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Fake News Recognition applying Service-based Cross-Media Analytics

Project description

Cross-media analytics to bust fake news

Fake news has become a rising and concerning trend. Though fact checking services have emerged as a result, current solutions fail on many fronts. They are also extremely time consuming, relying on manual activities, focusing mainly on politics and political statements. TruthCheck offers an alternative approach, combining both existing and novel technologies. TruthCheck is set to be available to the public as a free version. Licenses are also being offered to private enterprises, government institutions and non-government agencies.

Objective

The phenomenon of fake news is as old as human’s ability to communicate. Recently, technology has made it easy to spread fake news with unprecedented speed towards the unprotected public, which has resulted in undesired external influence in European elections and referenda (Brexit, Catalonia).
Though a variety of fact checkers have arisen out of nowhere, current solutions fail on many aspects: they are primarily based on manual activities, focus mainly on politics and political statements and are highly country-/language specific. Due to the speed and sheer size of the Internet and Social Media platforms, manual defence against fake news is futile. Automated solutions are required involving automatic algorithms that quickly identify fake news and tag them as such, allowing Europeans to make educated, correct decisions. At SAIL LABS, we develop an alternative fact checker: TruthCheck. This combines available and novel technologies such as Machine-Learning algorithms, Trust Modelling, Natural Language Processing, and Speech-, Image- and Video-Recognition to verify feeds from TV, Radio, Newspapers, Internet and Social Media in 31 languages on a semi-automatic basis. TruthCheck will be available as free version to the public, while licenses are offered to enterprises, NGOs and governmental institutions. In absence of a clear market leader we intend to take the opportunity to become first-comer in this segment, thereby targeting the fast-growing market of media analysis. Through this project, we intend to assess and develop the required commercial and technical work that it needs to ensure successful and swift market launch.

Fields of science (EuroSciVoc)

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Topic(s)

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Funding Scheme

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SME-1 - SME instrument phase 1

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Call for proposal

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(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

HENSOLDT ANALYTICS GMBH
Net EU contribution

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.

€ 50 000,00
Address
MARIANNENGASSE 14
1090 Wien
Austria

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Ostösterreich Wien Wien
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
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Total cost

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.

€ 71 429,00
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