A Semantic Preprocessing Framework for Breaking News Detection to Support Future Drone Journalism Services

Abstract

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, have evolved to accessible recreational and business tools. Drones could help journalists and news organizations capture and share breaking news stories. Media corporations and individual professionals are waiting for the appropriate flight regulation and data handling framework to enable their usage to become widespread. Drone journalism services upgrade the usage of drones in day-to-day news reporting operations, offering multiple benefits. This paper proposes a system for operating an individual drone or a set of drones, aiming to mediate real-time breaking news coverage. Apart from the definition of the system requirements and the architecture design of the whole system, the current work focuses on data retrieval and the semantics preprocessing framework that will be the basis of the final implementation. The ultimate goal of this project is to implement a whole system that will utilize data retrieved from news media organizations, social media, and mobile journalists to provide alerts, geolocation inference, and flight planning.

Theory and Applications of Web 3.0 in the Media Sector

“…The fifth paper casts light on the semantic preprocessing of Web and Social Media informatory streams, aiming to detect breaking news events, especially those suited for drone coverage (e.g., physical disasters, such as earthquakes or storms, fire or traffic accidents, traffic jam problems, etc.) [18]. Niarchos, Stamatiadou, Dimoulas, Veglis, and Symeonidis (2021) elaborate on the need for news validation and documentation using piece-of-evidence material, such as visual and multimedia documents of photo/video footage.…”

“…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].…”