{"id":"W4390661940","doi":"10.51685/jqd.2024.003","title":"Proud Boys on Telegram","year":2024,"lang":"en","type":"article","venue":"Journal of Quantitative Description Digital Media","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Moonshot Research and Development Program; George Washington University; John S. and James L. Knight Foundation","keywords":"Misinformation; Social media; Opposition (politics); Social connectedness; Media studies; Exploratory analysis; Feminism; Political science; Sociology; Criminology; Law; Psychology; Social psychology; Computer science","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.0006056149,0.0002853438,0.0002754056,0.002709743,0.001110229,0.001815662,0.0004492302,0.000478612,0.008746183],"category_scores_gemma":[0.004347675,0.0001783218,0.000185192,0.003165123,0.0006176467,0.001751268,0.001915524,0.0007395698,0.001902863],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005848316,"about_ca_system_score_gemma":0.0003987987,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006593893,"about_ca_topic_score_gemma":0.01181614,"domain_scores_codex":[0.9988688,0.0002769007,0.00006156992,0.0001770455,0.0003578218,0.000257875],"domain_scores_gemma":[0.9939392,0.001916204,0.002106311,0.0004550443,0.0008231035,0.000760086],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003170227,0.0001397571,0.8964818,0.000274698,0.00004866701,0.000624861,0.03450261,0.0002695771,0.001627379,0.003435227,0.01898496,0.04329341],"study_design_scores_gemma":[0.000008178999,0.00007471823,0.9302917,0.00008307044,0.00001693035,0.0003599067,0.03414442,0.0005102779,0.0005909264,0.0003184804,0.03357741,0.00002392568],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796786,0.000125377,0.0003498337,0.0002666437,0.00002939184,0.00005693297,0.00820369,0.00003430138,0.01125511],"genre_scores_gemma":[0.9857013,0.0002297012,0.0007463367,0.0001205281,0.00006790757,0.0001993586,0.006569255,0.00003416037,0.006331345],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008746183,"threshold_uncertainty_score":0.02925885,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04361547790318788,"score_gpt":0.2802967062682623,"score_spread":0.2366812283650744,"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."}}