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GoodNews TERMINATED

Fake news detection in social networks using geometric deep learning

Total Cost €

0

EC-Contrib. €

0

Partnership

0

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 GoodNews project word cloud

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

fold    analyze    business    solidifying    convolutional    generalizations    learning    deep    technological    injection    erc    first    hostile    ed    commercial    president    coming    grade    governments    patterns    social    group    demo    network    extensive    content    fake    structured    core    company    foreign    massive    brexit    people    breakthrough    false    establishing    investment    alleged    detection    serious    licensing    ip    news    capability    democracies    elections    sponsored    class    goodnews    threats    spread    world    media    modern    architectures    spreading    unprecedented    plan    perhaps    leman    data    danger    public    constituting    debated    instead    popular    donald    paradigm    patent    centerpiece    algorithmic    verifying    neural    networks    graphs    exposure    decade    votes    automated    manipulation    portfolio    analyzing    manifolds    possibly    opinion    controversy    attracting    outcome    intentionally    market    geometric    algorithms    financeable    ambition    sources    graph    trump    vote    convert   

Project "GoodNews" data sheet

The following table provides information about the project.

Coordinator
UNIVERSITA DELLA SVIZZERA ITALIANA 

Organization address
address: VIA LAMBERTENGHI 10 A
city: LUGANO
postcode: 6904
website: www.usi.ch

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 Switzerland [CH]
 Total cost 150˙000 €
 EC max contribution 150˙000 € (100%)
 Programme 1. H2020-EU.1.1. (EXCELLENT SCIENCE - European Research Council (ERC))
 Code Call ERC-2018-PoC
 Funding Scheme ERC-POC
 Starting year 2018
 Duration (year-month-day) from 2018-09-01   to  2020-02-29

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    UNIVERSITA DELLA SVIZZERA ITALIANA CH (LUGANO) coordinator 150˙000.00

Map

 Project objective

In the past decade, social media have become one of the main sources of news for people around the world. Yet, it comes with the danger of exposure to intentionally false information. The extensive spread of fake news has recently become a centerpiece of controversy following the highly debated elections of President Donald Trump and the Brexit vote. It is alleged that the outcome of these votes resulted from the public opinion manipulation by a massive injection of fake news, possibly sponsored by hostile foreign governments, constituting perhaps one of the most serious and unprecedented threats to the modern democracies.

The ambition of GoodNews is to build the technological capability for algorithmic fake news detection in social media using a novel paradigm. Instead of following the traditional approach of analyzing the news content, we will analyze the news spreading patterns in social networks. The algorithmic core of GoodNews is based on a novel class of geometric deep learning algorithms developed in the ERC project LEMAN (Learning on Manifolds and Graphs). Our research group was among the first in the world to propose, implement, and patent generalizations of popular convolutional neural network architectures to graph-structured data such as social networks, allowing to do deep learning on graphs. The ability to learn fake news spread patterns on social networks will provide the needed breakthrough in the task of automated fake news detection.

GoodNews will convert the geometric deep learning technology into a commercial application of fake news detection in social media. The focus of the project will be three-fold: developing a demo system for fake news detection with real data from social media; verifying and solidifying our IP portfolio and its licensing terms; analyzing the market and coming up with a financeable business plan. We target establishing a company at the end of the project and attracting investment to develop a commercial-grade product.

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

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