Röchert, Daniel; Neubaum, German; Ross, Björn; Stieglitz, Stefan:
Caught in a networked collusion? Homogeneity in conspiracy-related discussion networks on YouTube
In: Information Systems, Vol. 103 (2022), Article 101866
2022article/chapter in journalOA Green
Computer ScienceFaculty of Engineering » Computer Science and Applied Cognitive Science » Angewandte Kognitions- und Medienwissenschaft » Psychological Processes of Education in Social Media
Related: 2 publication(s)
Title in English:
Caught in a networked collusion? Homogeneity in conspiracy-related discussion networks on YouTube
Author:
Röchert, DanielUDE
GND
1262000181
LSF ID
59651
ORCID
0000-0003-2741-3270ORCID iD
Other
connected with university
;Neubaum, GermanUDE
GND
1122441630
LSF ID
54726
ORCID
0000-0002-7006-7089ORCID iD
Other
connected with university
;Ross, BjörnUDE
GND
1209977001
LSF ID
58341
ORCID
0000-0003-2717-3705ORCID iD
Other
connected with university
;Stieglitz, StefanUDE
GND
1020953853
LSF ID
56892
ORCID
0000-0002-4366-1840ORCID iD
Other
connected with university
Year of publication:
2022
Open Access?:
OA Green
DOI
10.1016/j.is.2021.101866
Web of Science ID
000705021600004
Scopus ID
85112810119
WWW URL:
https://www.pure.ed.ac.uk/ws/files/222004376/Caught_in_a_networked_ROCHERT21072021_AFV.pdf
Language of text:
English
Appears in
Information Systems
Title in English (abbreviated):
Inf Syst
Place of publication:
Amsterdam
Publisher:
Elsevier
in:
Vol. 103 (2022), Article 101866
ISSN
0306-4379 Show availability online & print
ISSN
1873-6076 Show availability online & print
ZDB ID
2012447-8
Keyword, Topic:
Conspiracy theories ; Machine learning ; Opinion- based homogeneity ; Social network analysis ; YouTube