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Research Project
Fighting fake news with AI and big data analysis
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FANDANGO research project uses AI, Big Data and Intelligent Analytics to fight and to contrast the diffusion of disinformation.
Where: international
Where: international
Challenge
The aim of FANDANGO is to aggregate and verify different typologies of news data, media sources, social media, open data, so as to detect fake news and provide a more efficient and verified communication for all European citizens.
Approach
Using cross sector Big Data management and analytics, along with an effective interoperability scheme for all our data sources, tackles this urgent problem, generating new business and societal impacts involving several stakeholders:
- Media Companies: news agencies, broadcaster, newspapers, etc.
- Governmental institutions and organizations
- The overall industrial ecosystem
- The entire society.
Digital Ecosystem
Solution
Digital Ecosystem
The FANDANGO project breaks data interoperability barriers providing unified techniques and an integrated big data platform to support traditional media industries to face the new “data” news economy with a better transparency to the citizens under a Responsible, Research and Innovation prism. This goal is validated and tested in three specific domains Climate, Immigration and European Context, these are typical scenarios where fake news can influence perception with respect to social and business actions and where news can be verified and validated by trustable information, based on facts and data. The project has received co-funding from the European Union's Horizon 2020 programme - Contract No. 780355
Financing Framework
Results
Automated fact
checking to assist journalists in verification
Analysis of images and videos to identify manipulations
Impacts
Technologies
AI & Data
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From Data to Artificial Intelligence: Services, Products, and Processes for Future-Proof Business.
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Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
Case Study
Labour Information System of Emilia-Romagna (SILER)
Labour Information System to centralize data and service management, ensuring interoperability between the regional system, local authorities, other regions, Ministry of Labour through application cooperation services.
Case Study
Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
-
Research Project
QLMD: Quantum Computing for an efficient urban logistical ecosystem
Applying Quantum Computing to urban logistics to optimize routes, reduce costs and emissions, improve sustainability, and tackle complex problems with scalable solutions.
-
Case Study
Labour Information System of Emilia-Romagna (SILER)
Labour Information System to centralize data and service management, ensuring interoperability between the regional system, local authorities, other regions, Ministry of Labour through application cooperation services.
-
Case Study
Reengineering of the Health Record of the Regione Molise
The evolution will facilitate information sharing among healthcare facilities and ensure citizens access to an integrated and coordinated service.
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