{"id":"W4408044364","doi":"10.1016/j.aos.2024.101588","title":"Shaping collective action in financial markets through popular expertise: An analysis of Due Diligence posts on WallStreetBets","year":2025,"lang":"en","type":"article","venue":"Accounting Organizations and Society","topic":"FinTech, Crowdfunding, Digital Finance","field":"Business, Management and Accounting","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"European Accounting Association; Centre National de la Recherche Scientifique; Alliance Manchester Business School, University of Manchester; Labex Ecodec; Fondation HEC; Tel Aviv University; Labex; Agence Nationale de la Recherche; King's College London; Université du Québec à Montréal","keywords":"Due diligence; Collective action; Business; Action (physics); Diligence; Accounting; Financial system; Finance; Political science; Psychology; Law; Social psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.002160772,0.0002608394,0.0002347196,0.003192598,0.00433232,0.004706983,0.0006220416,0.001055238,0.00491934],"category_scores_gemma":[0.01227377,0.0001750719,0.0001368709,0.002420835,0.004112686,0.0052274,0.003263165,0.001212513,0.0006665514],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002136371,"about_ca_system_score_gemma":0.001125199,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006240295,"about_ca_topic_score_gemma":0.01603264,"domain_scores_codex":[0.9981501,0.0008114325,0.00006911095,0.0002020385,0.0003768624,0.0003904662],"domain_scores_gemma":[0.9888749,0.007380868,0.001775454,0.0003054693,0.0008015682,0.0008617296],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00006449494,0.00006166758,0.03602912,0.0001548428,0.00001131257,0.00157778,0.9247977,0.00007067108,0.002079867,0.00788008,0.0031387,0.02413366],"study_design_scores_gemma":[0.000006928119,0.00004029916,0.07544283,0.0001497761,0.00001011084,0.0003226241,0.8730034,0.0004701254,0.0006150372,0.001886635,0.04802048,0.00003174783],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796129,0.000204575,0.0005747065,0.001155711,0.00003664262,0.00002512257,0.0001163471,0.00001253382,0.01826133],"genre_scores_gemma":[0.995466,0.0001593188,0.0003543762,0.0002231177,0.00003764026,0.00003009501,0.00009171675,0.00002528229,0.003612458],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006240295,"threshold_uncertainty_score":0.01645684,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01737768596323931,"score_gpt":0.2653332236267277,"score_spread":0.2479555376634884,"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."}}