{"id":"W4313428942","doi":"10.1017/s1930297500008640","title":"Beyond “fake news”: Analytic thinking and the detection of false and hyperpartisan news headlines","year":2021,"lang":"en","type":"article","venue":"Judgment and Decision Making","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":105,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"Australian Research Council; Social Sciences and Humanities Research Council of Canada; William and Flora Hewlett Foundation; Canadian Institutes of Health Research; Miami Foundation; John Templeton Foundation","keywords":"Misinformation; Motivated reasoning; Psychology; Social psychology; Discernment; Content (measure theory); Social media; Confirmation bias; Analytic reasoning; Politics; Epistemology; Computer science; Political science","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":[0.007626799,0.0003623131,0.0003296574,0.002125936,0.0006612558,0.003483413,0.0003679354,0.0009234226,0.002388233],"category_scores_gemma":[0.1298368,0.0003089489,0.0003198561,0.0008463,0.001951129,0.002936561,0.001287857,0.001350896,0.0001901704],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005540811,"about_ca_system_score_gemma":0.0005109644,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001283105,"about_ca_topic_score_gemma":0.001171526,"domain_scores_codex":[0.9937853,0.003395715,0.000420189,0.0005502481,0.001588022,0.0002604632],"domain_scores_gemma":[0.8307297,0.1105795,0.04178207,0.007321256,0.007855093,0.001732374],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002976356,0.0005927118,0.7758328,0.0007287905,0.0005381911,0.0008814716,0.06870993,0.001582304,0.02188411,0.009702844,0.001133192,0.1154373],"study_design_scores_gemma":[0.0001149281,0.0006282604,0.9054835,0.0004737866,0.0003303814,0.001514943,0.02909197,0.0108843,0.0155421,0.03200393,0.003742157,0.0001896278],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9941843,0.0002219562,0.001489677,0.0003442163,0.0000136722,0.00001685386,0.00003264385,0.00001213436,0.003684542],"genre_scores_gemma":[0.9990238,0.00006421028,0.0006855766,0.00005994476,0.00001341826,0.000005847157,0.00002078334,0.000004233193,0.0001221354],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007626799,"threshold_uncertainty_score":0.04033488,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03216683891097311,"score_gpt":0.3276348011791145,"score_spread":0.2954679622681414,"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."}}