{"id":"W4415225763","doi":"10.1093/pnasnexus/pgaf327","title":"Estimating the effect size of moral contagion in online networks: A pre-registered replication and meta-analysis","year":2025,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Kellogg's (Canada)","funders":"","keywords":"Disinformation; Replication (statistics); Morality; Emotional contagion; Population; Phenomenon","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.1032783,0.004132471,0.01042962,0.004566472,0.001337058,0.004159691,0.005111277,0.004476461,0.007045081],"category_scores_gemma":[0.2860674,0.002476756,0.04918719,0.004872323,0.002919197,0.003760646,0.00297228,0.006143575,0.001144183],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00192641,"about_ca_system_score_gemma":0.002244852,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005040784,"about_ca_topic_score_gemma":0.006035541,"domain_scores_codex":[0.8799768,0.0913535,0.01082448,0.01191359,0.004873137,0.001058501],"domain_scores_gemma":[0.7025716,0.2501619,0.01263328,0.02611654,0.007375209,0.001141416],"domain_codex":null,"domain_gemma":"reproducibility","domain_candidate":"reproducibility","domain_consensus":null,"study_design_codex":"meta_analysis","study_design_gemma":"meta_analysis","study_design_scores_codex":[0.005443666,0.0001623967,0.03335691,0.04851104,0.8924305,0.0004612752,0.0003866911,0.002667901,0.001118509,0.001056759,0.001653711,0.01275064],"study_design_scores_gemma":[0.002560938,0.0009655055,0.01115752,0.003615005,0.9733646,0.0002422763,0.0001555071,0.002327918,0.0008135498,0.002344728,0.002382455,0.00006999424],"study_design_candidate":"meta_analysis","study_design_consensus":"meta_analysis","genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.2253077,0.5869561,0.1436864,0.005140301,0.00507195,0.008976415,0.01617948,0.002051986,0.00662964],"genre_scores_gemma":[0.9460407,0.01095505,0.03051788,0.001467499,0.000393533,0.007124192,0.002264933,0.0003109826,0.0009253589],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8967217,"threshold_uncertainty_score":0.5461944,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02855872642266517,"score_gpt":0.2998031887138378,"score_spread":0.2712444622911726,"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."}}