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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
Version:
Accepted manuscript

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Files:
Publisher copy:
10.1145/3201064.3201091

Authors


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Institution:
University of Oxford
Division:
Social Sciences Division
Department:
Internet Institute
ORCID:
0000-0001-5237-3309
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Computer Science
Alan Turing Institute More from this funder
Publisher:
Association for Computing Machinery Publisher's website
Publication date:
2018-05-27
Acceptance date:
2018-03-25
DOI:
Pubs id:
pubs:853921
URN:
uri:b236f727-e114-4c75-8158-18d26a154b95
UUID:
uuid:b236f727-e114-4c75-8158-18d26a154b95
Local pid:
pubs:853921

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