{"id":"W2905486807","doi":"10.4000/books.aaccademia.4772","title":"Comparing Different Supervised Approaches to Hate Speech Detection","year":2018,"lang":"en","type":"book-chapter","venue":"Accademia University Press eBooks","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"National Research Council Canada; Università degli Studi di Napoli Federico II","keywords":"Task (project management); Computer science; Artificial neural network; Domain (mathematical analysis); Voice activity detection; Artificial intelligence; Speech recognition; Machine learning; Natural language processing; Speech processing; Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.006748725,0.002883791,0.001642286,0.003262408,0.001286076,0.002057487,0.002496785,0.002297914,0.003257411],"category_scores_gemma":[0.0142482,0.0005900293,0.00141106,0.001706215,0.0007769265,0.003337998,0.00258898,0.002137394,0.005046386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001280806,"about_ca_system_score_gemma":0.001567876,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008830061,"about_ca_topic_score_gemma":0.01641528,"domain_scores_codex":[0.9924985,0.003404962,0.0004248414,0.001987717,0.001182185,0.0005018221],"domain_scores_gemma":[0.9844148,0.009313414,0.0004391433,0.002134777,0.003244169,0.0004537214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.002491933,0.002186002,0.02246517,0.001648719,0.001683314,0.0002407646,0.0007481126,0.06586712,0.006715923,0.001840565,0.035547,0.8585654],"study_design_scores_gemma":[0.0002332089,0.001099956,0.01467112,0.0001878375,0.0004850258,0.0004006028,0.001086089,0.9453628,0.02002245,0.006036852,0.01027536,0.0001386801],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.574508,0.01812904,0.3293506,0.001631465,0.002327262,0.001258312,0.007663375,0.02811456,0.03701742],"genre_scores_gemma":[0.8105252,0.00232753,0.1392075,0.0005691539,0.0006877175,0.0005165563,0.02590233,0.001393892,0.01887003],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008830061,"threshold_uncertainty_score":0.03569108,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1020790219884133,"score_gpt":0.2065167155168339,"score_spread":0.1044376935284206,"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."}}