Imagine a social thermometer that doesn't just measure heat, but tells you exactly why people are angry and how to calm them down. It looks at how normal conversations slowly turn into 'us versus them' battles. By using a special tuning model, it helps people find common ground before the tension turns into actual conflict.
Companies and institutions struggle to manage the 'mainstreaming' of extremism and destructive polarization in public discourse. This leads to toxic environments and a breakdown of trust in institutional communication.
An Attunement Model to limit polarization and an I-Attune self-test interactive tool for building democratic capacity.
If you are a platform dealing with the mainstreaming of conspiracy theories — this project developed an Attunement Model that helps limit the spread of extreme narratives. It can be used to identify the subtle process of Everyday Extremism before it escalates. This reduces the risk of platform toxicity.
If you are an agency dealing with destructive polarization in public debate — this project developed a method to track the evolution of extreme narratives. By using these insights, you can help clients navigate 'hot cognitions' and mistrust. This prevents brand damage from political volatility.
If you are a software provider dealing with loss of faith in democratic institutions — this project developed an I-Attune self-test interactive. This tool builds democratic capacity across diverse publics. It allows for more productive social dialogue in digital town halls.
Based on available project data, no pricing or cost information is provided.
The project tests interventions across 8 country contexts and involves 17 partners, suggesting a design intended for multi-national scaling.
Based on available project data, there is no specific mention of IP rights or licensing terms.
The project runs from 2023-04-01 to 2026-03-31, with a Winter Academy for practitioners scheduled for 2026.
Based on available project data, the project uses media tracking and psychological studies, but specific technical integration APIs are not listed.
The consortium is heavily academic and research-oriented, consisting of 10 universities and 5 research organizations. With 0 industry partners and 0 SMEs across 15 countries, the project is driven by theoretical and sociological expertise rather than commercial application. This indicates the outputs are currently evidence-based recommendations and academic models rather than off-the-shelf products.
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