590
Views
14
CrossRef citations to date
0
Altmetric
Original Articles

Tinker, Tailor, Soldier, Thief: An Investigation into the Role of Drones in Journalism

ORCID Icon
Pages 658-677 | Published online: 20 Dec 2018
 

Abstract

Aerial filming is ubiquitous in contemporary media and drones have been heralded as “game-changers” in the news industry. However, very little academic research appears to have investigated the claim. This research uses a transnational multiple case study to produce a semiotic and discourse analysis which shows how drone images are being used to produce meaning and whether they present challenges to quality journalism. The article examines the content and effect of drone shots in five edited video news items, from USA, Kenya, South Africa, Syria and the Philippines. The research shows that UAVs are instrumental not only in bringing viewers closer to the story but also in distancing them. It suggests that, contrary to some predictions, the use of drones is not revolutionising newsgathering, but is presenting a number of new perspectives, some of which threaten quality journalism. Empirical data indicate that drones are used more often to provide news context than content, and that the use of aerial footage encourages style over substance. The article also demonstrates that “drone journalism” is a potentially rich field of academic study.

Disclosure statement

No potential conflict of interest was reported by the author.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 104.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.