If you are a consultancy dealing with extreme voter polarization — this project developed a catalogue of best practices to tackle disinformation that helps create narratives that build trust instead of anger.
Emotional Intelligence Tools for Reducing Political Polarization and Improving Public Communication
Imagine if we could map out why people get angry or scared during political debates and use that map to calm things down. This work uses tools like face-tracking and social media analysis to understand the feelings behind our opinions. The goal is to turn heated arguments into productive conversations by changing how messages are delivered.
What needed solving
Political communication often fails because it ignores the emotional drivers of behavior, leading to polarization and mistrust. Businesses and governments lack data-driven tools to create narratives that bridge these emotional gaps.
What was built
A catalogue of best practices for social media disinformation, emotional gap maps, validated survey questions, and democratic resilience heatmaps.
Who needs this
Who can put this to work
If you are an agency dealing with inaccurate sentiment data — this project developed biometric measurements and emotional gap maps that provide a more precise understanding of citizen reactions.
If you are a software provider dealing with toxic online environments — this project developed methods for sentiment analysis and democratic resilience heatmaps to identify and mitigate emotional triggers.
Quick answers
What is the cost or pricing for these tools?
Based on available project data, no pricing or cost information is provided as this is a research-funded project.
Can these methods be scaled to an industrial level?
The project tests its methods across 6 different European countries, suggesting a design intended for cross-border scaling within the EU.
How is the IP or licensing handled for the outputs?
Based on available project data, specific licensing terms are not mentioned, though it produces a catalogue of best practices and validated survey questions.
What is the timeline for implementation?
The project runs from June 2024 to May 2027, with the first reporting period ending in May 2025.
How do these tools integrate with existing social media monitoring?
The project utilizes sentiment analysis of social media data and biometric face-tracking to enhance the accuracy of emotional decoding.
Who built it
The consortium consists of 10 partners across 8 countries, showing a strong academic lean with 4 universities and 4 research organizations. Business involvement is low at 10% (1 industry partner), though 2 SMEs are involved, including the coordinator. This suggests the project is currently driven by scientific discovery rather than immediate commercial productization.
Contact ASM Research Solutions Strategy Sp. z o.o. in Poland
Talk to the team behind this work.
Contact us to track the release of the democratic resilience heatmaps.