Opendata, web and dolomites

WeVerify SIGNED

WIDER AND ENHANCED VERIFICATION FOR YOU

Total Cost €

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EC-Contrib. €

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Partnership

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 WeVerify project word cloud

Explore the words cloud of the WeVerify project. It provides you a very rough idea of what is the project "WeVerify" about.

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Project "WeVerify" data sheet

The following table provides information about the project.

Coordinator
ONTOTEXT AD 

Organization address
address: TSARIGRADSKO SHOSE 135
city: SOFIA
postcode: 1784
website: n.a.

contact info
title: n.a.
name: n.a.
surname: n.a.
function: n.a.
email: n.a.
telephone: n.a.
fax: n.a.

 Coordinator Country Bulgaria [BG]
 Total cost 2˙931˙000 €
 EC max contribution 2˙499˙450 € (85%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2018-2
 Funding Scheme IA
 Starting year 2018
 Duration (year-month-day) from 2018-12-01   to  2021-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    ONTOTEXT AD BG (SOFIA) coordinator 416˙500.00
2    THE UNIVERSITY OF SHEFFIELD UK (SHEFFIELD) participant 462˙500.00
3    DEUTSCHE WELLE DE (BONN) participant 400˙000.00
4    ETHNIKO KENTRO EREVNAS KAI TECHNOLOGIKIS ANAPTYXIS EL (THERMI THESSALONIKI) participant 380˙000.00
5    ATHENS TECHNOLOGY CENTER ANONYMI BIOMICHANIKI EMPORIKI KAI TECHNIKI ETAIREIA EFARMOGON YPSILIS TECHNOLOGIAS EL (ATHINA) participant 308˙000.00
6    AGENCE FRANCE PRESSE FR (PARIS 02) participant 282˙450.00
7    EU DISINFOLAB BE (BRUSSELS) participant 250˙000.00

Map

 Project 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.

Are you the coordinator (or a participant) of this project? Plaese send me more information about the "WEVERIFY" project.

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The information about "WEVERIFY" are provided by the European Opendata Portal: CORDIS opendata.

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