{"id":"W3137327620","doi":"10.1111/acfi.12780","title":"Do social media constrain or promote company violations?","year":2021,"lang":"en","type":"article","venue":"Accounting and Finance","topic":"Auditing, Earnings Management, Governance","field":"Business, Management and Accounting","cited_by":30,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Manitoba","funders":"National Natural Science Foundation of China","keywords":"Social media; Robustness (evolution); Stock (firearms); Media coverage; Sample (material); Business; Social pressure; Economics; Marketing; Psychology; Social psychology; Computer science; Engineering; Sociology","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":[0.001589672,0.0001600402,0.0002206913,0.001836961,0.0005275609,0.00304328,0.0003402282,0.0008149563,0.006398753],"category_scores_gemma":[0.01847503,0.0001519097,0.0002523554,0.001512311,0.0007995585,0.002011459,0.001249065,0.001053973,0.0004118251],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005936006,"about_ca_system_score_gemma":0.0005285466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00428855,"about_ca_topic_score_gemma":0.007015249,"domain_scores_codex":[0.9980972,0.000796795,0.0001558581,0.0002064556,0.0004277076,0.0003159172],"domain_scores_gemma":[0.9493616,0.01879181,0.02679831,0.001120418,0.001611356,0.00231662],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001554864,0.0002654472,0.9832253,0.00006496056,0.00008259546,0.0001371038,0.00191679,0.00009257719,0.0002871289,0.0006938202,0.0006064251,0.01247229],"study_design_scores_gemma":[0.000006226098,0.00006375305,0.9921067,0.00006108496,0.00002878877,0.0000582769,0.005285218,0.0003456965,0.0001815208,0.0002996436,0.001554228,0.000008921595],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9932776,0.0001945839,0.00007691984,0.0006423511,0.00001814999,0.000009806755,0.0001777574,0.000003709312,0.005599158],"genre_scores_gemma":[0.9994499,0.00008567591,0.00002643166,0.00005570351,0.00002914412,0.000004303081,0.00006308538,0.000001788243,0.0002839656],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006398753,"threshold_uncertainty_score":0.02140599,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01652575762961279,"score_gpt":0.2261498231556612,"score_spread":0.2096240655260484,"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."}}