Our tools

Open Terms Archive

Follow the changes to the Terms of Service

Services have terms that can change over time. Open Terms Archive enables users rights advocates, regulatory bodies and any interested citizen to follow the changes to these terms.
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DisEncyclopedia

Improve your practices and toolset

An open and collaborative resource that documents best practices, tools and actors, allowing all of those who counter information manipulation to improve the competence of the entire ecosystem.
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Illegal Ads

Assess the legality of political ads

A crowdsourcing interface that allows citizens to view paid issue-based ads on Facebook and surface actors that do not respect the law. Currently only available for France, our code is open-source and we would be happy to collaborate with you to expand to other countries.
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Collaboration chat

Collaboratively detect, qualify and react to disinformation campaigns

A real-time chat that gathers actors, supports all the best practices identified in our encyclopedia, and offers the best tools as chatbots. If you are reading this, then we would probably like to have you on board.
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Bot Detection

Identify clusters of bots on Twitter

A crawler that navigates Twitter follower relationships to identify clusters of suspicious accounts from a given seed account. It uses the free Twitter API and can thus be easily deployed.

Based on a manual annotation of over 400 accounts, we have also used that dataset to assess the reliability of usual bot detection tools such as Botometer.

Read the methodology

Media-scale

Compare an article's visibility on social media to other known events visibility in its local reference media to give some perspective to the number of reactions.

When fighting disinformation, analyses and fact-checks produced often relay - when they are not based on - figures to measure the impact of a content on a given society.

Among such data can be the number of reactions to said content, the number of comments it yields, or the number of times it has been shared.

However, this data us usually not contrasted nor compared. Rather than focusing on their quantitative aspect, we offer an alternative: to organize data according to a scale of relevance. Thus, in considering the topic of the content instead of how many times it was shared, one reaches a qualitative scale of reference.

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