Resources​

Access an expert-curated dataset of 2,739 sources made open source in different formats for different uses.

Our Raw Data

Our dataset containing metadata on the global evidence base

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Interactive Library

2739 Resources found

Publication

Authors

Type of publication

Topic

Region

Year

¿Polarización Política O Digital? Un Ecosistema Con Todos Los Climas

Zuazo, Natalia; Aruguete, Natalia

Book Chapter

Global Majority

2021

‘A War Against Truth’ – Understanding The Fake News Controversy

Monsees, Linda

Journal Article

2020

‘Fool Me Once, Shame On You’: Direct Personal Experience And Media Trust

Livio, Oren; Cohen, Jonathan

Journal Article

News Media

Global North

2018

‘Raw Data’ Is An Oxymoron

Book

Data

Global North

2013

‘Solving For X?’ Towards A Problem-Finding Framework To Ground Long-Term Governance Strategies For Artificial Intelligence

Liu, Hin-Yan; Maas, Matthijs M.

Journal Article

2021

‘There Was All Sorts Of Toxic Behaviour’: Timnit Gebru On Her Sacking By Google, Ai’S Dangers And Big Tech’S Biases

Harris, John

Other

Global North

2023

‘Vindicated’: Embattled Misinformation Researchers Celebrate Key Us Supreme Court Decision

Tollefson, Jeff

Other

Global

2024

‘You Really Have To Have A Thick Skin’: A Cross-Cultural Perspective On How Online Harassment Influences Female Journalists

Chen, Gina Masullo; Pain, Paromita; Chen, Victoria Y; Mekelburg, Madlin; Springer, Nina; Troger, Franziska

Journal Article

Content Moderation

Global North

2020

“Ai Will Fix This” – The Technical, Discursive, And Political Turn To Ai In Governing Communication

Katzenbach, Christian

Journal Article

Content Moderation

Global North

2021

“Be Less Of A Slave To The News”: A Texto-Material Perspective On News Avoidance Among Young Adults

Aharoni, Tali; Kligler-Vilenchik, Neta; Tenenboim-Weinblatt, Keren

Journal Article

News Media

Global North

2021

Resources – Interactive Map

Developed 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 or chapter is about. The colors represent words that are closely related to each other and can be interpreted as a topic.

The map was generated by Giovanni Maggi using the GarganText tool – developed by the CNRS Institute of Complex Systems – on the basis of the repot’s text.