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GoodNews TERMINATED

Fake news detection in social networks using geometric deep learning

Total Cost €

0

EC-Contrib. €

0

Partnership

0

Views

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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.

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

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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