{"id":"W4400123646","doi":"10.1145/3675805","title":"Game On, Hate Off: A Study of Toxicity in Online Multiplayer Environments","year":2024,"lang":"en","type":"article","venue":"Games Research and Practice","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University; Mila - Quebec Artificial Intelligence Institute; Ubisoft (Canada)","funders":"Canadian Institute for Advanced Research","keywords":"Leverage (statistics); Computer science; Social media; Video game; Internet privacy; Data science; Multimedia; World Wide Web; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001854138,0.0005234807,0.0005704212,0.001428623,0.001119468,0.00116441,0.0006279147,0.0009086966,0.0009891381],"category_scores_gemma":[0.01760762,0.0003775791,0.0003174392,0.0006307155,0.001131319,0.001636883,0.001232508,0.001203094,0.0005438635],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006503137,"about_ca_system_score_gemma":0.0004393415,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01086467,"about_ca_topic_score_gemma":0.01931452,"domain_scores_codex":[0.9985589,0.0007717842,0.0000877217,0.0002234905,0.0002604659,0.00009757454],"domain_scores_gemma":[0.9861336,0.008019411,0.002721355,0.0007870548,0.001359005,0.0009796026],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.000650486,0.002589774,0.8990394,0.0002049406,0.0002596284,0.001095228,0.04194684,0.002044554,0.008605898,0.0006736261,0.001479496,0.04141005],"study_design_scores_gemma":[0.00002474867,0.001647621,0.9556376,0.00006237849,0.00007428486,0.000759184,0.01972466,0.01585963,0.002396819,0.001224177,0.002509397,0.00007929269],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9985417,0.00002776795,0.0007522759,0.00006251926,0.000003678707,0.00003438161,0.0000681089,0.00001376043,0.000495795],"genre_scores_gemma":[0.9972823,0.00006157098,0.001122298,0.0001060922,0.00001073951,0.00005141133,0.0002080341,0.00001423633,0.001143413],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01086467,"threshold_uncertainty_score":0.02160287,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07496877873334366,"score_gpt":0.3900591640580643,"score_spread":0.3150903853247206,"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."}}