{"id":"W7128984862","doi":"","title":"Echoes of Doubt: Exposure to Information About Generative AI Decreases Believability of News","year":2025,"lang":"en","type":"article","venue":"UvA-DARE (University of Amsterdam)","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disinformation; Deception; Psychological intervention; Generative grammar; Perception; Intervention (counseling); Fake news; Literacy; Politics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.002059173,0.0002715373,0.0003057885,0.0003664706,0.0005913904,0.001382289,0.0003811809,0.0008522731,0.008991295],"category_scores_gemma":[0.0305224,0.0002086225,0.0002340691,0.0001655399,0.001068835,0.0009859003,0.0009860097,0.001307848,0.0005508437],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007892889,"about_ca_system_score_gemma":0.0009301959,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007857417,"about_ca_topic_score_gemma":0.008844249,"domain_scores_codex":[0.9987403,0.0006151501,0.00005855632,0.0001216076,0.0003185142,0.0001459022],"domain_scores_gemma":[0.978846,0.01594897,0.002513071,0.00107377,0.0006161995,0.001002025],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.01044581,0.01747126,0.1599742,0.003189491,0.000588656,0.001057224,0.1301508,0.001006593,0.05192655,0.009903014,0.01173494,0.6025513],"study_design_scores_gemma":[0.001846582,0.01950185,0.7893879,0.002923785,0.002272108,0.001233499,0.05192545,0.009364347,0.0376265,0.01724054,0.06637672,0.0003007228],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.991037,0.0002243709,0.0007021257,0.001189933,0.00004209405,0.00003791006,0.00005729197,0.00006361814,0.006645631],"genre_scores_gemma":[0.9968828,0.0002173574,0.001036492,0.0003692695,0.00002196811,0.00003418004,0.00004921944,0.00001102947,0.00137766],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008991295,"threshold_uncertainty_score":0.03007889,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01102666711964721,"score_gpt":0.2691373088721619,"score_spread":0.2581106417525147,"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."}}