Engineering Innovation in
Digital Media & Communication
Mission
Promoting media and information literacy for all, with the aim of creating a fair society, effectively combating the spread of Fake News in digital media.
Solution
An integrated platform that verifies different types of news data, media sources, social media and open data to detect Fake News and enable more efficient and verified communication for all citizens.
The solution enables the media industry to set and maintain basic standards for news by verifying and validating it with trusted information based on facts and data.
The solution enables the media industry to set and maintain basic standards for news by verifying and validating it with trusted information based on facts and data.
Actions
With Big Data, the media industry can automate the identification of false information, providing greater transparency to citizens.
Through real-time analysis, AI-driven machine learning, and Deep Learning, it's possible to analyze text to identify common patterns and train algorithms to distinguish between true and false news.
By integrating AI tools and techniques with human control, it is feasible to detect unreliable content and mitigate the risk of misinformation.
Through real-time analysis, AI-driven machine learning, and Deep Learning, it's possible to analyze text to identify common patterns and train algorithms to distinguish between true and false news.
By integrating AI tools and techniques with human control, it is feasible to detect unreliable content and mitigate the risk of misinformation.
Expected Results
Automate the detection of Fake News
Recognize deliberately fake news
Automate fact-checking
Analyze images and videos to detect manipulations
Impacts
AI-Driven Value
Cyber Awareness
Social Cohesion
PNRR
M1C2
Digital Ecosystems
SDG
9 - Industry, Innovation, and Infrastructure
17 - Partnerships for the goals