{"id":"W4321437518","doi":"10.1007/s11245-023-09898-2","title":"A Spoonful of Sugar Makes the Hate Speech Go Down: Sugar-Coating in White Nationalist Recruitment Speech","year":2023,"lang":"en","type":"article","venue":"Topoi","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":17,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Waterloo","funders":"","keywords":"Nationalism; White (mutation); Sugar; Utterance; Rhetoric; Coating; Linguistics; Aesthetics; Psychology; Sociology; Art; Food science; Philosophy; Political science; Chemistry; Politics; Law; Biochemistry","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":[0.001014324,0.0002077127,0.0001945735,0.000462561,0.002616782,0.002095033,0.0003688077,0.001224765,0.005242996],"category_scores_gemma":[0.006263883,0.0001990859,0.00009942787,0.0004774343,0.001012713,0.001277269,0.001303374,0.001695994,0.001858753],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009247485,"about_ca_system_score_gemma":0.000878347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.02068741,"about_ca_topic_score_gemma":0.04815779,"domain_scores_codex":[0.9992433,0.0002444141,0.00002606314,0.00009213012,0.0002292348,0.0001649265],"domain_scores_gemma":[0.9975815,0.0009510716,0.0003945322,0.0001239378,0.000473357,0.0004755655],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.001019868,0.001241034,0.4941262,0.0002172816,0.00006057532,0.003700961,0.2740469,0.0002966032,0.01868207,0.01051428,0.05995245,0.1361419],"study_design_scores_gemma":[0.00002028568,0.0002727844,0.581786,0.000231177,0.00006073016,0.001840591,0.3420547,0.004071206,0.00721399,0.003110756,0.05922863,0.0001090398],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9702414,0.00009280311,0.0008062294,0.001970073,0.0001380684,0.00002995091,0.0001378507,0.00003718405,0.02654646],"genre_scores_gemma":[0.9864658,0.00008778326,0.0004506475,0.0009559133,0.00004436928,0.0000257172,0.0001407189,0.00003259633,0.01179654],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02068741,"threshold_uncertainty_score":0.041134,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04056883309865984,"score_gpt":0.2811712041164411,"score_spread":0.2406023710177813,"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."}}