{"id":"W4412712021","doi":"10.1177/00222429251363144","title":"More Ads, More Viewers? Analyzing Behavioral Shifts from Advertising Permissions to Live Streaming Consumption","year":2025,"lang":"en","type":"article","venue":"Journal of Marketing","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McMaster University","funders":"","keywords":"Audience measurement; Live streaming; Advertising; Consumption (sociology); Revenue; Quality (philosophy); Computer science; Broadcasting (networking); Video streaming; Business; Multimedia; Sociology; Real-time computing; Computer network","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":[0.001044055,0.0001463528,0.0002608516,0.0006247679,0.000270231,0.001082806,0.0002966215,0.0005469227,0.003811846],"category_scores_gemma":[0.00757327,0.0001728962,0.0004245787,0.0008401181,0.0003645936,0.0009426627,0.0004968737,0.0009851243,0.0008301119],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003897614,"about_ca_system_score_gemma":0.0002136124,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01025153,"about_ca_topic_score_gemma":0.01059996,"domain_scores_codex":[0.9993638,0.00024932,0.00003358096,0.0001831369,0.00008765136,0.00008241845],"domain_scores_gemma":[0.9927325,0.003767459,0.002114046,0.0004745972,0.0004086666,0.0005027514],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003278949,0.0002813952,0.981189,0.00004909863,0.0001492884,0.00003420336,0.001265505,0.0002628094,0.000889357,0.0004147881,0.001073139,0.01406362],"study_design_scores_gemma":[0.000006111882,0.00006709226,0.9961888,0.000006488764,0.00002368542,0.0000227911,0.001359724,0.001053413,0.000224802,0.0002074844,0.0008330527,0.000006519232],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9967458,0.0001112215,0.0003764693,0.0003124921,0.00001127293,0.00001214114,0.0008270612,0.00001286318,0.001590677],"genre_scores_gemma":[0.9975165,0.00007216333,0.0003294195,0.0001181128,0.00001839716,0.00001756756,0.0009788843,0.000006119421,0.0009428618],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01025153,"threshold_uncertainty_score":0.02038372,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0241830849398374,"score_gpt":0.3596679816920803,"score_spread":0.3354848967522429,"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."}}