{"id":"W3121274724","doi":"10.1016/j.cognition.2018.06.011","title":"Lazy, not biased: Susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning","year":2018,"lang":"en","type":"article","venue":"Cognition","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1985,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"Social Sciences and Humanities Research Council of Canada; Defense Advanced Research Projects Agency; Templeton World Charity Foundation","keywords":"Headline; Motivated reasoning; Ideology; Confirmation bias; Psychology; Social psychology; Discernment; Fake news; Politics; Test (biology); Cognitive psychology; Epistemology; Sociology; Advertising; Political science; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01282775,0.0005952016,0.0009891414,0.003231161,0.0009301406,0.003998965,0.0007841786,0.003402745,0.00603911],"category_scores_gemma":[0.1371447,0.0008873098,0.000874087,0.001263387,0.004099268,0.004735104,0.001977863,0.002795191,0.0006085206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005938712,"about_ca_system_score_gemma":0.001011883,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00234501,"about_ca_topic_score_gemma":0.001660308,"domain_scores_codex":[0.9920815,0.002888195,0.0006876752,0.001581228,0.001988851,0.0007724182],"domain_scores_gemma":[0.7810822,0.1197134,0.06165923,0.02699938,0.004875958,0.005669929],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002600966,0.001458142,0.9494685,0.0001445189,0.0009816871,0.0009101628,0.00477379,0.001287876,0.004987107,0.006853277,0.001127467,0.0254066],"study_design_scores_gemma":[0.0002771617,0.0007148535,0.931573,0.00009437915,0.0005564195,0.002104934,0.002126417,0.009228092,0.001887213,0.05017143,0.001140531,0.0001256321],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9915422,0.0002494027,0.001433961,0.001472022,0.00002962975,0.00002857117,0.0000713311,0.00002843591,0.005144354],"genre_scores_gemma":[0.9988919,0.00007777107,0.0003655676,0.0002433072,0.00003591126,0.000006853405,0.00005034242,0.00001791881,0.0003104861],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01282775,"threshold_uncertainty_score":0.0678404,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06745490741676578,"score_gpt":0.3515544683992037,"score_spread":0.2840995609824379,"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."}}