{"id":"W2022783018","doi":"10.1371/journal.pone.0014118.s001","title":"Table S1 - Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak","year":2015,"lang":"en","type":"article","venue":"Figshare","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1633,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto; University Health Network","funders":"","keywords":"Misinformation; Social media; Pandemic; Content analysis; Public health; Coding (social sciences); Newspaper; Microblogging; Government (linguistics); Sentiment analysis; Coronavirus disease 2019 (COVID-19); Medicine; Internet privacy; Computer science; Advertising; World Wide Web; Statistics; Artificial intelligence; Business; Computer security","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2103220274021646,"score_gpt":0.3463498271366957,"score_spread":0.1360277997345311,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}