Project description
Combining machine and human intelligence to tackle disinformation online
Fake news, disinformation and hate speech online are pervasive and exacerbating societal tensions. Amidst growing concern that this harmful rhetoric is inciting violence and driving extremism, a global strategy to counter this digital phenomenon is more important than ever. In this context, the Marie Skłodowska-Curie Actions project HYBRIDS is working to provide researchers with the knowledge and tools they need to tackle disinformation. Specifically, it will integrate the structured knowledge provided by social and human sciences into natural language processing tools and deep learning algorithms. By developing new hybrid intelligence systems, HYBRIDS will combine machine and human intelligence to overcome the shortcomings of existing artificial intelligence methods.
Objective
False rumors, fake news or hate speech against vulnerable minorities through social media are becoming one of the main threats against democracies. A global strategy against disinformation is crucial as open democratic societies rely on free citizens with the ability to access verifiable information so that they can build their own opinions on different political issues. The main scientific objective of HYBRIDS is to provide researchers with the knowledge necessary to design strategies and tools to response to disinformation on the basis of a deep analysis of public discourse. There have been interesting advances in the automatic detection of disinformation by making use of natural language processing and new artificial intelligence techniques in the specific field of machine and deep learning.
However, this is a very complex task that requires a high degree of natural language understanding, inference and reasoning. To improve the strategies to deal with disinformation, HYBRIDS will integrate the structured knowledge provided by social and human sciences into natural language processing tools and deep learning algorithms, so as to develop new hybrid intelligence systems. The concept of Hybrid Intelligence consists of combining machine and human intelligence to overcome the shortcomings of existing artificial intelligence methods.
Even though hybrid systems are likely to become more and more decisive in the immediate future, there are very few experts who can design and develop such systems. This is mainly due to the multidisciplinary nature of the hybrid strategy and the difficulty of finding researchers with full training in traditionally separate disciplines such as computer engineering, social sciences or linguistics. We believe it is time to launch a DN with the necessary requirements to train researchers in hybrid methodologies for their application in social studies with an impact on the sustainability of good democratic practices in Europe.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: The European Science Vocabulary.
This project's classification has been validated by the project's team.
- humanities languages and literature linguistics
- engineering and technology electrical engineering, electronic engineering, information engineering information engineering
- natural sciences computer and information sciences data science natural language processing
- social sciences political sciences government systems democracy
- natural sciences computer and information sciences artificial intelligence machine learning deep learning
Keywords
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Project’s keywords as indicated by the project coordinator. Not to be confused with the EuroSciVoc taxonomy (Fields of science)
Programme(s)
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
Multi-annual funding programmes that define the EU’s priorities for research and innovation.
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HORIZON.1.2 - Marie Skłodowska-Curie Actions (MSCA)
MAIN PROGRAMME
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Topic(s)
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Calls for proposals are divided into topics. A topic defines a specific subject or area for which applicants can submit proposals. The description of a topic comprises its specific scope and the expected impact of the funded project.
Funding Scheme
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
Funding scheme (or “Type of Action”) inside a programme with common features. It specifies: the scope of what is funded; the reimbursement rate; specific evaluation criteria to qualify for funding; and the use of simplified forms of costs like lump sums.
HORIZON-TMA-MSCA-DN - HORIZON TMA MSCA Doctoral Networks
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Call for proposal
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.
(opens in new window) HORIZON-MSCA-2021-DN-01
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Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.
15782 SANTIAGO DE COMPOSTELA
Spain
The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.