{"id":"W4407369057","doi":"10.2139/ssrn.5131194","title":"Don't Stop the Presses! Online News Coverage and Financial Markets","year":2025,"lang":"en","type":"preprint","venue":"SSRN Electronic Journal","topic":"Media Influence and Politics","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université Laval","funders":"","keywords":"Business; Financial market; Financial system; Advertising; Finance; Economics","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":[0.001801849,0.0002513161,0.000416532,0.001989943,0.001452564,0.007820842,0.0004132566,0.002735117,0.06140548],"category_scores_gemma":[0.02621342,0.0002267327,0.0001871509,0.003534882,0.001879534,0.01181261,0.001305541,0.002517977,0.008527031],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008587165,"about_ca_system_score_gemma":0.0006164197,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004261309,"about_ca_topic_score_gemma":0.00575269,"domain_scores_codex":[0.9990728,0.0002927186,0.00003149651,0.0001115565,0.0003314602,0.000159983],"domain_scores_gemma":[0.9839766,0.009631284,0.00279813,0.0005222384,0.001358906,0.001712779],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.0005495835,0.0002976582,0.05205963,0.000502918,0.000160394,0.0003411228,0.004637191,0.0004079397,0.001001884,0.2162413,0.5423161,0.1814842],"study_design_scores_gemma":[0.0001743029,0.0001798286,0.1452817,0.001036089,0.000214708,0.0004490133,0.01104758,0.001453981,0.001454725,0.14398,0.6946149,0.0001129981],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1219548,0.02868347,0.001522026,0.3585078,0.00364428,0.00002304661,0.002571167,0.0002627753,0.4828306],"genre_scores_gemma":[0.8715521,0.01364615,0.0005633479,0.02183216,0.007029548,0.00003748859,0.0005970239,0.0003370426,0.08440522],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.06140548,"threshold_uncertainty_score":0.2054218,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01302348828449522,"score_gpt":0.3064198042100272,"score_spread":0.2933963159255319,"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."}}