Imagine a digital smoke detector that doesn't look for fire, but for dangerous stories that stir up hate and division. It tracks how these stories travel from social media into the mainstream news to trick people into believing a fake reality. The goal is to find a way to stop these stories from spreading and help people recover from their influence.
Companies and governments struggle to identify and counter extremist narratives that spread through social media and polarize populations, leading to social instability and brand risk.
The project is developing methods to map the spread of extremist narratives and remediation actions for affected groups.
If you are a content moderation platform dealing with rapid polarization and fake news — this project developed methods for measuring and mapping the spread of extremist narratives that improve the detection of harmful content.
If you are a threat intelligence firm dealing with social turmoil and coordinated disinformation — this project developed a way to characterize and detect extremist narratives that helps identify emerging risks to public stability.
If you are an EdTech provider dealing with the need for digital literacy tools — this project developed educational propositions to anticipate challenges in how extremist stories circulate, allowing for the creation of better training modules.
Based on available project data, no pricing or cost information is provided as the project is EU-funded research.
The project focuses on mapping and measuring narratives across 9 countries, suggesting a broad European scale, though specific industrial deployment tools are not yet detailed.
Based on available project data, there is no mention of specific patents or licensing agreements.
The project analyzes the connections between social and traditional media to see how narratives are naturalized, which can be integrated into monitoring workflows.
The project period runs from 2023-05-01 to 2027-04-30.
The consortium is heavily academic, with 8 universities and 2 research organizations. However, it includes 2 industry partners and 5 other entities, resulting in a 12% industry ratio. This suggests the output will be highly theoretical and evidence-based, but with some grounding in practical application through the SME and industry participants.
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