{"id":"W4394931697","doi":"10.55041/ijsrem31109","title":"AUTOMATED HATE SPEECH DETECTION USING RECURRENT NEURAL NETWORK","year":2024,"lang":"en","type":"article","venue":"INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Trinity College","funders":"","keywords":"Computer science; Contempt; Artificial intelligence; Variety (cybernetics); Machine learning; Artificial neural network; Convolutional neural network; Psychology","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.003458593,0.00008856934,0.0001051323,0.001333775,0.0001370747,0.001109528,0.0003186084,0.00002992037,0.000003159939],"category_scores_gemma":[0.00002073581,0.00007798438,0.0000611538,0.001469738,0.00004945497,0.0005898693,0.0001762895,0.0003959088,0.000007358562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001469281,"about_ca_system_score_gemma":0.00002404733,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000008344757,"about_ca_topic_score_gemma":0.000003087868,"domain_scores_codex":[0.9982976,0.00008331319,0.00033376,0.0002584954,0.0006906374,0.0003361964],"domain_scores_gemma":[0.9995127,0.00007199172,0.00003828342,0.0001283665,0.0001581867,0.00009045667],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00004666069,0.00008549338,0.00004484823,0.0006924478,0.0001443993,0.001807006,0.0002960989,0.3330042,0.0159217,0.01032191,0.001226337,0.6364089],"study_design_scores_gemma":[0.0001405161,0.00007665259,0.0005704064,0.0009993428,0.000004244662,0.0003935374,0.00001784003,0.9902644,0.0008471707,0.0006738121,0.00593637,0.00007575389],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7568819,0.00154697,0.2320236,0.0005011198,0.008507552,0.0002200748,9.412078e-7,0.0001844352,0.0001334072],"genre_scores_gemma":[0.9879885,0.0001410086,0.01159502,0.000003788492,0.0001595071,0.000003614998,5.203216e-7,0.000007217812,0.0001008578],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6572602,"threshold_uncertainty_score":0.9999274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04085124903706826,"score_gpt":0.3260161391499977,"score_spread":0.2851648901129294,"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."}}