{"id":"W4306318367","doi":"10.31235/osf.io/bzs5e","title":"Overuse of Moral Language Dampens Content Engagement on Social Media","year":2022,"lang":"en","type":"preprint","venue":"","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Morality; Mainstream; Social media; Psychology; Moral disengagement; Social psychology; Lexicon; Doxastic logic; Political science; Epistemology; Linguistics; Law","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":[0.002173605,0.0003413688,0.0003223348,0.0008800346,0.0007229005,0.003114268,0.0003768645,0.0008132613,0.007979671],"category_scores_gemma":[0.04193282,0.0002785786,0.0002399983,0.0004530317,0.001531224,0.003021011,0.002576453,0.001546471,0.001670432],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004034852,"about_ca_system_score_gemma":0.0003603984,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007773123,"about_ca_topic_score_gemma":0.001042331,"domain_scores_codex":[0.9971283,0.001282151,0.0001221504,0.000458396,0.0006956544,0.0003133564],"domain_scores_gemma":[0.9624795,0.02418246,0.006400754,0.003042296,0.001707872,0.002187106],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002724707,0.002142482,0.6190495,0.001032237,0.000278112,0.0006465502,0.03643912,0.002597756,0.08096129,0.01045406,0.004976178,0.2386979],"study_design_scores_gemma":[0.00004715793,0.001677579,0.9315037,0.0002390239,0.0001372222,0.0004721546,0.01394036,0.01445253,0.01424604,0.01271006,0.01049139,0.00008283337],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9882608,0.0001064474,0.001969689,0.0003297068,0.00002439077,0.00002836252,0.00008067548,0.0000991804,0.009100717],"genre_scores_gemma":[0.9978476,0.00004315665,0.0005973305,0.000106604,0.00002174563,0.00002253629,0.00006399293,0.00004126595,0.001255803],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007979671,"threshold_uncertainty_score":0.02669466,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1195376343271848,"score_gpt":0.2950554252682244,"score_spread":0.1755177909410396,"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."}}