Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Create a Social Media Censorship Alert System #1300

Closed
agrabeli opened this issue Nov 18, 2022 · 2 comments
Closed

Create a Social Media Censorship Alert System #1300

agrabeli opened this issue Nov 18, 2022 · 2 comments

Comments

@agrabeli
Copy link
Member

agrabeli commented Nov 18, 2022

Major social media platforms (such as Facebook, WhatsApp, and Twitter) are frequently blocked around the world during political events (such as elections or large-scale protests). Over the years, OONI data has demonstrated the blocking of social media platforms in numerous countries (such as Uganda, Mali, Benin, Togo, Burundi, Tanzania and Zambia) during elections. OONI data has also shown the blocking of social media platforms during Cuba’s July 2021 anti-government protests, Zimbabwe’s 2019 fuel protests, and Iran’s 2017-2018 anti-government protests (among many other cases worldwide). Following the February 2021 military coup in Myanmar, ISPs in the country started blocking access to social media platforms. Following the February 2022 invasion of Ukraine, Russia started blocking access to Facebook and Twitter.

To enable human rights defenders to rapidly respond to social media blocks, we aim to create a Social Media Censorship Alert System which allows access to real-time OONI data on the blocking of major social media platforms around the world. This will be particularly useful to advocacy groups such as the #KeepItOn campaign, which makes use of OONI data to fight social media shutdowns worldwide.

As part of this proposed project, we aim to develop a system that the public can refer to in order to learn when and where access to social media platforms is being restricted around the world based on empirical OONI data. This will entail developing event detection capabilities in the OONI data processing pipeline (with a focus on reducing the ratio of false positives) and exposing this information to end users.

@agrabeli
Copy link
Member Author

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

@hellais
Copy link
Member

hellais commented Aug 9, 2023

This is a duplicate of ooni/backend#629. I am closing this issue as the other one has more content in it.

@hellais hellais closed this as completed Aug 9, 2023
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Projects
None yet
Development

No branches or pull requests

3 participants