MOGPlay: A Decentralized Crowd Journalism Application for Democratic News Production
Lima, Ines Rito; Marinho, Claudia; Filipe, Vasco; Ulisses, Alexandre; Saurabh, Nishant; Chakravorty, Antorweep; Zhao, Zhiming; Hristov, Atanas; Prodan, Radu
(2022)
Proceedings: IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM), pp. 462 - 469
14th IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2022, pp. 462 - 469
(Part of book)
Abstract
Media 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
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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.
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Keywords: citizen-generated content, Crowd journalism, decentralized app, marketplace, social media, Taverne, Artificial Intelligence, Computer Networks and Communications, Information Systems, Information Systems and Management, Communication
ISBN: 9781665456616
Publisher: Institute of Electrical and Electronics Engineers Inc.
Note: Funding Information: This work received funding from: Funding Information: To address this need, the ARTICONF project [1] funded by the European Union researches and develops a novel set of trustworthy, resilient, and globally sustainable tools for social DApp development and operation. It aims to address issues of trust, time criticality, and democratization for a new generation of federated infrastructures that fulfill the promises of privacy, robustness, and autonomy that proprietary social media platforms have failed to deliver so far. In particular, it: 1) Streamlines the creation of agile DApps using a two-stage permissioned blockchain architecture; 2) Automatically detects and analyzes contextualized interest groups and communities without privacy violation; 3) Elastically auto-scales social media DApps on adaptive cloud infrastructures according to their requirements; 4) Amplifies monetary inclusion in collaborative models through smart aggregation and guided analytics. By creating an open, transparent, and agile ecosystem supported by underlying blockchain technology, ARTICONF presents itself as an alternative to centralized social media platforms controlled by single authorities. Publisher Copyright: © 2022 IEEE.
(Peer reviewed)
