Exploring the Design Space of Longitudinal Censorship Measurement Platforms

Abbas Razaghpanah; Anke Li; Arturo Filastò; Rishab Nithyanand; Vasilis Ververis; Will Scott; Phillipa Gill

doi:10.48550/arXiv.1606.01979

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Exploring the Design Space of Longitudinal Censorship Measurement Platforms

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Exploring the Design Space of Longitudinal Censorship Measurement Platforms

Abbas Razaghpanah, Anke Li, Arturo Filastò, Rishab Nithyanand, Vasilis Ververis, Will Scott and Phillipa Gill

ArXiv.org

06/06/2016

DOI: 10.48550/arXiv.1606.01979

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Preprint (Author's original)This preprint has not been evaluated by subject experts through peer review. Preprints may undergo extensive changes and/or become peer-reviewed journal articles. Open Access

Abstract

Despite the high perceived value and increasing severity of online information controls, a data-driven understanding of the phenomenon has remained elusive. In this paper, we consider two design points in the space of Internet censorship measurement with particular emphasis on how they address the challenges of locating vantage points, choosing content to test, and analyzing results. We discuss the trade offs of decisions made by each platform and show how the resulting data provides complementary views of global censorship. Finally, we discuss lessons learned and open challenges discovered through our experiences.

Details

Title: Subtitle: Exploring the Design Space of Longitudinal Censorship Measurement Platforms
Creators: Abbas Razaghpanah
Anke Li
Arturo Filastò
Rishab Nithyanand
Vasilis Ververis
Will Scott
Phillipa Gill
Resource Type: Preprint
Publication Details: ArXiv.org
DOI: 10.48550/arXiv.1606.01979
ISSN: 2331-8422
Language: English
Date posted: 06/06/2016
Academic Unit: Center for Social Science Innovation; Computer Science; Public Policy Center (Archive)
Record Identifier: 9984285554102771

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