Modeling Popularity and Reliability of Sources in Multilingual Wikipedia *

Włodzimierz Lewoniewski, Krzysztof Węcel and Witold Abramowicz

Supplementary materials - Extended version of the table 13. Position in rankings of popular and reliable sources depending on time period in all considered languages versions of Wikipedia using PR model. Source: own work based on Wikimedia dumps using complex extraction of references with semantic databases (Wikidata, DBpedia) to identify title of the sources.

source2019-122020-012020-022020-03
Amazon48484545
Ars Technica46475051
Blabbermouth.net45464341
CBS News38373433
CNET40364143
CNN18201617
Collider26242627
Deadline Hollywood1111
Engadget44434850
Entertainment Weekly5555
Forbes99910
Fortune47504946
GameSpot17162224
IndieWire24172016
Instagram31302930
Internet Movie Database4343
Lenta.ru28283032
MTV27293129
National Center for Biotechnology Information33413537
Newspapers.com19181815
Nihon Keizai Shimbun39384039
Official Charts15192120
Oricon7777
People12101112
Pitchfork22252423
Rolling Stone29272525
Rotten Tomatoes6666
Screen Rant35333334
Soccerway34393840
TV Guide51454747
TV by the Numbers3434
TVLine14151418
TechCrunch23262726
The Atlantic42423735
The Daily Telegraph20211721
The Futon Critic21231919
The Globe and Mail49494648
The Indian Express16121514
The New York Times37353636
The Washington Post1114129
TheWrap32312828
Time25222322
USA Today13111011
Variety2222
Wayback Machine10131313
Wired30323231
WordPress.com8888
World Health Organization64724438
ZDNet36949585
comicbook.com43343944
digitalspy.com41404242
la Repubblica62606049

* Paper published in Information 2020, 11(5), 263