Machine-Assisted Reporting In The Era Of Mobile Journalism:, The MOJO-Mate Platform

Growing Media Skills and Know-How In Situ: Technology-Enhanced Practices and Collaborative Support in Mobile News-Reporting

“…Following the aforementioned methodology, the mobile journalism machine assisted reporting (MoJo-MATE) platform was introduced [16]. MoJo-MATE is a platform that aims at offering functionality that covers the needs of all the contributors of a mojo newsroom, namely on-site reporters, citizen journalists, editors, multimedia experts, and tech staff, as well as the public.…”

“…Furthermore, the proliferation of mobile devices (smartphones and tablets) and their communicative capabilities have intensified their role in technology-enhanced learning and everyday informatory services [1,[6][7][8][9][10][11][12][13]. In this direction, mobile journalism (mojo) forms a representative example, in which both new tools (i.e., mojo apps for journalists and targeted audience) and learning resources have to be produced, shaped, and adapted to the users' needs and preferences [14][15][16].…”

“…MoJo-MATE is a newly introduced platform aimed at supporting journalists, reporters, and newsrooms in incorporating mojo [14][15][16]. Following the main/typical implementation phases (analysis, design, development, and evaluation) of software and multimedia production [45][46][47][48][49][50][51] that were also deployed in the case of MoJo-MATE prototyping [14][15][16], the current work pursues media literacy support by propelling best-practices adoption and offering (in-situ) digital support services, through responsive machine assistance and on-demand guidance/collaboration with other users.…”

“…MoJo-MATE is a newly introduced platform aimed at supporting journalists, reporters, and newsrooms in incorporating mojo [14][15][16]. Following the main/typical implementation phases (analysis, design, development, and evaluation) of software and multimedia production [45][46][47][48][49][50][51] that were also deployed in the case of MoJo-MATE prototyping [14][15][16], the current work pursues media literacy support by propelling best-practices adoption and offering (in-situ) digital support services, through responsive machine assistance and on-demand guidance/collaboration with other users. In this context, the present paper deals with highly-interdisciplinary ongoing media paradigms (confidently handled mainly by technology experts), focusing on the aspects of technology-enhanced (on-demand) learning, with a two-folded target: To present the analysis and evaluation of the MoJo-MATE rapid prototyping process and to validate specific hypotheses related to its educatory character and impact by answering the corresponding research questions.…”

Semantic Crowdsourcing of Soundscapes Heritage: A Mojo Model for Data-Driven Storytelling

“…The current work focuses on the collaborative collection and documentation of soundscapes and environmental sound semantics, which apart from CH, also significantly impact human life quality in multiple perspectives (as explained in the next sections). The whole approach has many similarities with sophisticated Mobile Journalism (MoJo) services, helping professional and citizen journalists collect news-items and shape them into featured data-driven storytelling [23,24]. Relying on the so-called MoJo-mate platform (Mobile Journalism Machine-Assisted Reporting) [23,24], an analysis is held regarding model elaboration and adaptation for the needs of soundscape heritage purposes.…”