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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.

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

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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