Weaponized iconoclasm in Internet memes featuring the expression ‘Fake News’
Bibliographic record
Abstract
The expression ‘Fake News’ inside Internet memes engenders significant online virulence, possibly heralding an iconoclastic emergence of weaponized propaganda for assaulting agencies reared on public trust. Internet memes are multimodal artifacts featuring ideological singularities designed for ‘flash’ consumption, often composed by numerous voices echoing popular, online culture. This study proposes that ‘Fake News’ Internet memes are weaponized iconoclastic multimodal propaganda (WIMP) discourse and attempts to delineate them as such by asking: What power relations and ideologies do Internet memes featuring the expression ‘fake news’ harbor? How might those manifestations qualify as WIMP discourse? A multimodal critical discourse analysis of a small pool of ‘fake news’ Internet memes drawn from four popular social media websites revealed what agencies were often targeted and from what political canons they likely emerged. Findings indicate that many Internet memes featuring ‘fake news’ are specifically directed, revealing an underlying hazard that WIMP discourse could diminish democratic processes while influencing online trajectories of public discourse.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.003 | 0.009 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".