Opendata, web and dolomites

SocialTruth SIGNED

Open Distributed Digital Content Verification for Hyper-connected Sociality

Total Cost €

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EC-Contrib. €

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Partnership

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Views

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 SocialTruth project word cloud

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

interfaces    validity    web    auditability    content    single    paradigms    prevent    misinformation    environment    shared    ambition    journalists    integration    led    networks    investigative    companion    detection    revealing    difficult    cascades    deterioration    everyday    avoidance    published    completely    browsers    internal    media    game    create    blockchain    poor    multimedia    advantages    continuous    resilience    extreme    lack    empowering    platforms    establishing    pluralistic    combinations    centralised    verification    reputation    social    spread    distinctive    checks    advertising    decentralized    individual    benefit    cross    lock    news    search    analytics    ecosystem    powered    digital    veracity    governance    authors    verify    lifelong    socialtruth    fake    oriented    attempts    interaction    quality    learning    sustainable    party    combination    establishment    observatory    programming    adoption    trust    democratic    boost    successfully    distributed    sources    image    checking    services    vendor    engines    video    entrust    standard    convenient    configurable    scalability    immutability   

Project "SocialTruth" data sheet

The following table provides information about the project.

Coordinator
INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS 

Organization address
address: Patission Str. 42
city: ATHINA
postcode: 10682
website: www.iccs.gr

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 Greece [EL]
 Total cost 3˙178˙110 €
 EC max contribution 2˙505˙027 € (79%)
 Programme 1. H2020-EU.2.1.1. (INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT))
 Code Call H2020-ICT-2018-2
 Funding Scheme IA
 Starting year 2018
 Duration (year-month-day) from 2018-12-01   to  2021-11-30

 Partnership

Take a look of project's partnership.

# participants  country  role  EC contrib. [€] 
1    INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS EL (ATHINA) coordinator 380˙000.00
2    THALES SIX GTS FRANCE SAS FR (GENNEVILLIERS) participant 497˙077.00
3    EXPERT SYSTEM FRANCE FR (PARIS) participant 373˙100.00
4    QWANT FR (PARIS) participant 320˙600.00
5    UNIWERSYTET TECHNOLOGICZNO PRZYRODNICZY IM JANA I JEDRZEJA SNIADECKICH W BYDGOSZCZY PL (BYDGOSZCZ) participant 252˙500.00
6    LONDON SOUTH BANK UNIVERSITY LBG UK (LONDON) participant 225˙000.00
7    ADN-KRONOS SOCIETA' PER AZIONI AGENZIA GIORNALISTICA DI INFORMAZZIONI IT (ROMA) participant 134˙750.00
8    TECOMS SRL IT (ROMA) participant 96˙250.00
9    DE AGOSTINI SCUOLA SPA IT (NOVARA) participant 88˙375.00
10    ASOCIATIA INFOCONS RO (BRASOV) participant 77˙000.00
11    ZANASI ALESSANDRO SRL IT (MODENA) participant 60˙375.00

Map

 Project objective

The extreme growth and adoption of Social Media, in combination with their poor governance and the lack of quality control over the digital content being published and shared, has led information veracity to a continuous deterioration. Current approaches entrust content verification to a single centralised authority, lack resilience towards attempts to successfully “game” verification checks, and make content verification difficult to access and use. In response, SocialTruth’s ambition is to create an open, democratic, pluralistic and distributed ecosystem that allows easy access to various verification services (both internal and third-party), ensuring scalability and establishing trust in a completely decentralized environment. The distinctive advantages are: a) avoidance of vendor lock-in through access to configurable combinations of various content analytics and verification services (with support for text, image and video content) via standard Application Programming Interfaces; b) distributed trust and reputation establishment powered by blockchain technology, ensuring immutability and auditability, revealing information cascades and empowering an information veracity observatory; c) integration of lifelong learning approach for detection of new paradigms of fake news; d) easy interaction through a Digital Companion that allows convenient everyday access of individual users to verification services from within their browsers. SocialTruth will benefit: a) Individual users to verify the validity of Social Media content and prevent misinformation spread; b) Media organisations, content authors and journalists to boost their investigative capabilities by enabling improved cross-checking of various multimedia information sources; c) Search engines, Social Media platforms and e-advertising networks to improve information veracity and contribute into a more sustainable and quality-oriented web and social media ecosystem.

 Deliverables

List of deliverables.
Overall Evaluation Plan Documents, reports 2020-04-16 14:27:03
SocialTruth Semantic Analyzer Documents, reports 2020-04-16 14:28:28
Distributed System Architecture, Data Modelling and Interfaces Documents, reports 2020-04-16 14:27:17
Communication and Dissemination Plan v1.0 Documents, reports 2020-04-16 14:27:07
Project Website, Leaflet and Factsheet Websites, patent fillings, videos etc. 2020-04-16 14:27:12
SocialTruth Deep Learning Multimedia Verification Documents, reports 2020-04-16 14:26:58

Take a look to the deliverables list in detail:  detailed list of SocialTruth deliverables.

 Publications

year authors and title journal last update
List of publications.
2019 Gielczyk A., Warzyniak R., Choras M.
Methods for Fake News Classification
published pages: , ISSN: , DOI:
CISIM 2019, Computer Information Systems and Industrial Management 2020-02-05
2019 Ksieniewicz P., Choras M., Kozik R., Wozniak M.
Machine Learning Methods for Fake News Classification
published pages: , ISSN: , DOI:
IDEAL 2019. Lecture Notes in Computer Science, vol 11872, 332-339, Springer, 2019 2020-02-05
2019 Choras M. Pawlicki M., Kozik R., Demestichas K.P, Kosmides P., Gupta M.
SocialTruth Project Approach to Online Disinformation
published pages: , ISSN: , DOI:
Proc. of Criminal Use of Information Hiding (CUING) 2020-02-05

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

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