Engineering Innovation in
Digital Media & Communication
Research project uses AI, Big Data and Intelligent Analytics to fight and to contrast the diffusion of disinformation.
Approach & Solution
Approach
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.
Using cross sector Big Data management and analytics, along with an effective interoperability scheme for all our data sources, will tackle 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.
Using cross sector Big Data management and analytics, along with an effective interoperability scheme for all our data sources, will tackle 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.
Solution
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
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
Results
Automatic detection of fake news
Analysis of images and videos to monitor possible manipulations
Support to journalists in verifying factual statements
Predictions about the possibility that a news item is misleading
Project value
Innovation
Enabling Technologies
AI & Advanced Analytics
Project Team
Research & Innovation