Article published In: Register Studies
Vol. 6:2 (2024) ► pp.128–174
Podcasts as an emerging register of computer-mediated communication
Published online: 10 June 2025
https://doi.org/10.1075/rs.23010.ehr
https://doi.org/10.1075/rs.23010.ehr
Abstract
Podcasts, a relatively recent audio medium, have risen in popularity since their initial appearance in the
mid-2000s. Yet, little is known about their lexico-grammatical characteristics and their relation to other computer-mediated and
traditional registers. Addressing this gap, we apply Biber-style multidimensional analysis (MDA) to a representative sample of
Spotify podcast transcripts and selected computer-mediated registers (e.g., informational blog, interview) as well as traditional
spoken registers (e.g., broadcast, conversation). We compare their lexico-grammatical characteristics to those of other registers
along the emerging dimensions. We find that, while podcasts share some linguistic characteristics with traditional spoken
registers such as broadcast discussion and scripted speech, they are unlike any of the analyzed registers. In fact, their most
striking characteristic is their considerable internal variability, likely related to their versatility but also due to their
mixing of features and very diverse nature. In short, podcasts are an emerging register of computer-mediated communication.
Article outline
- 1.Introduction
- 2.Podcasts, computer-mediated communication, and register variation
- 3.Methods and data
- 3.1Podcast transcripts as corpus
- 3.2Multi-dimensional analysis
- 4.Podcasts as an emerging register
- 4.1Podcasts and computer-mediated registers
- 4.2Podcasts and traditional spoken registers
- 5.Evaluating the two-step approach
- 6.Conclusion
- Acknowledgements
- Notes
References
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