Bridging gaps in image meme research: A multidisciplinary paradigm

Catalog Row31

Citation KeyFriedman2024BridgingGapsImageMeme031

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Overview

Extracted from the local paper documentation when available.

This paper presents a multidisciplinary framework, the Digital Rhetorical Ecosystem (DRE3), for scaling up qualitative analyses of image memes, examining them as quasi-arguments that influence public narratives on political and social issues. It integrates rhetorical analysis with ecological frameworks and computational methods to address the identification of claims in memes, bridging qualitative and quantitative research approaches.

image memesmeme researchdigital communicationnarrative analysisrhetorical analysissensemaking

Use Notes

Concise findings and methods pulled from README/SKILL documentation.

Findings / Concepts

Introduces the Digital Rhetorical Ecosystem (DRE3) framework for analyzing image memes.
Integrates rhetorical theory with ecological frameworks to study the evolution of memetic claims.
Applies computational methods to enhance the identification of claims in image memes at scale.
Addresses the social, political, and cultural dimensions of information phenomena related to image memes.

Methods / Techniques

Utilizes a multidisciplinary approach combining rhetorical analysis and ecological frameworks.
Employs computational techniques for large-scale claim identification in image memes.
Analyzes the interaction and evolution of memetic claims within information ecosystems.
Collects and curates diverse image meme samples from various social media platforms.

Citation

Plain-text citation for quick reuse.

Friedman, Daniel Ari. 2024. Bridging gaps in image meme research: A multidisciplinary paradigm. JASIST.

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