Day: January 25, 2024

The International Observatory on Information and Democracy launches a Second Global Call for Research to Expand Literature on Crucial Research Questions, with Emphasis on Global South Regions

[CLOSED CALL] Paris, 25 January 2024. The International Observatory on Information and Democracy invites you to contribute to building the IPCC for the information space by submitting existing research through our contribution portal or by getting in touch directly via email. The Observatory invites researchers, scholars and academics to contribute to the growing body of knowledge […]

International Observatory on Information & Democracy

  • observatory@informationdemocracy.org

Join the Forum on Information and Democracy's Newsletter

Sign-up to our newsletter to be informed about latest developments: our Unpacking Current Developments in the Information Space Insight Series, our newsletter, news from our network, events and publications.

Please enable JavaScript in your browser to complete this form.
Join us
Contact
Go to FID

Terms and conditions

CGU

2025 - Observatory on Information & Democracy

The International Observatory on Information and Democracy launches a Second Global Call for Research to Expand Literature on Crucial Research Questions, with Emphasis on Global South Regions – Interactive Map

Developed using GarganText by the OID in partnership with CNRS Institute for Complex Systems.

This map represents a statistical summary of the thematic content of the report. The network graph represents relations between the words in the report, placing them closer to each other the more they are related. The bigger the node, the more present the word is, signalling its role in defining what the report is about. The colors represent words that are closely related to each other and can be interpreted as a topic.

The map is generated by the OID using GarganText – developed by the CNRS Institute of Complex Systems –on the basis of the repot’s text. Starting from a co-occurrence matrix generated from report’s text, GarganText forms a network where words are connected if they are likely to occur together. Clustering is conducted based on the Louvain community detection method, and the visualisation is generated using the Force Atlas 2 algorithm.