{"id":"W4417198795","doi":"10.1080/02650487.2025.2598980","title":"Generative AI streamers in action: a source credibility perspective","year":2025,"lang":"en","type":"article","venue":"International Journal of Advertising","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Wilfrid Laurier University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Perspective (graphical); Credibility; Generative grammar; Generative model; Source credibility","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006258655,0.00005742231,0.0001075838,0.0003483327,0.0001078581,0.0001287751,0.0002269788,0.00004627687,0.0001909327],"category_scores_gemma":[0.001162276,0.00005439458,0.00007504059,0.0002372143,0.00009653091,0.0009634795,0.00002394677,0.00021215,0.000004206404],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001069803,"about_ca_system_score_gemma":0.0006047307,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009027685,"about_ca_topic_score_gemma":0.0008408925,"domain_scores_codex":[0.9988594,0.0001208777,0.0003431188,0.00006889003,0.000491505,0.0001162189],"domain_scores_gemma":[0.9987212,0.0001019945,0.0002023626,0.0000449586,0.0008669225,0.0000624968],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.001040314,0.0005572797,0.02875916,0.00001633575,0.0006340847,0.00009043203,0.4044814,0.01478085,0.001902338,0.1760676,0.01652726,0.355143],"study_design_scores_gemma":[0.005546111,0.0002057611,0.1441167,0.001211589,0.00006519605,0.00008104351,0.5791659,0.006364318,0.00717663,0.04981131,0.2057224,0.0005330591],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7976532,0.0002041958,0.03742329,0.04000157,0.00256084,0.0001264756,0.000003899439,0.00002132055,0.1220052],"genre_scores_gemma":[0.9961481,0.00009275311,0.0004705521,0.001557565,0.0002706193,2.019797e-7,5.157393e-7,0.000002233822,0.001457437],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3546099,"threshold_uncertainty_score":0.2797499,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02648070199679116,"score_gpt":0.4206691123171908,"score_spread":0.3941884103203997,"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."}}