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WIDER AND ENHANCED VERIFICATION FOR YOU

Objective

Online disinformation and fake media content have emerged as a serious threat to democracy, economy and society. Content verification is currently far from trivial, even for experienced journalists, human rights activists or media literacy scholars. Moreover, recent advances in artificial intelligence (deep learning) have enabled the creation of intelligent bots and highly realistic synthetic multimedia content. Consequently, it is extremely challenging for citizens and journalists to assess the credibility of online content, and to navigate the highly complex online information landscapes.

WeVerify aims to address the complex content verification challenges through a participatory verification approach, open source algorithms, low-overhead human-in-the-loop machine learning and intuitive visualizations. Social media and web content will be analysed and contextualised within the broader online ecosystem, in order to expose fabricated content, through cross-modal content verification, social network analysis, micro-targeted debunking and a blockchain-based public database of known fakes.

A key outcome will be the WeVerify platform for collaborative, decentralised content verification, tracking, and debunking. The platform will be open source to engage communities and citizen journalists alongside newsroom and freelance journalists. To enable low-overhead integration with in-house content management systems and support more advanced newsroom needs, a premium version of the platform will also be offered. It will be furthermore supplemented by a digital companion to assist with verification tasks.

Results will be validated by professional journalists and debunking specialists from project partners (DW, AFP, DisinfoLab), external participants (e.g. members of the First Draft News network), the community of more than 2,700 users of the InVID verification plugin, and by media literacy, human rights and emergency response organisations.

Field of science

  • /natural sciences/computer and information sciences/artificial intelligence
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning/deep learning
  • /social sciences/law/human rights
  • /natural sciences/computer and information sciences/artificial intelligence/machine learning
  • /social sciences/media and communications/journalism

Call for proposal

H2020-ICT-2018-2
See other projects for this call

Funding Scheme

IA - Innovation action

Coordinator

SIRMA AI EAD
Address
135 Tsarigradsko Shose Blvd
1784 Sofia
Bulgaria
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EU contribution
€ 398 125

Participants (7)

THE UNIVERSITY OF SHEFFIELD
United Kingdom
EU contribution
€ 462 500
Address
Firth Court Western Bank
S10 2TN Sheffield
Activity type
Higher or Secondary Education Establishments
DEUTSCHE WELLE
Germany
EU contribution
€ 400 000
Address
Kurt Schumacher Strasse 3
53113 Bonn
Activity type
Public bodies (excluding Research Organisations and Secondary or Higher Education Establishments)
AGENCE FRANCE PRESSE
France
EU contribution
€ 282 450
Address
Place De La Bourse 11 13 15
75002 Paris 02
Activity type
Other
ATHENS TECHNOLOGY CENTER ANONYMI BIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS
Greece
EU contribution
€ 308 000
Address
Rizareiou 10
152 33 Athina
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS
Greece
EU contribution
€ 380 000
Address
Charilaou Thermi Road 6 Km
57001 Thermi Thessaloniki
Activity type
Research Organisations
EU DISINFOLAB
Belgium
EU contribution
€ 250 000
Address
Chaussee De Charleroi 79
1060 Brussels
Activity type
Other
ONTOTEXT AD

Participation ended

Bulgaria
EU contribution
€ 18 375
Address
Tsarigradsko Shose 135
1784 Sofia
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)