Data
All data derived from the study, in open formats. They do not contain the text of the drops, which is available in the source dataset.
| File | Contents | Size |
|---|---|---|
drops_metadata.csv | Metadata of each drop (no text): #, UTC date, author, site, board, words, images, references, link, question. | 261 Ko |
drops_weekly.csv | Drops per week (New York time). | 3 Ko |
trump_tests.csv | Q / Trump tweet tests: windows, direction, null model, observed, expected, p. | 3 Ko |
topics.csv | Themes (NMF): rank, share, terms, typical drops. | 2 Ko |
topics_monthly.csv | Monthly weight of each theme. | 8 Ko |
glossary_counts.csv | Glossary formulas: number of drops, first occurrence. | 2 Ko |
style_monthly.csv | Monthly style indicators. | 2 Ko |
actors.csv | Named actors: category, number of drops, first and last mention. | 29 Ko |
actors_monthly.csv | Monthly mentions per actor. | 33 Ko |
actors_pairs.csv | Actor co-mentions (≥ 5 drops) and NPMI. | 7 Ko |
news_actors.csv | Actors: Q versus GDELT (over-representation, correlations, Granger). | 2 Ko |
news_countries.csv | Countries: Q mentions and GDELT events. | 2 Ko |
predictions.csv | Predictions extracted from each drop (paraphrase, type, deadline, targets) — automatic annotation. | 139 Ko |
verification.csv | Prediction-by-prediction verification: verdict, horizon, triviality, explanation, sources. | 189 Ko |
verification-README.md | Verification protocol (verdicts, horizon, quotes, correction history). | 2 Ko |
regimes.csv | Activity regimes (breaks in weekly volume) and nearest event. | 0 Ko |
boards.csv | Indicators per board (platform). | 1 Ko |
cited_sites.csv | Sites linked in drops (number of drops, type of site). | 1 Ko |
lexicon_quarterly.csv | Per quarter: readability (Flesch), MATTR, religious vocabulary, verses. | 1 Ko |
wikipedia_weekly.csv | Weekly Wikipedia page views per article. | 117 Ko |
timeline.yaml | Editorial source: timeline.yaml (versioned in the repository). | 14 Ko |
actors.yaml | Editorial source: actors.yaml (versioned in the repository). | 50 Ko |
glossary.yaml | Editorial source: glossary.yaml (versioned in the repository). | 25 Ko |
bibliography.yaml | Editorial source: bibliography.yaml (versioned in the repository). | 341 Ko |
bibliography.bib | Bibliography in BibTeX format. | 136 Ko |
bibliography.json | Bibliography in CSL-JSON (Zotero, Pandoc). | 192 Ko |
geffroy-2026-qanon-drops-de-q-epreuve-des-faits.tex | Working paper in LaTeX (biblatex, with bibliography.bib). | 46 Ko |
geffroy-2026-qanon-drops-de-q-epreuve-des-faits-latex.zip | Working paper, complete LaTeX version: source, bibliography, PDF figures. | 125 Ko |
gold.jsonl | Reference annotation set (predictions), 150 drops. | 35 Ko |
gold_guidelines.md | Annotation guidelines of the reference set (French). | 6 Ko |
corpus.json | Full corpus for the explorer: text of each drop, date (New York), board, actors, predictions and verdicts. | 1.4 Mo |
figures.csv | Key figures (FR and EN), with their citable address. | 11 Ko |
results/*.json | Raw results of each analysis. | 1.7 Mo |
Licence
Texts, charts, editorial data and derived data are under the Creative Commons Attribution 4.0 International licence (CC BY 4.0). You may reuse them, including commercially, provided you credit the author and the source and indicate changes. The code is under the MIT licence. Source datasets (drops, tweets, GDELT, Wikimedia) remain subject to their own terms.