{"id":"W4306403910","doi":"10.30935/ojcmt/12545","title":"A Bibliometric Analysis of Disinformation through Social Media","year":2022,"lang":"en","type":"article","venue":"Online Journal of Communication and Media Technologies","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":18,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Disinformation; Social media; Sociology; Social science; Political science; Public relations; Psychology; Media studies","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":["bibliometrics"],"consensus_categories":[],"category_scores_codex":[0.02152131,0.0008627249,0.002893861,0.2357936,0.001694524,0.004938815,0.001261214,0.0009257552,0.00378633],"category_scores_gemma":[0.1079838,0.000545876,0.002793461,0.2391972,0.00131428,0.003675604,0.002912869,0.0006424675,0.0007232564],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003183166,"about_ca_system_score_gemma":0.01225496,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005646809,"about_ca_topic_score_gemma":0.009377362,"domain_scores_codex":[0.9620314,0.009101852,0.01124322,0.001911354,0.01492163,0.0007905296],"domain_scores_gemma":[0.8283069,0.1083222,0.02905496,0.004182873,0.02857177,0.001561174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0006714201,0.0003551898,0.3638962,0.13772,0.005720903,0.001480462,0.01042495,0.002164665,0.003970166,0.008393439,0.0217871,0.4434155],"study_design_scores_gemma":[0.0002026127,0.0007972537,0.7795713,0.02486575,0.01005795,0.00278818,0.01658819,0.005161634,0.004396297,0.007264628,0.1479428,0.0003633511],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6262372,0.1601058,0.0166712,0.004803409,0.000741294,0.009732169,0.1312405,0.0008353945,0.04963295],"genre_scores_gemma":[0.8636508,0.06001365,0.03002879,0.0003823455,0.0006515837,0.009564046,0.03267079,0.0001192509,0.002918761],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7642064,"threshold_uncertainty_score":0.113817,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07061379904978536,"score_gpt":0.3727248597113542,"score_spread":0.3021110606615688,"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."}}