{"id":"W4408800633","doi":"10.69554/tdhs1278","title":"Social media as a compliance risk for financial services: Exploring emerging risks and finding solutions to mitigate harm","year":2025,"lang":"en","type":"article","venue":"Journal of financial compliance.","topic":"Cybercrime and Law Enforcement Studies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Global Relay (Canada)","funders":"","keywords":"Harm; Compliance (psychology); Business; Social media; Financial risk; Financial services; Risk analysis (engineering); Actuarial science; Finance; Psychology; Political science; Social psychology; Law","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":[0.01436014,0.0006894932,0.0005339233,0.005622395,0.00853018,0.01693977,0.001641282,0.007195998,0.004286413],"category_scores_gemma":[0.03578075,0.0004906731,0.0008477705,0.003735245,0.01838453,0.0253548,0.006847863,0.008442169,0.0004081625],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.006265154,"about_ca_system_score_gemma":0.01017225,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008028405,"about_ca_topic_score_gemma":0.01021357,"domain_scores_codex":[0.9817083,0.01032518,0.0005363398,0.0008892,0.005152659,0.001388278],"domain_scores_gemma":[0.9265026,0.05273371,0.009861655,0.002098515,0.006789824,0.00201382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001256674,0.0005779362,0.06215341,0.001205932,0.00009846457,0.002086379,0.1074982,0.001458483,0.001089806,0.5798103,0.02123064,0.2226649],"study_design_scores_gemma":[0.00004284195,0.0004393262,0.0371322,0.009200865,0.0001521857,0.002568372,0.3649379,0.0114216,0.002073283,0.3705443,0.2012053,0.000281916],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2545514,0.01984538,0.03170176,0.5392209,0.0008797867,0.0003526037,0.0001509747,0.0002106981,0.1530866],"genre_scores_gemma":[0.9582621,0.01302296,0.006878984,0.01653261,0.0006430672,0.000157797,0.00005375429,0.00004487293,0.004403914],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01693977,"threshold_uncertainty_score":0.0759446,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.195802359529271,"score_gpt":0.3623492217605147,"score_spread":0.1665468622312437,"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."}}