casperlibero.edu.br

Faculdade Cásper Líbero is a private university in São Paulo, Brazil. Founded in 1947 by Brazilian journalist Cásper Líbero, it is the oldest journalism school in Latin America. The university offers courses on journalism, broadcasting, advertising and public relations. Faculdade Cásper Líbero is a leading communications school in Brazil and often ranked among the top-five journalism schools in the country. It ranked as the fifth-best communications school in the country in 2019 on Folha de S. Paulo's University Ranking. More information...

Multilingual Wikipedia

In June 2020 the website casperlibero.edu.br was on the 162,396th 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 101,567th place in June 2020. From Wikipedians' point of view, "casperlibero.edu.br" is the 153,926th most reliable source in different language versions of Wikipedia (AR-score).

The website is placed before zamanfrance.fr and after aft.gouv.fr in multilingual PR ranking of the most reliable sources in Wikipedia.

PR-score:
162,396th place
108,011
-10,473
AR-score:
153,926th place
16,271
-138
F-score:
101,567th place
72
0

Portuguese Wikipedia (pt)

PR-score:
7,537th place
88,399
-1,885
AR-score:
6,249th place
14,922
-138
F-score:
5,219th place
65
0

Spanish Wikipedia (es)

PR-score:
59,128th place
18,798
-8,686
AR-score:
102,633rd place
1,116
0
F-score:
89,867th place
4
0

English Wikipedia (en)

PR-score:
1,097,458th place
728
+157
AR-score:
1,374,989th place
71
0
F-score:
1,446,048th place
1
0

Croatian Wikipedia (hr)

PR-score:
28,421st place
72
-9
AR-score:
25,614th place
72
0
F-score:
29,143rd place
1
0

French Wikipedia (fr)

PR-score:
406,051st place
12
-50
AR-score:
346,485th place
87
0
F-score:
372,219th place
1
0

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...