Conference paper Open Access

# Comparing Measures of Internet Censorship: Analyzing the Tradeoffs between Expert Analysis and Remote Measurement

Fletcher, Terry; Hayes-Birchler, Andria

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<dc:creator>Fletcher, Terry</dc:creator>
<dc:creator>Hayes-Birchler, Andria</dc:creator>
<dc:date>2020-07-30</dc:date>
<dc:description>As the internet increasingly becomes a leading tool for exchanging information, governments around the world sometimes seek methods to restrict citizens’ access. Two of the most common methods for restricting the internet are shutting down internet access entirely and filtering specific content. We compare the tradeoffs between measuring these phenomena using expert analysis (as measured by Freedom House and V-Dem) and remote measurement with manual oversight (as measured by Access Now and the OpenNet Initiative (ONI)). We find that remote measurement with manual oversight is less likely to include false positives, while expert analysis is less likely to include false negatives.</dc:description>
<dc:description>Included with the paper are the raw data files from Freedom House, V-Dem, Access Now, and ONI used in the analysis and the Stata do file used to compile and analyze these data.</dc:description>
<dc:identifier>https://zenodo.org/record/3967398</dc:identifier>
<dc:identifier>10.5281/zenodo.3967398</dc:identifier>
<dc:identifier>oai:zenodo.org:3967398</dc:identifier>
<dc:language>eng</dc:language>
<dc:relation>doi:10.5281/zenodo.3967397</dc:relation>
<dc:relation>url:https://zenodo.org/communities/dfp17</dc:relation>
<dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
<dc:subject>Internet Censorship</dc:subject>
<dc:subject>Internet Shutdown</dc:subject>
<dc:subject>Internet Filtering</dc:subject>
<dc:subject>Remote Measurement</dc:subject>
<dc:subject>Expert Analysis</dc:subject>
<dc:title>Comparing Measures of Internet Censorship: Analyzing the Tradeoffs between Expert Analysis and Remote Measurement</dc:title>
<dc:type>info:eu-repo/semantics/conferencePaper</dc:type>
<dc:type>publication-conferencepaper</dc:type>
</oai_dc:dc>

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