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Automated discovery of internet censorship by web crawling

Abstract:

Censorship of the Internet is widespread around the world. As access to the web becomes increasingly ubiquitous, filtering of this resource becomes more pervasive. Transparency about specific content and information that citizens are denied access to is atypical. To counter this, numerous techniques for maintaining URL filter lists have been proposed by various individuals, organisations and researchers. These aim to improve empirical data on censorship for benefit of the public and wider ...

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Publication status:
Published
Peer review status:
Peer reviewed

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Publisher copy:
10.1145/3201064.3201091

Authors


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Institution:
University of Oxford
Division:
SSD
Department:
Oxford Internet Institute
Role:
Author
ORCID:
0000-0001-5237-3309
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
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Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Role:
Author
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Name:
Engineering and Physical Sciences Research Council
Grant:
EP/N51012
Publisher:
Association for Computing Machinery
Host title:
10th ACM Conference on Web Science (WebSci '18)
Journal:
10th ACM Conference on Web Science (WebSci '18) More from this journal
Publication date:
2018-05-27
Acceptance date:
2018-03-25
DOI:
Keywords:
Pubs id:
pubs:853921
UUID:
uuid:b236f727-e114-4c75-8158-18d26a154b95
Local pid:
pubs:853921
Source identifiers:
853921
Deposit date:
2018-05-25

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