“Pepe the frog, the greedy merchant and #stopthesteal”: A comparative study of discursive and memetic communication on Twitter and 4chan/pol during the insurrection on the US Capitol
Bibliographic record
Abstract
Following the January 6 insurrection on the US Capitol, we sought to explore how two social media platforms were being used concurrently to disseminate far-right memes and discourse. Our study employs a mixed-methods approach to collect a large data set of images from 4chan/pol/ and using the “#stopthesteal” hashtag on Twitter between 1 January 2021 and 13 January 2021. Our findings reveal how each platform influenced the usage of memes toward identity building and far-right activism in the days leading up to and immediately after the insurrection. Our findings reveal that Twitter was used to mobilize users leading up to January 6 but led to in-fighting among the pro-Trump crowd in the days after. Meanwhile 4chan/pol users took advantage of the Overton window of the Insurrection to disseminate far-right ideology and attempt to recruit and radicalize disgruntled Trump supporters after the insurrection was deemed a failure.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".