{"id":"W4407393807","doi":"10.14745/ccdr.v51i23a05","title":"Differences in sensationalism in international news media reporting of COVID-19: An exploratory analysis using the Global Public Health Intelligence Network (GPHIN) system","year":2025,"lang":"en","type":"article","venue":"Canada Communicable Disease Report","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Public Health Agency of Canada","funders":"Public Health Agency; Public Health Agency of Canada","keywords":"Sensationalism; Coronavirus disease 2019 (COVID-19); Public health; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Political science; Psychology; Medicine; Advertising; Business; Virology; Outbreak; Pathology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":true,"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":[0.009746606,0.0004314725,0.0005908881,0.007403392,0.001023113,0.002969221,0.0006339916,0.0004907565,0.002556537],"category_scores_gemma":[0.04315086,0.0003599838,0.001055698,0.005552631,0.001424383,0.002338295,0.003737834,0.0009570728,0.0003740854],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001358624,"about_ca_system_score_gemma":0.001126558,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003171979,"about_ca_topic_score_gemma":0.003248891,"domain_scores_codex":[0.9929634,0.003219957,0.001235614,0.0005633376,0.001478339,0.0005393447],"domain_scores_gemma":[0.9569542,0.02760788,0.008761169,0.001205296,0.004539898,0.0009316459],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00083071,0.000408968,0.6994557,0.001566558,0.0003434345,0.0006524249,0.2671561,0.000149478,0.003472861,0.0008388878,0.001160699,0.02396416],"study_design_scores_gemma":[0.00002106798,0.000347091,0.8781928,0.0002050302,0.00008620648,0.0002246448,0.1173989,0.0004806808,0.000751149,0.0001714659,0.002076944,0.00004400099],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.997125,0.00007016479,0.0003178241,0.00008859008,0.000007308243,0.0003445355,0.0008384589,0.000009165043,0.00119895],"genre_scores_gemma":[0.9940235,0.0001590782,0.00196044,0.00008858353,0.00002721619,0.001816303,0.001343052,0.00002246258,0.000559384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009746606,"threshold_uncertainty_score":0.05154562,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.155199137472567,"score_gpt":0.3985937886476895,"score_spread":0.2433946511751225,"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."}}