{"id":"W4392186492","doi":"10.21428/cb6ab371.ee9be762","title":"Information trolls and democracy: A qualitative examination of disinformation campaigns in Canada","year":2024,"lang":"en","type":"preprint","venue":"CrimRxiv","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Disinformation; Democracy; Political science; Fake news; Internet privacy; Media studies; Computer security; Sociology; Computer science; Law; Social media; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001744552,0.0001485084,0.0002541733,0.0003880727,0.0001097894,0.0001681388,0.0001493116,0.0001623457,0.00007171868],"category_scores_gemma":[0.0008225481,0.00014659,0.00003856681,0.0003150981,0.00009669834,0.001102068,0.000141868,0.0003253872,0.00001600946],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008554906,"about_ca_system_score_gemma":0.003338437,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.6030095,"about_ca_topic_score_gemma":0.7243978,"domain_scores_codex":[0.9981402,0.0002651741,0.0007241871,0.00008682437,0.0005715882,0.0002120672],"domain_scores_gemma":[0.9989004,0.0002100306,0.0004229345,0.0001414717,0.0002155022,0.0001096282],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001011528,0.000006706578,0.0001256591,0.0006304079,0.00001486592,3.786991e-7,0.9500159,0.0002048533,0.000002699088,0.02135103,0.0007770534,0.02686034],"study_design_scores_gemma":[0.0004426857,0.00002747194,0.04130215,0.0006022567,0.00004306269,7.73676e-7,0.9294515,0.005832725,0.00009291156,0.01901659,0.002801849,0.00038599],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9518021,0.00009459237,0.0004429774,0.0009062808,0.0004737616,0.0005599827,0.000103419,0.00003206556,0.04558479],"genre_scores_gemma":[0.9992508,0.0001417118,0.0001363109,0.0001794509,0.00003303472,0.000009238938,0.0001190991,0.000005312467,0.0001250081],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.1213884,"threshold_uncertainty_score":0.5977765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04393180435467495,"score_gpt":0.3440521646120674,"score_spread":0.3001203602573924,"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."}}