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

Michail Niarchos, Marina Eirini Stamatiadou, Charalampos Dimoulas, Andreas Veglis and Andreas Symeonidis
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Michail Niarchos: School of Journalism & Mass Communication, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
Marina Eirini Stamatiadou: School of Journalism & Mass Communication, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
Charalampos Dimoulas: School of Journalism & Mass Communication, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
Andreas Veglis: School of Journalism & Mass Communication, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece
Andreas Symeonidis: School of Journalism & Mass Communication, Aristotle University of Thessaloniki, 54636 Thessaloniki, Greece

Future Internet, 2022, vol. 14, issue 1, 1-19

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.

Keywords: breaking news; semantic processing; natural language processing (NLP); drone journalism; events location estimation (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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