{"id":"W4404378860","doi":"10.1093/pnasnexus/pgae442","title":"How reliance on Spanish-language social media predicts beliefs in false political narratives amongst Latinos","year":2024,"lang":"en","type":"article","venue":"PNAS Nexus","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"York University; Charles Koch Foundation; Craig Newmark Philanthropies; John S. and James L. Knight Foundation; William and Flora Hewlett Foundation; Bill and Melinda Gates Foundation","keywords":"Misinformation; Social media; Narrative; Politics; Social psychology; Psychology; Sociology; Political science; Linguistics; Law","routes":{"ca_aff":false,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004043694,0.0001291278,0.0001588081,0.0001337807,0.0002485342,0.0004334459,0.00017768,0.0001495345,0.0002226612],"category_scores_gemma":[0.001356319,0.0001150517,0.00005709102,0.0004549967,0.0002571925,0.0006336021,0.00002763035,0.000280826,0.0002042823],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001674887,"about_ca_system_score_gemma":0.0002426237,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000264011,"about_ca_topic_score_gemma":0.001524449,"domain_scores_codex":[0.9983832,0.0001427813,0.0001983636,0.0001921295,0.0005565005,0.0005269862],"domain_scores_gemma":[0.9992977,0.0002837471,0.00004321805,0.0001010814,0.000037491,0.0002368024],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001324083,0.00004270881,0.0001082262,0.00003482278,0.000008553805,0.0000417669,0.6277149,0.000001615271,0.0001199945,0.3518693,0.01230639,0.007738429],"study_design_scores_gemma":[0.001321812,0.0002320814,0.06743969,0.0006366035,0.00001847983,0.000005821652,0.7186514,0.0006651167,0.001333467,0.03112638,0.1776905,0.0008787065],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6006132,0.0004094775,0.00005864535,0.03465788,0.001377061,0.0003933366,0.00008360697,0.0003875867,0.3620192],"genre_scores_gemma":[0.9943419,0.00002002819,0.00006272918,0.0006443017,0.001061658,0.000005814008,0.00001555644,0.00001279026,0.003835193],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3937287,"threshold_uncertainty_score":0.469167,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03305281834178088,"score_gpt":0.3246637535809432,"score_spread":0.2916109352391624,"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."}}