Document (#43684)

Author

Smith, A.O.
Hemsley, J.

Title

Memetics as informational difference : offering an information-centric conception of memes

Source

Journal of documentation. 78(2022) no.5, S.1149-1163

Year

2022

Abstract

Purpose Information scientists may find value in studying cultural information evolution and information diffusion through memetics. Information studies in memetics have often found datafication in memetics research difficult. Meanwhile, current memetic scholarship elsewhere is abundant in data due to their focus on Internet artifacts. This paper offers a way to close the datafication gap for information researchers by associating information data with "differences" between memetic documents. Design/methodology/approach This work offers a joint theory and methodology invested in information-oriented memetics. This methodology of differences is developed from a content analysis of difference on a collection of images with visual similarities. Findings The authors find that this kind of analysis provides a heuristic method for quantitatively bounding where one meme ends and another begins. The authors also find that this approach helps describe the dynamics of memetic media in such a way that the authors can datafy information or cultural evolution more clearly. Originality/value Here the authors offer an approach for studying cultural information evolution through the study of memes. In doing so, the authors forward a methodology of difference which leverages content analysis in order to outline how it functions practically. The authors propose a quantitative methodology to assess differences between versions of document contents in order to examine what a particular meme is. The authors also move toward showing the information structure which defines a meme.

Content

Vgl.: https://www.emerald.com/insight/content/doi/10.1108/JD-07-2021-0140/full/html.

Theme

Information

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5. Baroncini, S.; Sartini, B.; Erp, M. Van; Tomasi, F.; Gangemi, A.: Is dc:subject enough? : A landscape on iconography and iconology statements of knowledge graphs in the semantic web (2023) 0.16

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