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MOGPlay: A Decentralized Crowd Journalism Application for Democratic News Production

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dc.contributor.authorI. R. Limaen_US
dc.contributor.authorC. Marinhoen_US
dc.contributor.authorV. Filipeen_US
dc.contributor.authorA. Ulissesen_US
dc.contributor.authorN. Saurabhen_US
dc.contributor.authorA. Chakravortyen_US
dc.contributor.authorZ. Zhaoen_US
dc.contributor.authorA. Hristoven_US
dc.contributor.authorR. Prodanen_US
dc.date.accessioned2026-05-21T12:08:27Z
dc.date.accessioned2026-05-22T08:49:54Z
dc.date.issued2022-11-10en_US
dc.description.abstractMedia production and consumption behaviors are changing in response to new technologies and demands, giving birth to a new generation of social applications. Among them, crowd journalism represents a novel way of constructing democratic and trustworthy news relying on ordinary citizens arriving at breaking news locations and capturing relevant videos using their smartphones. The ARTICONF project [1] proposes a trustworthy, resilient, and globally sustainable toolset for developing decentralized applications (DApps). Leveraging the ARTICONF tools, we introduce a new DApp for crowd journalism called MOGPlay. MOGPlay collects and manages audio-visual content generated by citizens and provides a secure blockchain platform that rewards all stakeholders involved in professional news production. Besides live streaming, MOGPlay offers a marketplace for audio-visual content trading among citizens and free journalists with an internal token ecosystem. We discuss the functionality and implementation of the MOGPlay DApp and illustrate three pilot crowd journalism live scenarios that validate the prototype.en_US
dc.format.extent462-469en_US
dc.identifier.citationProceedings of IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2022), Istanbul, Turkey (Hybrid), 10-13 November 2022en_US
dc.identifier.doi10.1109/asonam55673.2022.10068697en_US
dc.identifier.openalexhttps://openalex.org/W4360765026en_US
dc.identifier.urihttps://hdl.handle.net/20.500.15029/161en_US
dc.identifier.urihttps://doi.org/10.1109/asonam55673.2022.10068697en_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.conference2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)en_US
dc.relation.ispartof2022 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)en_US
dc.relation.urihttps://ieeexplore.ieee.org/assets/img/ieee_logo_smedia_200X200.pngen_US
dc.rights.licenseother-oaen_US
dc.rights.urihttps://doi.org/10.15223/policy-029en_US
dc.rights.urihttps://doi.org/10.15223/policy-037en_US
dc.source.urihttps://ieeexplore.ieee.org/abstract/document/10068697en_US
dc.subjectJournalismen_US
dc.subjectComputer scienceen_US
dc.subjectSecurity tokenen_US
dc.subjectSocial mediaen_US
dc.subjectProduction (economics)en_US
dc.subjectCrowdsourcingen_US
dc.subjectTrustworthinessen_US
dc.subjectDemocracyen_US
dc.subjectCitizen journalismen_US
dc.subjectMultimediaen_US
dc.subjectWorld Wide Weben_US
dc.subjectInternet privacyen_US
dc.subjectComputer securityen_US
dc.subjectBusinessen_US
dc.subjectAdvertisingen_US
dc.subjectPolitical scienceen_US
dc.titleMOGPlay: A Decentralized Crowd Journalism Application for Democratic News Productionen_US
dc.typeArticleen_US

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