{"id":"W4411121030","doi":"10.1609/icwsm.v19i1.35920","title":"StyleLink: User Identity Linkage Across Social Media with Stylometric Representations","year":2025,"lang":"en","type":"article","venue":"Proceedings of the International AAAI Conference on Web and Social Media","topic":"Opinion Dynamics and Social Influence","field":"Physics and Astronomy","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"McGill University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Linkage (software); Identity (music); Social media; Computer science; Sociology; Psychology; World Wide Web; Art; Biology; Genetics; Aesthetics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001440147,0.001082706,0.0006672019,0.003322728,0.0007175092,0.001812029,0.001366251,0.001132021,0.00192258],"category_scores_gemma":[0.006573906,0.0003850541,0.0009508826,0.002988728,0.0008030874,0.004453871,0.002090325,0.001366541,0.001361139],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001157985,"about_ca_system_score_gemma":0.0007774519,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.005964559,"about_ca_topic_score_gemma":0.00937107,"domain_scores_codex":[0.9984961,0.0004327257,0.00008548443,0.0005287281,0.0003601305,0.00009686691],"domain_scores_gemma":[0.9975436,0.000849803,0.0005485621,0.0006069273,0.0003392196,0.0001117618],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0005885758,0.0006411817,0.03654364,0.0003633884,0.0003483023,0.0004645655,0.001318393,0.2193898,0.008361808,0.03560914,0.01612312,0.680248],"study_design_scores_gemma":[0.00001263113,0.00006314977,0.003043501,0.00002745997,0.00003186631,0.0001297369,0.000100384,0.9726989,0.002313811,0.01670695,0.004841247,0.00003035292],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1456667,0.0009816178,0.8355231,0.0008134868,0.0002767647,0.0003819797,0.002970442,0.004472941,0.008912951],"genre_scores_gemma":[0.8145069,0.0006454401,0.1685032,0.0003009736,0.0002775601,0.0003304571,0.004929527,0.0002819803,0.01022384],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005964559,"threshold_uncertainty_score":0.01185966,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0237602105424978,"score_gpt":0.3173354184441818,"score_spread":0.293575207901684,"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."}}