{"id":"W4313575701","doi":"10.1080/0267257x.2022.2157864","title":"Influencers and the attention economy: the meaning and management of attention on Instagram","year":2023,"lang":"en","type":"article","venue":"Journal of Marketing Management","topic":"Digital Marketing and Social Media","field":"Social Sciences","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Influencer marketing; Meaning (existential); Social media; Marketing; Business; Sociology; Psychology; Computer science; Marketing management; Relationship marketing","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":[0.002603977,0.0002189998,0.0002095044,0.001565133,0.002709195,0.0058278,0.0006540904,0.001069013,0.002377114],"category_scores_gemma":[0.007124106,0.0002152844,0.0002280131,0.0008117418,0.009411993,0.00532475,0.004067479,0.00165255,0.0001449454],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002365892,"about_ca_system_score_gemma":0.001327934,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005598827,"about_ca_topic_score_gemma":0.005731059,"domain_scores_codex":[0.9962269,0.002539602,0.00008093027,0.0002633134,0.0004640258,0.0004252738],"domain_scores_gemma":[0.9947947,0.00364814,0.0006410488,0.0002125988,0.0003198399,0.000383635],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0001234947,0.0001205274,0.03739908,0.0001411314,0.00003295955,0.0007671649,0.8414398,0.0001692682,0.00356831,0.07796664,0.001364041,0.03690767],"study_design_scores_gemma":[0.00003087636,0.0002305869,0.08903476,0.0003271855,0.00006990226,0.0007112732,0.8088685,0.002234941,0.002140271,0.03072576,0.06553381,0.00009217001],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.89933,0.0005803761,0.007449232,0.00406333,0.00004866061,0.00005283072,0.00002685854,0.0000260105,0.08842269],"genre_scores_gemma":[0.9986082,0.0001063012,0.0003109452,0.0001470051,0.00001359673,0.00001068321,0.000003731516,0.000008147746,0.0007915313],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0058278,"threshold_uncertainty_score":0.01716578,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01474831975234427,"score_gpt":0.270257689692108,"score_spread":0.2555093699397638,"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."}}