{"id":"W2955561636","doi":"10.1609/icwsm.v13i01.3264","title":"From “Welcome New Gabbers” to the Pittsburgh Synagogue Shooting: The Evolution of Gab","year":2019,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":36,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Moderation; Safe haven; Social media; Judaism; Haven; Sociology; History; Computer science; Psychology; World Wide Web; Social psychology; Mathematics; Archaeology","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":[0.0017727,0.0002149142,0.0002358615,0.002156927,0.004324187,0.004767464,0.0004539689,0.0008292356,0.004935528],"category_scores_gemma":[0.008402538,0.0002738026,0.0001183707,0.001429869,0.004949167,0.004007064,0.003130007,0.001798695,0.000945112],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002072588,"about_ca_system_score_gemma":0.001023353,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02463741,"about_ca_topic_score_gemma":0.07694913,"domain_scores_codex":[0.999209,0.0003148019,0.00002307591,0.0001344654,0.0001739088,0.0001448176],"domain_scores_gemma":[0.9959632,0.001401354,0.00072446,0.0003647606,0.0006750115,0.0008713382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0004604639,0.00009879633,0.2257079,0.0002067339,0.00004248626,0.002484996,0.6147406,0.0002157906,0.005572679,0.02000574,0.01501891,0.1154449],"study_design_scores_gemma":[0.00001293333,0.0001454896,0.4342483,0.000272795,0.00002793644,0.001545401,0.3848594,0.0006615729,0.002046542,0.003754324,0.1723482,0.00007707941],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752524,0.0007830802,0.0007192643,0.002255997,0.00007683469,0.00002332499,0.0002616347,0.0000669118,0.02056058],"genre_scores_gemma":[0.9958241,0.0002381742,0.0003438387,0.0002638712,0.00001968737,0.000006073401,0.0001029279,0.00004721179,0.003154109],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02463741,"threshold_uncertainty_score":0.04898798,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01692607930520725,"score_gpt":0.225894551813122,"score_spread":0.2089684725079148,"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."}}