-24
F-score:
209th place
516
+1

English Wikipedia (en)

PR-score:
72,795th place
138,910
-74,497
AR-score:
76,015th place
15,665
-191
F-score:
40,572nd place
71
-1

German Wikipedia (de)

PR-score:
66,281st place
16,552
+9,090
AR-score:
60,689th place
3,897
+1,599
F-score:
31,672nd place
14
+2

Polish Wikipedia (pl)

PR-score:
28,664th place
10,483
-2,841
AR-score:
32,043rd place
1,952
0
F-score:
38,395th place
6
0

Italian Wikipedia (it)

PR-score:
51,266th place
7,781
-7,147
AR-score:
85,561st place
1,121
+15
F-score:
38,592nd place
7
0

Japanese Wikipedia (ja)

PR-score:
121,406th place
2,428
-61
AR-score:
74,163rd place
840
+4
F-score:
28,814th place
12
0

French Wikipedia (fr)

PR-score:
221,243rd place
895
-455
AR-score:
113,659th place
1,280
+20
F-score:
90,253rd place
5
0
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...