{"id":"W4414510444","doi":"10.1287/isre.2024.1140","title":"Content Moderation with Shadowbanning","year":2025,"lang":"en","type":"article","venue":"Information Systems Research","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Moderation; User-generated content; User engagement; Content (measure theory); Social media; Perception; Content creation; Welfare","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":[0.007858012,0.0008706462,0.0005046016,0.0006800785,0.001325194,0.002404032,0.000845776,0.001021901,0.008778868],"category_scores_gemma":[0.05575141,0.0003475926,0.0005711591,0.0004487479,0.00268341,0.003702916,0.003192313,0.00160039,0.0008467626],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00100019,"about_ca_system_score_gemma":0.001112563,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009977763,"about_ca_topic_score_gemma":0.001434576,"domain_scores_codex":[0.9946883,0.002884654,0.0001957582,0.000883324,0.0008890264,0.0004588823],"domain_scores_gemma":[0.9091527,0.06838631,0.01014941,0.008385496,0.002422153,0.001503845],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.008212755,0.004239604,0.3197319,0.003707359,0.0009633304,0.001099985,0.03424517,0.02079969,0.1255846,0.09131023,0.007382644,0.3827228],"study_design_scores_gemma":[0.001287165,0.01080098,0.4746403,0.001136527,0.002249698,0.0009117469,0.01658201,0.104197,0.1293291,0.1828879,0.07539411,0.0005834868],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9391645,0.0003791463,0.03341323,0.001182386,0.0001331148,0.0003196036,0.0001461854,0.000532989,0.02472888],"genre_scores_gemma":[0.9933985,0.00005544333,0.00495892,0.0001803919,0.00003721565,0.000127688,0.00003588133,0.00004717375,0.00115873],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008778868,"threshold_uncertainty_score":0.04155761,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0834027796304613,"score_gpt":0.3314380212526719,"score_spread":0.2480352416222106,"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."}}