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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.

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

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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