Present thematic censorship findings on OONI Explorer

[agrabeli]

# Context

OONI measurements collected from around the world are published as open data in real-time. Since 2012, OONI has openly published 683 million network measurements from at least 27,830 different networks in 240 countries and territories. Every day, new measurements from around the world are openly published in real-time. As a result, OONI data is one of the largest open datasets on internet censorship to date.

To enable human rights defenders (and the public at large) to explore OONI data and discover global censorship events, we have built OONI Explorer, which is a web platform that enables users to explore OONI measurements and track global censorship events in real-time. OONI Explorer includes a search tool (which, for example, enables users to discover confirmed blocked websites), as well as a Measurement Aggregation Toolkit (which enables users to produce their own custom charts based on aggregate views of OONI data). However, OONI Explorer currently requires users to dig through OONI measurements in order to discover censorship events, while exploring and interpreting OONI measurements can potentially be challenging for users who are not already familiar with OONI tools and methodologies (according to community feedback).

# Activity

As part of this activity, we aim to create new pages on OONI Explorer which present thematic censorship findings from around the world (such as findings on the blocking of news media and human rights websites based on OONI data). This will enable the internet freedom community to more easily discover and respond to new censorship events affecting platforms of public interest (such as news media), without having to dig through OONI measurements. This may involve presenting measurements in a resource-centric way (for example, by grouping all measurements pertaining to Facebook resources) to enable community members to more easily discover if access to a specific resource is blocked.

To present thematic censorship findings on OONI Explorer, we will expand our data analysis capabilities to improve the aggregation and correlation of measurements, and we will implement relevant frontend development work.

[agrabeli]

I have set a tentative timeline on zenhub which probably needs to be adjusted.

[jbonisteel]

I am going to close this epic since it is a duplicate of other more detailed epics now