{"id":"W4231588236","doi":"10.31234/osf.io/3n9u8","title":"Shifting attention to accuracy can reduce misinformation online","year":2019,"lang":"en","type":"preprint","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":118,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Regina","funders":"","keywords":"Misinformation; Headline; Social media; Context (archaeology); Media bias; Internet privacy; Computer science; Psychology; Preference; Narrative; Social psychology; Advertising; Politics; Political science; World Wide Web; Computer security","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":[],"consensus_categories":[],"category_scores_codex":[0.002944981,0.0005540388,0.0003992586,0.0008787811,0.000801899,0.002153342,0.0005444161,0.001345903,0.005401287],"category_scores_gemma":[0.04672677,0.0003469806,0.0002907249,0.0005190181,0.00103151,0.003338612,0.001916113,0.001034825,0.0008987885],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006870342,"about_ca_system_score_gemma":0.0004607774,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002184575,"about_ca_topic_score_gemma":0.002436412,"domain_scores_codex":[0.9976134,0.001041804,0.0001211194,0.0004271918,0.0005477204,0.0002487742],"domain_scores_gemma":[0.963644,0.02551825,0.004740904,0.003172652,0.001674557,0.001249586],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.004161204,0.002276449,0.3168319,0.001997291,0.0005582945,0.0007415263,0.05345865,0.003596873,0.05966899,0.01401187,0.01015339,0.5325435],"study_design_scores_gemma":[0.0006292114,0.00317258,0.8272995,0.0007026005,0.001150666,0.0007811445,0.02073734,0.02317638,0.02494582,0.06652229,0.03053817,0.0003444314],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9755451,0.0004421791,0.005060395,0.001335816,0.00005740371,0.00005096836,0.00007225373,0.0001366426,0.01729918],"genre_scores_gemma":[0.9966584,0.0001246137,0.001960468,0.0003734613,0.00004236375,0.00002854891,0.00004373445,0.00002293475,0.0007454727],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005401287,"threshold_uncertainty_score":0.01806909,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07369642110406516,"score_gpt":0.3934552368152808,"score_spread":0.3197588157112156,"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."}}