{"id":"W3165253721","doi":"10.1177/1368430220965709","title":"Character deprecation in fake news: Is it in supply or demand?","year":2021,"lang":"en","type":"article","venue":"Group Processes & Intergroup Relations","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Social Sciences and Humanities Research Council of Canada; William and Flora Hewlett Foundation; Canadian Institutes of Health Research; Miami Foundation; John Templeton Foundation","keywords":"Character (mathematics); Psychology; Fake news; Advertising; Social media; Social psychology; Character traits; Political science; Law; Business","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":[0.003442277,0.0004415272,0.0008735678,0.001875645,0.0010374,0.005213032,0.0006187308,0.00187823,0.01780064],"category_scores_gemma":[0.0446651,0.0008037125,0.0004710484,0.001784512,0.001455832,0.006045742,0.001276071,0.00144891,0.003110414],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001072474,"about_ca_system_score_gemma":0.0004751857,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001929303,"about_ca_topic_score_gemma":0.001691675,"domain_scores_codex":[0.9964666,0.001002256,0.0003644061,0.0006179161,0.001132321,0.0004164777],"domain_scores_gemma":[0.9300526,0.03237356,0.02480716,0.005233496,0.005329938,0.002203305],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.001129569,0.0007633935,0.8292896,0.001167733,0.000262612,0.001210553,0.01243547,0.0003941605,0.00696418,0.006473744,0.003505458,0.1364036],"study_design_scores_gemma":[0.00004686484,0.0004487803,0.9590838,0.0004215081,0.0001458015,0.002369996,0.01504568,0.00231992,0.002029779,0.006001297,0.01198525,0.0001012952],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9712663,0.001440431,0.002141273,0.003514691,0.000105986,0.00006784721,0.000631667,0.00005039689,0.02078138],"genre_scores_gemma":[0.9951556,0.000825887,0.0006489503,0.0004745452,0.0001877639,0.00003395113,0.0004019668,0.00003285692,0.002238456],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01780064,"threshold_uncertainty_score":0.05954903,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03777130160988981,"score_gpt":0.335358533118324,"score_spread":0.2975872315084342,"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."}}