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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Misinformation and Its Impacts
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

1,959 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
1,959 works in the cohort · of 4,299,418page 12 of 40

Labels cover 16 of 1,959 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 1,959 of 1,959 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
Networked Influence: An Introduction
Jenna Jacobson, Anatoliy Gruzd, Priya Kumar
2019· article· en· Social Media + Society· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
11
citations
venueno affunlabeled
Deadly Disinformation
Sophia Moskalenko, Ekaterina Romanova
2022· article· en· The Journal of Intelligence Conflict and Warfare· Social Sciences
distilled prediction:candidate · noneconsensus · none
11
citations
affunlabeled
The battle between fake news and science
Luke Harper, Katherine W. Herbst, Darius Bägli, Martin Kaefer, Goedele M.A. Beckers, Magdalena Fossum +1 more
2019· article· en· Journal of Pediatric Urology· Social Sciences
distilled prediction:candidate · noneconsensus · none
10
citations
afffundunlabeled
Intuition, reason, and conspiracy beliefs
Jabin Binnendyk, Gordon Pennycook
2022· preprint· en· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
10
citations
affno abstractunlabeled
Categorizing Memes About the Ukraine Conflict
Keyu Chen, Ashley Feng, Rohan Aanegola, Koustuv Saha, Allie Wong, Zach Schwitzky +6 more
2023· book-chapter· en· Lecture notes in computer science· Social Sciences
distilled prediction:candidate · noneconsensus · none
10
citations
venueno affunlabeled
Good and Bad Reasoning about COVID-19
Louise Cummings
2020· article· en· Informal Logic· Social Sciences
distilled prediction:candidate · noneconsensus · none
10
citations
affunlabeled
(Mis)information, information literacy, and democracy
Pascal Lupien, Lorna Rourke
2021· article· en· Journal of Information Literacy· Social Sciences
distilled prediction:candidate · scholarly_communicationconsensus · scholarly_communication
9
citations
venueno affunlabeled
Argumentative Bullshit
José Ángel Gascón
2021· article· en· Informal Logic· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · insufficient_payload
9
citations
affno abstractunlabeled
Conspiracy: A Dramaturgical Explanation
Mark N. Wexler, Grant Havers
2002· article· en· International Journal of Group Tensions· Social Sciences
distilled prediction:candidate · insufficient_payloadconsensus · none
9
citations

How this was built: Screen · Findings · About