Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Sefa Ozalp"'
Publikováno v:
Social Media + Society, Vol 6 (2020)
In this article, we conduct a comprehensive study of online antagonistic content related to Jewish identity posted on Twitter between October 2015 and October 2016 by UK-based users. We trained a scalable supervised machine learning classifier to ide
Externí odkaz:
https://doaj.org/article/5bb49f9f500741e09a3946dcf0e1b31d
Publikováno v:
Social Media + Society, Vol 6 (2020)
In this article, we conduct a comprehensive study of online antagonistic content related to Jewish identity posted on Twitter between October 2015 and October 2016 by UK-based users. We trained a scalable supervised machine learning classifier to ide
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48de24698bb7bc35232a716c6f08f7d9
https://orca.cardiff.ac.uk/id/eprint/132742/1/2056305120916850.pdf
https://orca.cardiff.ac.uk/id/eprint/132742/1/2056305120916850.pdf
Autor:
Francis Fortin, Matthew Leighton Williams, Maxime Bérubé, Peter Burnap, Sefa Ozalp, Thuc-Uyên Tang
Publikováno v:
Forensic science international. 313
Forensic science is constantly evolving and transforming, reflecting the numerous technological innovations of recent decades. There are, however, continuing issues with the use of digital data, such as the difficulty of handling large-scale collecti
Publikováno v:
The British Journal of Criminology.
National governments now recognize online hate speech as a pernicious social problem. In the wake of political votes and terror attacks, hate incidents online and offline are known to peak in tandem. This article examines whether an association exist
Publikováno v:
The British Journal of Criminology. 60:242-242
Autor:
Sefa Ozalp
Publikováno v:
Sefa Ozalp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::1ff26560cf91885cd28c05deae8d9a85
http://orca.cf.ac.uk/120355
http://orca.cf.ac.uk/120355