Overview
This work advances the systematic study of image memes as communicative artifacts, developing research methodologies for analyzing their creation, distribution, and impact on public discourse. We provide frameworks for classifying meme content, tracking diffusion patterns, and assessing sensemaking impacts.
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Methods and contributions
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Findings and contributions
- The authors argue that image memes function as quasi-arguments whose truncated structure and visual boundary insulate them from counter-arguments.
- In their Toulmin analysis, the Bush/9/11 template meme claims the Ohio derailment was a government conspiracy, relying on an audience-supplied 9/11 'inside-job' warrant.
- DRE3 is presented as filling a gap by adding an intermediate rhetorical-semantic layer between data collection and inference of hidden public narratives.
- Under the fuzzy-set approach, conflicting classifications become measurements of polarization, volatility, or analyst differences rather than intercoder-reliability problems.
- The authors state that DRE3 elements can be incorporated piecemeal into existing meme knowledge graphs such as IMKG and MemeX.
Methods
- Toulmin claim-evidence-warrant analysis of individual image memes — Applies Toulmin's argument model to illustrative memes about the 2023 East Palestine, Ohio train derailment (e.g., the G.W. Bush/9/11 template and a Bill Murray meme).
- DRE3 three-tier model: Instrumental, Rhetorical, and Hidden layers — Proposes a layered architecture moving from observed meme entities to extracted claims to inferred public narratives.
- Ecological concepts transposed to memetic claims — Uses life history, niche succession, and complex interactions from ecology to frame research questions about how memetic claims emerge, change and interact.
- Fuzzy set formalism for multi-analyst claim annotation — Proposes representing entity and claim annotations as fuzzy membership assertions so that disagreement between analysts becomes data rather than noise.
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