{"id":"W3178189564","doi":"10.1016/j.jbef.2021.100542","title":"Sentiment and hype of business media topics and stock market returns during the COVID-19 pandemic","year":2021,"lang":"en","type":"article","venue":"Journal of Behavioral and Experimental Finance","topic":"COVID-19 Pandemic Impacts","field":"Economics, Econometrics and Finance","cited_by":32,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"","keywords":"Stock market; Coronavirus disease 2019 (COVID-19); Sentiment analysis; Pandemic; Stock (firearms); Financial economics; Economics; Analytics; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Debt; Business; Econometrics; Data science; Finance; History; Computer science; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001467442,0.0001682539,0.0002301786,0.0007866956,0.0005920578,0.002174328,0.000260117,0.001140278,0.004943487],"category_scores_gemma":[0.01804666,0.0001592824,0.0001953742,0.0008119186,0.0005788339,0.00152606,0.001332166,0.002037276,0.0007491737],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006288424,"about_ca_system_score_gemma":0.0003453469,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01031395,"about_ca_topic_score_gemma":0.01461084,"domain_scores_codex":[0.9994683,0.0001301197,0.00004107727,0.00005439909,0.000138573,0.0001676024],"domain_scores_gemma":[0.9856926,0.004070593,0.006065622,0.0003948199,0.001584942,0.002191361],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000862524,0.0004558618,0.9682192,0.0000545918,0.00009621073,0.0002592609,0.003861338,0.0003907842,0.001357815,0.001255112,0.007402995,0.01578438],"study_design_scores_gemma":[0.000008873088,0.0001155544,0.9939697,0.0000240118,0.00001829364,0.00005077033,0.002963339,0.0005085351,0.0001505,0.0002121827,0.001964901,0.00001336048],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9899845,0.0002606066,0.00004838207,0.003024664,0.00008988192,0.00001363649,0.0007656757,0.000006598337,0.005805986],"genre_scores_gemma":[0.9983285,0.0001582613,0.00002411273,0.0002818594,0.0001764607,0.000008580546,0.000360779,0.000005730356,0.0006557185],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01031395,"threshold_uncertainty_score":0.02050787,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07142731941239405,"score_gpt":0.3058602196824319,"score_spread":0.2344329002700378,"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."}}