Module 1. Project Management and Coordination
Management of the project requires significant coordination, synchronization and transparency in each of the different tasks in order to achieve the objectives set. Project management goes beyond coordination of the scientific and technical aspects; it must supervise the fulfilment of the project objectives and ensure continuous communication between both teams.
Module 2. Analysis of the problem
As a starting point for the scientific tasks to be carried out by the project, it is necessary to initiate activities to describe domains and scenarios, to study existing technologies and algorithms, i.e. the state of the art, and the feasibility of obtaining information for subsequent analysis. An adequate knowledge of the challenges to be addressed will allow for a more rigorous, rational and systematic research process.
Module 3. Creation of resources
For the development and exploration of techniques to address the challenges posed in the project, it is essential to have data, which requires not only the extraction and compilation of information on the scenarios under study, but also the curation, annotation and enrichment of this information to obtain
Module 4. Design of methods and algorithms
This module is the most extensive proposed by the project, as it incorporates the tasks with the greatest research burden. Following the detailed analysis of the domains, scenarios, current techniques, information sources, as well as the specific challenges to be solved, in this module we will identify the expected response of future solutions. The module will explore new methods and techniques that break the state of the art and provide a breakthrough in the search for solutions to the problems indicated. To model digital content, all the information related to the context where this content is produced and consumed is relevant: its textual content, the profiles of the digital entities involved in the exchange, the network structure maintained by these entities. This requires a novel approach to the construction of models, which must deal with heterogeneous features (text, network structure, temporal evolution, additional features present…). From feature engineering to end-to-end solutions, the holistic reality of digital content must be considered in the search for models that allow inference processes (classification and decision making) in the detection of both beneficial (hope-speech and secure content) and malicious (hate-speech and fake news) content.
Module 5. Integration and evaluation
This module includes all activities associated with the integration of components (algorithms, techniques and tools) for the development of software applications that serve as technology demonstrators.
Module 6. Dissemination
One of the main concerns of this project is the promotion and dissemination of the lines of research throughout the international scientific community with the aim of consolidating efforts and maximizing results. For this reason, we understand that our methodological planning requires a specific module 23 de 35 directed by a person who will be responsible for the close monitoring of the dissemination plan described in section 4.2.