{"id":"W3025636516","doi":"10.2196/19447","title":"Global Sentiments Surrounding the COVID-19 Pandemic on Twitter: Analysis of Twitter Trends","year":2020,"lang":"en","type":"article","venue":"JMIR Public Health and Surveillance","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":472,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Medical Research Council; Medical Research Council; Agency for Science, Technology and Research","keywords":"Anger; Sadness; Gratitude; Pandemic; Public health; Psychology; Government (linguistics); Social media; Xenophobia; Health communication; Public opinion; Social psychology; Political science; Public relations; Sociology; Coronavirus disease 2019 (COVID-19); Medicine; Disease; Racism; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.151327565391954,"score_gpt":0.4204540639072858,"score_spread":0.2691264985153319,"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."}}