JOURNAL ARTICLE

Why don't more journalists and documentary makers use spatial audio? Barriers to sonic experimentation in contemporary radio and podcast production cultures.

  • Published In: Radio Journal: International Studies in Broadcast & Audio Media, 2025, v. 23, n. 2. P. 161 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Wincott, Abigail 3 of 3

Abstract

This article examines the limited use of spatial, immersive, or three-dimensional (3D) sound in factual radio and podcast production, despite its potential to enhance listener immersion and realism. Based on five years of international research with journalists, sound engineers, and producers, it identifies key barriers to adoption including professional cultures prioritizing speed and information over production values, prevalent lone working that limits collaboration and skill-sharing, and deadline-driven workflows that discourage experimentation. The article also highlights historical and organizational factors, such as underinvestment in equipment and training, departmental separations between news and documentary teams, and the challenges posed by existing production practices. Ultimately, the study situates the underuse of spatial audio within broader structural issues affecting audio journalism and documentary-making, suggesting that addressing these cultural and institutional constraints is essential for expanding creative audio storytelling.

Additional Information

  • Source:Radio Journal: International Studies in Broadcast & Audio Media. 2025/10, Vol. 23, Issue 2, p161
  • Document Type:Article
  • Subject Area:Communication and Mass Media
  • Publication Date:2025
  • ISSN:1476-4504
  • DOI:10.1386/rjao_00121_1
  • Accession Number:190994179
  • Copyright Statement:Copyright of Radio Journal: International Studies in Broadcast & Audio Media is the property of Intellect Ltd. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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