Addressing Misinformation, Disinformation and Propaganda is one of the biggest challenges of our societies, and a priority for public authorities such as the United Nations (UN), the World Health Organisation and the European Union, the European Parliament and its Members States on the impact of disinformation on democratic processes and human rights in the world. Other initiatives like the European Digital Media Observatory which has developed Policies to tackle disinformation in the member states and promoting European communities to fight against Disinformation and the New European Media vision 2030.
The platform SAFERNEWS intends to develop the first EU-based Global monitoring platform safernews.eu using Big Data, AI/ ML covering misinformation, disinformation promotion of harmful products& behaviour and propaganda. This B2B2C platform will be used by public authorities, Health organisations, media and researchers. Our Focus area for REACH is: Digital Marketing Misinformation on Health topics covering a Disinformation on social media and Web of Elderly topics. The objective is to compile, analyse and monitor the digital communication proliferation, source and conduct regarding active and health ageing topics that can be detrimental to senior quality of life such as: a- Fake news i.e., ingestion of large quantities of garlic will prevent contracting covid-19, so no other preventative measure is required b-Misguided information i.e., strenuous exercise once a week, replaces a daily active lifestyle and healthy eating c- Promotional messages i.e., bladder-control medications recommended by influencers, that can mask an illness that requires medical attention.
We have signed two Letter of collaboration with Large Elderly centres one in Slovenia and the other in Italy.
Our Ambition is to develop the first EU-based Global Digital Marketing monitoring platform covering misinformation for elderly promotion of harmful products & behaviour. Our second ambition is to be able to monitor Sport Brands and discussion during sport events.
Usage of Standards for data interoperability:
The project will comprise the collection and processing of data obtained from social media and Web and data generated throughout the platform. Based on the methods and purpose of data collection we identified several types of data to manage structure and Unstructured data like text, images, videos Data; Simulation data; Derived data; Metadata; and Calibration documents. Since human subjects are involved, an informed consent for public data sharing under in full respect of GDPR. Our data will respect data ‘FAIR’ principles, that is Findable, Accessible, Interoperable and Re-usable.
As an active member of the Big Data Value Association (BDVA) we follow the required standards for interoperability from the Data collection, Data preparation, Data Validation, the processing of personal data will be governed, inter alia, by the provisions on privacy and ethical principles and the application of the principle of fairness in the processing of data. The software platform will be developed and oriented according to the principles of AI Data Driven Value Chain in Decision-Making. All the layers will be used to feed the machine learning models while allowing to bring evolutions according to the types of data exploited ranging from data generation and acquisition, through to data processing and analysis, then to curation, usage, service creation and provisioning. Each link in the entire value chain will be strong so that vibrant visualisation and analytics will be provided.