{"id":"W4410449603","doi":"10.1017/cfl.2025.5","title":"Meta’s AI moderation and free speech: Ongoing challenges in the Global South","year":2025,"lang":"en","type":"article","venue":"Cambridge Forum on AI Law and Governance","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Moderation; Free speech; Psychology; Cognitive psychology; Computer science; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002690872,0.0001457725,0.0001716617,0.00002015466,0.0001948861,0.0002495546,0.0003372437,0.00006616877,5.47194e-7],"category_scores_gemma":[0.00003245378,0.000107531,0.00004713986,0.0001726502,0.00005071256,0.0003803922,0.0001377217,0.0001707087,0.000004072851],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004766795,"about_ca_system_score_gemma":0.0000357366,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003489522,"about_ca_topic_score_gemma":0.001381959,"domain_scores_codex":[0.9989596,0.00006254439,0.0001483979,0.0003824534,0.0002072535,0.0002397761],"domain_scores_gemma":[0.9994011,0.00004194954,0.00006051851,0.0004326264,0.00002721466,0.00003661092],"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":[0.00001401443,0.0000205758,0.0001581876,0.00001732832,0.00002861918,0.00001198316,0.0001269223,0.00002680286,0.00001479006,0.9765474,0.001273398,0.02176001],"study_design_scores_gemma":[0.007682202,0.001642956,0.1541235,0.0008546634,0.000449304,0.0003811958,0.001033657,0.1265222,0.01372377,0.1733117,0.5180254,0.002249491],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2192556,0.04840388,0.1746717,0.3341914,0.002074676,0.001713334,0.0002105424,0.0005067497,0.2189721],"genre_scores_gemma":[0.9865891,0.0008235149,0.0004836439,0.01173196,0.00003357262,0.00002208285,9.173987e-7,0.000003855468,0.0003113674],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8032357,"threshold_uncertainty_score":0.4384988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02471794484472745,"score_gpt":0.2437754124620853,"score_spread":0.2190574676173578,"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."}}