Article published In: Journal of English for Research Publication Purposes
Vol. 6:1 (2025) ► pp.146–168
Tackling complexity
Genre interactions in digital media environments
Published online: 4 December 2025
https://doi.org/10.1075/jerpp.25019.per
https://doi.org/10.1075/jerpp.25019.per
Abstract
In this conceptual article I aim to advance our understanding of digital genre networks in online science
communication. Specifically, I develop genre theory by drawing on the meta-theory of complexity, which involves two highly
influential interpretive frameworks, complexity theory and complex systems theory, and their related subfields, complex network
theory and complex dynamic systems theory. I conceptualise digital genre networks as analogous to complex, dynamic systems, with
their constituent genres acting as interconnected nodes that achieve specific social actions. I explain the theoretical and
practical rationales behind this conceptual model and outline how to empirically demonstrate the structured heterogeneity and
holistic behaviour of digital genre networks using several constructs from the meta-theory of complexity — non-linearity,
adaptability, coevolution, self-organisation and dynamic interactions. The conceptual model also involves methodological
developments, which I illustrate using case study research designs. Finally, I suggest some future directions for expanding the
field of English for Research Publication Purposes and broader fields, and propose ways of training researchers who need or want
to compose digital genre networks to increase the visibility and impact of their work.
Article outline
- 1.Genres and digital communication
- 1.1Trends and practices
- 1.2Contexts and recontextualisations
- 2.Rationales for a conceptual shift
- 2.1Theoretical rationales
- 2.2Practical rationales
- 3.Theories and analogies
- 3.1Beyond single genres
- 3.2The interconnectedness of digital genres
- 4.Analogies for tackling complexity
- 4.1Non-linearity
- 4.2Self-organisation
- 4.3Adaptability
- 4.4Co-evolution
- 4.5Collective dynamics
- 5.Breaking down complexity
- 5.1Operationalisation of constructs
- 5.2Sampling, representativeness and scalability
- 5.Conclusion and implications
- Acknowledgements
References
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