Digital Rhetorical Ecosystem Analysis: Sensemaking of Digital Memetic Discourse

Catalog Row77

Citation KeyFriedman2021DigitalRhetoricalEcosystemAnalysis077

Paper FolderAvailable

Platform availability

✅ Zenodo
⬜ GitHub
⬜ arXiv
⬜ OSF
⬜ HuggingFace
⬜ Software Heritage
⬜ PyPI
✅ Full documentation

Overview

Extracted from the local paper documentation when available.

This paper makes a case for integrating rhetorical studies with ecological studies to catalog, monitor, and study digital image meme data. We develop a Digital Rhetorical Ecosystem three-tiered model (DRE3) that explains how memes impact public narratives and beliefs through parsimony, polysemy, and identity construction. The DRE3 model provides a framework for designing systems for computational...

digital rhetoricimage memesDRE3 modelnarrative ecosystemsrhetorical ecologysensemakingcomputational discourse analysis

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

makes a case for integrating frameworks from two different knowledge domains, rhetorical studies and ecological studies, to catalog, monitor, and study digital image meme data, in order to support a more robust understanding of how memes produce and disseminate online narratives..
In the digital public sphere, the primacy of image-based communication motivates an over-reliance on the image meme for public argumentation..
Despite its ubiquity, the image meme format is currently understudied in large scale digital data analyses, relative to text -based formats such as natural language and hashtags..

Methods / Techniques

Narrative analysis
Trust and integrity modeling

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2021. Digital Rhetorical Ecosystem Analysis: Sensemaking of Digital Memetic Discourse. Zenodo. DOI: 10.5281/zenodo.5573946. URL: https://doi.org/10.5281/zenodo.5573946.

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