{"id":"W2920942353","doi":"10.48550/arxiv.1903.07581","title":"MediaRank: Computational Ranking of Online News Sources","year":2019,"lang":"en","type":"preprint","venue":"arXiv (Cornell University)","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Popularity; Reputation; Distrust; Ranking (information retrieval); Quality (philosophy); News media; Politics; Rank (graph theory); German; Computer science; Social media; Political science; Internet privacy; Advertising; Public relations; World Wide Web; Information retrieval; Business; History; Mathematics; Law","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":[0.003284046,0.002128524,0.00163565,0.01576875,0.001414109,0.00445484,0.002401099,0.00148293,0.007286063],"category_scores_gemma":[0.02380553,0.0008788166,0.001195006,0.009099777,0.0005559164,0.004848404,0.001963247,0.00127789,0.004881367],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00120684,"about_ca_system_score_gemma":0.002285008,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007835853,"about_ca_topic_score_gemma":0.01894919,"domain_scores_codex":[0.9967113,0.000991519,0.0003569169,0.000591914,0.001124515,0.0002239258],"domain_scores_gemma":[0.9856328,0.00947495,0.00114203,0.001552196,0.001846126,0.0003518711],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006926861,0.0005859549,0.02786954,0.001454258,0.0006395781,0.0003145408,0.0004641108,0.12879,0.002734337,0.02128028,0.1822078,0.6329669],"study_design_scores_gemma":[0.0001785367,0.00009556425,0.0029344,0.00006889887,0.00005869094,0.00011996,0.0001768647,0.9462176,0.002199441,0.02870502,0.01919845,0.00004651078],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1464285,0.004838482,0.640193,0.003588086,0.001184852,0.001171277,0.08186141,0.09821468,0.02251973],"genre_scores_gemma":[0.3269661,0.000913179,0.5864034,0.0004152884,0.0008388361,0.0008057738,0.07373918,0.001925156,0.007993138],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01576875,"threshold_uncertainty_score":0.02437437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.101889739550699,"score_gpt":0.2413305733554786,"score_spread":0.1394408338047796,"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."}}