Project description
New interface to protect against fake news
All it takes is just one fake news story going viral for a company, government or personal reputation to be severely damaged. Monitoring is a crucial form of defence against the thousands of online news sources that publish false information. The EU-funded Factmata project will develop algorithms and an intelligent interface to detect and cluster claims, rumours, opinions, arguments and stances in social media, news and blogs. This will help public relations campaign analysts gain insight on how public opinion is shifting on key policy discussions. Not only will this optimise their communication strategy, it will also protect against negative rumours about their clients that can damage their reputation.
Objective
Organisations (governments/brands) face major issues and are finding it increasingly difficult to tackle information warfare and emerging defamation threats on social media. Rumour mongering, false claims, and aggressively toxic opinions online have severe detrimental effects. Many policy and product launches are executed without granular awareness of how they might be received according to what stance the public is taking, and arguments the public is making in relation to a specific product/policy issue. Stock prices can also take a major hit. Many organisations (PR/Financial analysts/Governments/Agencies) use media analysis to monitor mentions of themselves online; however, current social listening and media monitoring tools are limited: they cannot perform sophisticated detection of key arguments and who is making them, and cannot thus identify useful influencers; they offer poor quality sentiment analysis via keyword detection which does not give insight as to the reason for sentiment, nor explain what rumour or claim caused it to change. Factmata aims to solve this challenge through development of an intelligent media analysis system that can detect and cluster claims, rumours, opinions, arguments, and stances in social media, news and blogs using natural language processing. Unlike current solutions which are limited by simple keyword analysis of media to provide tracking around sentiments, our solution provides algorithms and an interface that can detect, cluster and track claims, rumours, opinions, arguments and stances toward key topics (such as medical/clinical topics or political policy related topics). This enables PR campaign analysts to fully understand how public opinion is shifting on key policy discussions and thus optimise PR and social media messaging and also protect against negative rumours about their clients that can damage their reputation, which is a major risk in today’s “fake news” crisis with the rise of bot and troll networks online.
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.
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.
You need to log in or register to use this function
We are sorry... an unexpected error occurred during execution.
You need to be authenticated. Your session might have expired.
Thank you for your feedback. You will soon receive an email to confirm the submission. If you have selected to be notified about the reporting status, you will also be contacted when the reporting status will change.
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.
-
H2020-EU.2.3. - INDUSTRIAL LEADERSHIP - Innovation In SMEs
MAIN PROGRAMME
See all projects funded under this programme -
H2020-EU.3. - PRIORITY 'Societal challenges
See all projects funded under this programme -
H2020-EU.2.1. - INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies
See all projects funded under this programme
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.
SME-1 - SME instrument phase 1
See all projects funded under this funding scheme
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) H2020-EIC-SMEInst-2018-2020
See all projects funded under this callCoordinator
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.
E1 7PT LONDON
United Kingdom
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.
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.