{"id":"W4379058660","doi":"10.1093/esr/jcad031","title":"Racial bias in media coverage: accounting for structural position and public interest","year":2023,"lang":"en","type":"article","venue":"European Sociological Review","topic":"Media Studies and Communication","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Newspaper; Media coverage; Position (finance); Public interest; Media bias; White (mutation); Race (biology); Scale (ratio); Demographic economics; Political science; Econometrics; Sociology; Economics; Geography; Media studies; Gender studies; Law; Cartography","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":[0.009567019,0.0002371428,0.0003832344,0.004050162,0.0003421029,0.001350697,0.0004931582,0.0005193658,0.002865653],"category_scores_gemma":[0.05557282,0.0001683485,0.000569793,0.004865609,0.000806011,0.001409162,0.001006594,0.0004030992,0.0002975386],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004779169,"about_ca_system_score_gemma":0.0004283781,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004572006,"about_ca_topic_score_gemma":0.004407426,"domain_scores_codex":[0.993946,0.003550891,0.0005807637,0.0006155468,0.0009693867,0.000337487],"domain_scores_gemma":[0.9336407,0.04262898,0.0170119,0.00279141,0.003478053,0.0004488842],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0002825356,0.00004001426,0.9556141,0.0007069702,0.001148936,0.000116223,0.002428319,0.000389532,0.0003381831,0.00231378,0.0005571652,0.03606429],"study_design_scores_gemma":[0.00001099971,0.00008100988,0.9899355,0.0005261368,0.0008801434,0.0001922668,0.001860624,0.001126502,0.0004717077,0.00166071,0.003243323,0.00001106513],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9679648,0.01709352,0.002851519,0.001026648,0.0001005269,0.00007782458,0.001326242,0.00001246207,0.00954656],"genre_scores_gemma":[0.997606,0.001285811,0.0004151386,0.00005895098,0.0001036382,0.0000240962,0.0002388904,0.000004753138,0.0002627469],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009567019,"threshold_uncertainty_score":0.05059588,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2960137653903288,"score_gpt":0.4144712468730056,"score_spread":0.1184574814826768,"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."}}