{"id":"W7155652366","doi":"10.1145/3787279.3787298","title":"TALME: Topical Adversarial LLM-based Misinformation Enforcer","year":2025,"lang":"","type":"article","venue":"","topic":"Misinformation and Its Impacts","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University; McGill University","funders":"","keywords":"Misinformation; Rumor; Adversarial system; Disinformation; Limiting; Software deployment; Trustworthiness; Hindsight bias","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":[0.003015741,0.001271974,0.001349155,0.0008365577,0.0006793044,0.0009727922,0.002262039,0.001634037,0.002275231],"category_scores_gemma":[0.01260287,0.0004841591,0.0007416225,0.0004424179,0.001413226,0.002256918,0.003212216,0.002764803,0.0007412989],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001010173,"about_ca_system_score_gemma":0.001330368,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002430806,"about_ca_topic_score_gemma":0.003752968,"domain_scores_codex":[0.998746,0.0005105161,0.00006925021,0.0002155023,0.0003126442,0.0001459496],"domain_scores_gemma":[0.9942041,0.003688211,0.0005926918,0.0006618898,0.0005736218,0.0002794564],"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":[0.0005471108,0.0001976659,0.004077978,0.000243426,0.0001904072,0.0004225572,0.0003190177,0.7749847,0.008404166,0.02370972,0.01286481,0.1740385],"study_design_scores_gemma":[0.00001258813,0.00004475871,0.0001146671,0.00001171698,0.00001231176,0.00004117675,0.00001315525,0.9907256,0.001599464,0.006697526,0.0007150683,0.00001205357],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.0321815,0.001075511,0.95877,0.001398264,0.0002308126,0.0001194867,0.0002849459,0.002911903,0.003027437],"genre_scores_gemma":[0.8586425,0.0005431402,0.1287723,0.001672132,0.0003254226,0.0002007302,0.0006866489,0.0003107195,0.008846479],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.003015741,"threshold_uncertainty_score":0.01594895,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01457538927792221,"score_gpt":0.3241365604473173,"score_spread":0.309561171169395,"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."}}