{"id":"W3204600076","doi":"10.33972/jhs.188","title":"Making Hate Visible: Online Hate Incident Reporting Tools","year":2021,"lang":"en","type":"article","venue":"Journal of Hate Studies","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Hate crime; Government (linguistics); Law enforcement; Political science; Social media; Equity (law); Economic Justice; Public relations; Criminology; Law; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.00876962,0.001207654,0.000522831,0.006617431,0.001046542,0.0046055,0.002082172,0.001298262,0.01266301],"category_scores_gemma":[0.04140928,0.0006217246,0.0005367929,0.002730686,0.0005140675,0.008473913,0.004723513,0.001443247,0.007065006],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006946867,"about_ca_system_score_gemma":0.001538946,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002638506,"about_ca_topic_score_gemma":0.004157797,"domain_scores_codex":[0.9937574,0.002700042,0.0006399065,0.000656685,0.001826838,0.0004190974],"domain_scores_gemma":[0.940922,0.03415599,0.006980218,0.007832129,0.007711134,0.002398473],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0006062271,0.001060341,0.02406739,0.001292646,0.0000958683,0.0008856456,0.01358494,0.001032359,0.005395416,0.007161234,0.1937835,0.7510344],"study_design_scores_gemma":[0.0003034404,0.0007491451,0.05680359,0.002461767,0.0002450382,0.001702352,0.0165481,0.03501224,0.02324997,0.02601612,0.8359149,0.0009933793],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.190464,0.00198063,0.3773047,0.01141046,0.002517047,0.006819906,0.03381735,0.2129748,0.162711],"genre_scores_gemma":[0.3895301,0.001951498,0.5334734,0.002428117,0.001243324,0.004582432,0.01989791,0.005379124,0.04151417],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01266301,"threshold_uncertainty_score":0.04637873,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1114222928534636,"score_gpt":0.3644636955617016,"score_spread":0.2530414027082379,"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."}}