In a significant development that reflects the changing culture of academic publishing, Robbert-Jan Adriaansen recently published his article “Latent and explicit mnemonic communities on social media: studying digital memory formation through hashtag co-occurrence analysis” in the journal Memory, Mind & Media.
Alongside the article, Adriaansen provided a Jupyter Notebook containing the full Python code implementation used in the research, hosted on the cloud-based platform CoCalc. This makes Adriaansen the first author to publish code alongside an article in the social sciences and humanities at Cambridge University Press.
This initiative by Memory, Mind & Media and Cambridge University Press signals a shift towards greater transparency, reproducibility, and accessibility in the dissemination of research. By providing readers with access to the underlying data and reproducible code, Cambridge University Press encourages a more interactive and dynamic engagement with the published work. Importantly, publishers themselves are now integrating notebooks with the articles, as opposed to authors publishing code separately on platforms like GitHub. Memory, Mind & Media is the first journal in the social sciences and humanities at Cambridge University Press to offer code implementations alongside articles and is only preceded by the Journal of Fluid Mechanics.
Adriaansen’s article studies the nature and dynamics of mnemonic communities on social media platforms. It proposes a method of identifying these communities through hashtag co-occurrence analysis. The article distinguishes between ‘explicit’ and ‘latent’ mnemonic communities, arguing that while explicit communities are characterized by direct interactions and a shared awareness among members, latent communities emerge through the collective use of hashtags and other semiotic markers without necessarily involving direct communication between users.
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Read the full article via: https://www.cambridge.org