{"id":"W7008704329","doi":"","title":"Combating online misinformation by detecting organized groups on social media","year":2021,"lang":"en","type":"dissertation","venue":"eScholarship@McGill (McGill)","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"","keywords":"Misinformation; Disinformation; Social media; Dissemination; Online participation; Politics; Information cascade; Pipeline (software); Space (punctuation)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.001402836,0.001170329,0.000605359,0.00405284,0.0008097914,0.001743778,0.0007336214,0.001104343,0.001159725],"category_scores_gemma":[0.007746362,0.0003111348,0.0005695237,0.001966904,0.0008803588,0.002829676,0.00177482,0.001430812,0.0008429917],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000817752,"about_ca_system_score_gemma":0.0009599677,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008531035,"about_ca_topic_score_gemma":0.01707396,"domain_scores_codex":[0.9989845,0.0003821694,0.00004184874,0.0002125153,0.0002398339,0.0001391359],"domain_scores_gemma":[0.9964323,0.001475148,0.000727974,0.0006096906,0.0005765271,0.0001782139],"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":[0.000658521,0.0006703795,0.1767648,0.000425151,0.0003877534,0.0003532197,0.002926516,0.1528741,0.01148577,0.01726768,0.01493422,0.6212519],"study_design_scores_gemma":[0.0000195622,0.0002061568,0.036125,0.00008380873,0.00008888646,0.0001624876,0.001688663,0.9307018,0.007483888,0.01710426,0.006289826,0.00004569413],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6868756,0.0009566838,0.293975,0.002434877,0.0001282658,0.0003735434,0.001582975,0.001813309,0.0118599],"genre_scores_gemma":[0.9290079,0.0002708668,0.0660549,0.0001445864,0.0001138131,0.00006042632,0.001466495,0.00006419823,0.002816729],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008531035,"threshold_uncertainty_score":0.01696277,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03192156311124122,"score_gpt":0.2941570604183055,"score_spread":0.2622354973070643,"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."}}