Objectif
Fake News are now a hot issue in Europe as well as worldwide, particularly referred to Political and Social Challenges that reflect in business as well as in industry. Europe is lacking of a systematic knowledge and data transfer across organizations to address the aggressive emergence of the well-known problem of fake news and post-truth effect. The possibility to use 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: a) Media Companies: news agencies, broadcaster, newspapers, etc, b) Governmental institutions and organisations, c) The overall industrial ecosystem, d) The entire society. 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. European tradition in democracy, journalism and transparency should play a wordwide example in fast changing society, where all citizens appears completely overwhelmed by the new technologies and by the new social challenges. The FANDANGO project aims to break 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 will be 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.
Champ scientifique
- sciences socialesmédias et communicationjournalisme
- sciences naturellesinformatique et science de l'informationscience des donnéesmégadonnées
- sciences socialesscience politiquesystèmes de gouvernementdémocratie
- sciences naturellesinformatique et science de l'informationintelligence artificielleapprentissage automatiqueapprentissage profond
- sciences socialessociologiedémographiemigration humaine
Programme(s)
Régime de financement
IA - Innovation action
Coordinateur
00144 Roma
Italie
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Participants (7)
87100 Cosenza
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L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.
1043 Brussel
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57001 Thermi Thessaloniki
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H91CR20 Galway
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L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.
28003 Madrid
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L’entreprise s’est définie comme une PME (petite et moyenne entreprise) au moment de la signature de la convention de subvention.
28040 Madrid
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00187 Roma
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