Table S1 - Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
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.
- Teacher spread
- 0.136 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
<p>SQL Queries for Automated Tweet Coding & Analysis. SQL syntax for search patterns and keywords used by Infovigil for automated tweet coding and analysis.</p> <p>(0.14 MB PDF)</p>
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
The record
- Venue
- Figshare
- Topic
- Misinformation and Its Impacts
- Field
- Social Sciences
- Canadian institutions
- University of TorontoUniversity Health Network
- Funders
- —
- Keywords
- MisinformationSocial mediaPandemicContent analysisPublic healthCoding (social sciences)NewspaperMicrobloggingGovernment (linguistics)Sentiment analysisCoronavirus disease 2019 (COVID-19)MedicineInternet privacyComputer scienceAdvertisingWorld Wide WebStatisticsArtificial intelligenceBusinessComputer security
- Has abstract in OpenAlex
- yes