{"id":"W2973835677","doi":"10.1109/iri.2019.00066","title":"Fake News Detection Using Bayesian Inference","year":2019,"lang":"en","type":"article","venue":"","topic":"Spam and Phishing Detection","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Multinomial distribution; Markov chain Monte Carlo; Exponential family; Computer science; Dirichlet distribution; Bayesian probability; Bayesian inference; Inference; Artificial intelligence; Mixture model; Machine learning; Gibbs sampling; Algorithm; Data mining; Mathematics; Econometrics","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":[0.004432536,0.0009069031,0.00202065,0.003238682,0.001026505,0.002014542,0.001985601,0.00159862,0.002208368],"category_scores_gemma":[0.020752,0.001225619,0.001146002,0.001674193,0.001409909,0.003158075,0.00159361,0.00225457,0.0008060525],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001554116,"about_ca_system_score_gemma":0.001642655,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008913713,"about_ca_topic_score_gemma":0.007742927,"domain_scores_codex":[0.9978057,0.0009656607,0.0001140985,0.0004292061,0.0005394456,0.0001459918],"domain_scores_gemma":[0.9859912,0.01149292,0.0007684052,0.0006917688,0.0008787698,0.0001770684],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003627513,0.0002372984,0.006653793,0.0002791548,0.0002558123,0.0002753589,0.0003023908,0.708909,0.002508515,0.0640854,0.004342805,0.2117877],"study_design_scores_gemma":[0.000008194179,0.000006829323,0.0002392864,0.00001265774,0.00001040003,0.00003722393,0.000009419469,0.9853749,0.0003324257,0.01368848,0.0002687038,0.0000113976],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.021578,0.0004741261,0.9754525,0.0003292356,0.00003309669,0.00005729895,0.00009222951,0.0005676422,0.001415787],"genre_scores_gemma":[0.6740355,0.0008046237,0.3209562,0.0002481612,0.0002171029,0.0002004109,0.0005705427,0.0001645117,0.002802774],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.008913713,"threshold_uncertainty_score":0.02344173,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904359245319845,"score_gpt":0.2496959917253967,"score_spread":0.2306523992721983,"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."}}