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designer bags cyber mondayExisting projects The aim of the Horizon2020 funded FANDANGO project 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. As such, 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 increased transparency under the Responsible, Research and Innovation prism. The European Research Council (ERC) supports theoretical investigations, like the one developed by Phil Howard, director of the Oxford Internet Institute and recipient of an ERC Consolidator Grant for project COMPROP on "Computational Propaganda: Investigating the Impact of Algorithms and Bots on Political Discourse in Europe". It applies the best available methods in social and computer science to work on possible solutions. The ERC website and the ERCTalks series had already presented his research. Together with his team, he has been running Coronavirus Misinformation Weekly Briefings and was recently interviewed about disinformation during the coronavirus pandemic. The work developed by Jason Reifler, professor at Exeter University and recipient of a Consolidator Grant for DEBUNKER, a project on "Misperceptions in Politics, Health, and Science: Causes, Consequences, and the Search for Solutions", is presented in this recent article. The European Research Council also supports proof of concept projects like GoodNews, which applies deep learning technology for the detection of fake news. It aims to build a technological capability for algorithmic fake news detection in social media using a novel paradigm. Instead of following the traditional approach of analysing the news content, it will analyse the news spreading patterns in social networks. The algorithmic core of this project is based on a novel class of geometric deep learning algorithms developed in the LEMAN (Learning on Manifolds and Graphs) project. The second call for expression of interest launched in response to the coronavirus pandemic under Horizon 2020 addressed the "Behavioural, social and economic impacts of the outbreak response". Among the 5 selected projects, COVINFORM addresses COVID-19 related dis/misinformation. The project will identify and assess measures to prevent misinformation, disinformation, malinformation, 'fake news' and conspiracy theories, as well as formulate recommendations to tackle them. It will also analyse and help understand the impact of misinformation and digital communication on the mental health and well-being of different groups. The Epidemics Intelligence from Open Sources (EIOS) platform, a collaboration between the World Health Organisation (WHO) and the Joint Research Centre (JRC), was designed to rapidly identify potential public health threats, using information from media reports. It helped WHO to detect the first signs of the coronavirus outbreak in Wuhan at the end of December last year, and has since been used to trace the spread of the disease globally. It is based on the JRC's Europe Media Monitor Medical Information System (MEDISYS) tool, collating up to 120,000 articles per day related to the coronavirus pandemic. the impact of online social networks and new media on individual and collective behaviour, beliefs and values Clusters 3, "Civil security for society", and 4, "Digital, industry and space", will also fund research on combatting disinformation and fake news and raising trust in the digital world and on Artificial Intelligence to fight disinformation. designer bags cyber monday

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