Stammdaten

smART socIal media eCOsystem in a blockchaiN Federated environment (ARTICONF)
Beschreibung:

Social media platforms are key technologies for next generation connectivity. Social media platforms have the potential to shape and mobilise patterns of communication, practices of exchange and business, creation, learning and knowledge acquisition. Typically, social media are centralised platforms with a single proprietary organisation controlling the network.

This poses critical issues of trust and governance over created and propagated content. This is particularly problematic when data breaches are a regular phenomenon at the hands of centralised intermediaries. To address this, we need innovative solutions at the user level (i.e. that of consumers, prosumers, and businesses) and at the level of the underlying social media environment. This will facilitate global reach, improved trust, and decentralised control and ownership.

ARTICONF researches and develops a novel set of trustworthy, resilient, and globally sustainable decentralised social media services. ARTICONF addresses issues of trust, time-criticality and democratisation for a new generation of federated infrastructure, to fulfil the privacy, robustness, and autonomy related promises that proprietary social media platforms have failed to deliver so far. Namely, its goals are to: (1) simplify the creation of open and agile social media ecosystem with trusted participation using a two stage permissioned blockchain; (2) automatically detect interest groups and communities using graph anonymization techniques for decentralised and tokenized decision-making and reasoning; (3) elastically autoscale time-critical social media applications through an adaptive orchestrated Cloud edge-based infrastructure meeting application runtime requirements; and (4) enhance monetary inclusion in collaborative models through cognition and knowledge supply chains.

Schlagworte: Distributed Social Networks, P2P, smart architectures, Social media
Kurztitel: ARTICONF
Zeitraum: 31.12.2018 - 31.12.2021
Kontakt-Email: -
Homepage: -

MitarbeiterInnen

Kategorisierung

Projekttyp Forschungsförderung (auf Antrag oder Ausschreibung)
Förderungstyp §27
Forschungstyp
  • Grundlagenforschung
  • Angewandte Forschung
Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Genderrelevanz Genderrelevanz nicht ausgewählt
Projektfokus
  • Science to Science (Qualitätsindikator: I)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen Keine Arbeitsgruppe ausgewählt

Finanzierung

Förderprogramm
Horizon 2020
Organisation: European Commission

Organisation: European Commission

Kooperationen

Organisation Adresse
Universiteit van Amsterdam, Faculty of Science. Informatics Institute
Science Park 904
1090 GH  Amsterdam
Niederlande
Science Park 904
NL - 1090 GH  Amsterdam
University of Edinburgh
Edinburgh
Großbrit. u. Nordirland
GB  Edinburgh
University of Information Science and Technology "St. Paul the Apostle"
Partizanska bb
6000  Ohrid
Nordmazedonien
Partizanska bb
MK - 6000  Ohrid
Agilia
Arquitectura Street 2
41015  Sevilla
Spanien
Arquitectura Street 2
ES - 41015  Sevilla
MOG Technologies
Rua Eng. Frederico Ulrich 2650
4470-605  Maia
Portugal
Rua Eng. Frederico Ulrich 2650
PT - 4470-605  Maia
bitYoga AS
Professor Olav Hanssens vei 7A
4021  Stavanger
Norwegen
Professor Olav Hanssens vei 7A
NO - 4021  Stavanger
Vialog Ltd
23 Skyline Village
E14 9TS  London
Großbrit. u. Nordirland
23 Skyline Village
GB - E14 9TS  London