{"id":"W4281682275","doi":"10.1111/acfi.12959","title":"Social media information dissemination and corporate bad news hoarding","year":2022,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":31,"is_retracted":false,"has_abstract":true,"ca_institutions":"Optech (Canada)","funders":"National Office for Philosophy and Social Sciences","keywords":"Hoarding (animal behavior); Corporate governance; Business; Social media; Stock (firearms); Crash; Stock price; Accounting; Actuarial science; Economics; Finance; Political science","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":[0.001475782,0.0002679788,0.0002229578,0.001770001,0.0004262485,0.001951329,0.0002660925,0.000622991,0.004117876],"category_scores_gemma":[0.01449521,0.0001025935,0.0002593135,0.001087012,0.0005096709,0.001277722,0.0009864194,0.0008305669,0.0003756188],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005160909,"about_ca_system_score_gemma":0.0003877978,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003920972,"about_ca_topic_score_gemma":0.004337843,"domain_scores_codex":[0.9989379,0.0003468606,0.00008840211,0.0001213091,0.0003205765,0.0001849498],"domain_scores_gemma":[0.9694878,0.009102006,0.01683185,0.001049054,0.002289786,0.001239407],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003428235,0.0003401248,0.9250179,0.0002472616,0.0003131942,0.0003549633,0.001717161,0.0006813706,0.001823067,0.001785795,0.003215326,0.06416103],"study_design_scores_gemma":[0.00001834243,0.0002238248,0.986791,0.0001372126,0.0002363743,0.0001454671,0.002525954,0.002529966,0.00130793,0.0009747955,0.005082573,0.00002649847],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.987398,0.001515535,0.0005155507,0.001592026,0.00006373296,0.00003439792,0.0004444479,0.00003587373,0.008400348],"genre_scores_gemma":[0.9988973,0.0002535506,0.00008990275,0.00007974831,0.00008141836,0.000004984112,0.00008911937,0.000002136635,0.0005017904],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004117876,"threshold_uncertainty_score":0.01377565,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.009226086105191158,"score_gpt":0.2007133392874755,"score_spread":0.1914872531822843,"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."}}