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![Figure 1. The envisioned concept architecture of the proposed model [8].](profile/Charalampos-Dimoulas/publication/357719739/figure/fig1/AS:1113518162100224@1642494826938/The-envisioned-concept-architecture-of-the-proposed-model-8_Q320.jpg)
Nowadays, news coverage implies the existence of video footage and sound, from which arises the need for fast reflexes by media organizations. Social media and mobile journalists assist in fulfilling this requirement, but quick on-site presence is not always feasible. In the past few years, Unmanned Aerial Vehicles (UAVs), and specifically drones,...
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... framework consists of the modules shown in Figure 3, which outlines the conceptual architectural processes as described above. The innovation of this design lies in the ability of the system to continuously improve its performance, while also being able to handle each different input type independently by inserting new "pluggable" entities into the system (e.g., interaction with the devices of mobile journalists). ...
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Citations
... The so-called SW services embody and integrate technologies aiming to complete the transition from today's Web of documents to a Web of well-documented data, where every piece of information will be accompanied by its semantic, conceptual, and contextual metadata. Fully structured and clarified relations to others (users, events, stories, models, etc.) will expedite data visualization and display purposes, also facilitating interoperability and integration between systems, environments, and applications, interconnecting concepts rather than just documents [4][5][6][7][8][9][10][16][17][18][19]. Thus, journalists and plenary individuals (content contributors and news consumers) will be able to efficiently discover, integrate, and reuse pieces of information from various sources. ...
... Contemporary Semantic Web and Big Data technologies are continuously elaborated to advance multimodal data analysis concerning information classification, semantic conceptualization and contextualization, content validation, and management automations, which can be primarily deployed in the sensitive news and media domains [1][2][3][4]16,[19][20][21][22][23][24][25][26][27][28][29]. These modular automation and augmentation layers can fuel interaction mechanisms between corporations, machines, and individuals to accelerate crowdsourcing procedures for constructing and maintaining suitable media repositories [16,18,27,29]. Thereafter, digital literacy initiatives and audience engagement strategies can enhance the impact of SW services in the media world and the broader society. ...
... Thereafter, digital literacy initiatives and audience engagement strategies can enhance the impact of SW services in the media world and the broader society. The current Special Issue enlightens the above perspectives through theoretical, algorithmic/technological, and case-study contributions, discussing challenges and state-of-the-art solutions on news detection, classification, (semantic) analysis and evaluation [12,18,27,29,30], automated modeling/prediction, generation, and recommendation of news content [19,[31][32][33], evolution, aesthetics, and integration evaluation of Web 3.0 elements in news websites [34][35][36]. ...
We live in a digital era, with vast technological advancements, which, among others, have a major impact on the media domain. More specifically, progress in the last two decades led to the end-to-end digitalization of the media industry, resulting in a rapidly evolving media landscape. In addition to news digitization, User-Generated Content (UGC) is dominant in this new environment, also fueled by Social Media, which has become commonplace for news publishing, propagation, consumption, and interactions. However, the exponential increase in produced and distributed content, with the multiplied growth in the number of plenary individuals involved in the processes, created urgent needs and challenges that need careful treatment. Hence, intelligent processing and automation incorporated into the Semantic Web vision, also known as Web 3.0, aim at providing sophisticated data documentation, retrieval, and management solutions to meet the demands of the new digital world. Specifically, for the sensitive news and media domains, necessities are created both at the production and consumption ends, dealing with content production and validation, as well as tools empowering and engaging audiences (professionals and end users). In this direction, state-of-the-art works studying news detection, modeling, generation, recommendation, evaluation, and utilization are included in the current Special Issue, enlightening multiple contemporary journalistic practices and media perspectives.
... An individual drone or a set of drones have been implemented in [24] to mediate real-time breaking news coverage and to support the future drone journalism services. The study emphasized that drones have merits of the smart journalism concept including a longer range, and fast news gathering and broadcasting that can be done using an autonomous drone. ...
In the recent digital age, information and communication technologies are rapidly contributing to remodel the media and journalism. Numerous technologies can be utilized by the media industry to capture news or events, taking footage and pictures of a breaking news. Technology and the media are interwoven, and neither can be detached from contemporary society in most nations. Unsurprisingly, technology has affected how and where information is shared. Nowadays, it is impractical to discuss media and the methods in which societies communicate without addressing the rapidity of technology change. Thus, the aerial journalism term has emerged, which refers to the ability of creating and conveying media content in a timely and efficient fashion. This work aims to integrate a drone with AI to empower aerial journalism via training a neural network to obtain an accurate channel using the NN-RBFN approach. The proposed work can enhance aerial media missions including investigative reporting (e.g., humanitarian crises), footage of news events (e.g., man-made and/or natural disasters), and livestreams for short-term, large-scale events (e.g., Olympic Games). In our digital media era, such a smart journalism approach would help to become far more sustainable and an eco-efficient process. Both MATLAB and 3D Remcom Wireless Insite tools have been used to carry out the simulation work. Simulated results indicate that the proposed NN-RBFN managed to obtain an accurate channel propagation model in a 3D scenario with a high accuracy rate reaching 99%. The proposed framework also could offer various media and journalism services (e.g., high data rate, wider coverage footprint) in timely and cost-effective manners in both normal scenarios or even in hard-to-reach zones and/or short-term, large-scale events.
One of the most extended uses of drones for journalistic purposes consists of obtaining aerial images that are difficult to cover with the physical presence of journalists. In this chapter, other important narrative utilities, such as their use for investigative and whistle-blower journalism, data journalism, immersive journalism, media coverage of protest sporting and cultural events, urgent media coverage, armed conflict reporting, and live broadcasting, are analyzed. Additionally, a perspective of the obstacles to their incorporation into newsroom routines, despite the existence of an emerging industry is offered.
Recommender Systems support a broad range of domains, each with peculiarities that recommendation algorithms must consider to produce appropriate suggestions. In the paper, we bring attention to a little-studied scenario related to the news domain: recommendations catering to media journalists. Based on the particular needs inherent to a newsroom, the authors introduce SJORS, a wire news Recommender System that takes into account the activities of each journalist as well as other critical factors that arise in this particular domain, such as wire news recency. Given the nature of the items recommended, SJORS deals with the inherent ambiguity of natural language by exploiting different semantic techniques and technologies. The authors have conducted several experiments in a media company, which validated the performance and applicability of the system. Outcomes emerging from this work could be extended to other domains of interest, such as online stores, streaming platforms, or digital libraries, to name a few.
The chapter examines the history of Mobile Journalism and deals with the concept of Mobile Journalism, introducing the equipment used for Mobile Journalism. The chapter also elucidates the detailed process of production of media content creation through mobile phones. In addition it also discussed the issues and challenges of Mojo journalism
The adoption of Internet of Things (IoT) Drones in journalism had signaled a digital revolution that altered news reporting, intelligence gathering, and the management of journalistic information processing which epitomizes information communication technologies(ICTs) digital ascendancy. Considering the inherent benefits of IoT Drones as demonstrated by their widespread application, Drones can record
and transmit live video to ground-based base stations, which is more specifically useful in journalism. In line with the spread of forensic modernity, the current study found that audiences that value the use
of creative and interactive technology will perceive news media utilizing IoT Drones as more moral. In the analysis, a respectable percentage of respondents favored Drone use in journalism. The paper recommended that, the use of IoT Drone technology in objective and investigative journalism will solidify
the digital forensics methodology, given the framework for approaches and advancements that should be considered when conducting Drone forensic investigations.
