{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005130864,0.0001479036,0.0001586513,0.0001568608,0.001027554,0.0004565877,0.0001466874,0.00003343157,0.0000308304],"category_scores_gemma":[0.001599197,0.000170155,0.00002644276,0.0004497625,0.00005545982,0.002562989,0.0004910577,0.0002130551,0.0000275195],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003450864,"about_ca_system_score_gemma":0.000008163383,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001419347,"about_ca_topic_score_gemma":0.00002254355,"domain_scores_codex":[0.9989542,0.000008850432,0.0002525787,0.0002282207,0.0003130984,0.0002430959],"domain_scores_gemma":[0.9936267,0.00005941409,0.006142826,0.00009119813,0.00007546097,0.000004452377],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0000326897,0.0000209795,0.09916005,0.0001547669,0.00001336852,0.000006801804,0.001547305,0.0001743276,0.0000896239,0.06543476,0.02014258,0.8132228],"study_design_scores_gemma":[0.0005161247,0.000007067747,0.3203942,0.00004940004,0.00003745632,0.000004397492,0.001602079,0.007275002,0.000007953896,0.004730364,0.664974,0.0004018582],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9871286,0.0001296871,0.005847169,0.001136524,0.0003250034,0.0001574795,0.000006875598,0.0001186685,0.005150038],"genre_scores_gemma":[0.9980153,0.00006612058,0.0001167006,0.0009258037,0.0005220918,0.00004029705,0.00006128786,0.00001669111,0.000235718],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8128209,"threshold_uncertainty_score":0.7903217,"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."}}