Opendata, web and dolomites


Fake news detection in social networks using geometric deep learning

Total Cost €


EC-Contrib. €






 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.

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

Project "GoodNews" data sheet

The following table provides information about the project.


Organization address
city: LUGANO
postcode: 6904

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


Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 


 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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