{"id":"W7161825497","doi":"10.82308/46139","title":"Navigating Instagram's compliance with transparency requirements in EU and Canadian data protection law","year":2025,"lang":"en","type":"dissertation","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Transparency (behavior); Accountability; Data Protection Act 1998; Compliance (psychology); Information privacy; Enforcement; General Data Protection Regulation; Privacy by Design; Privacy policy; Privacy law","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":[0.0006072876,0.0001791932,0.0002047052,0.00008796008,0.0008143106,0.0002081156,0.0006479674,0.0002637226,0.00004551806],"category_scores_gemma":[0.0001668422,0.0001808527,0.00001263588,0.0004987745,0.00008332784,0.0008592489,0.00004536108,0.0005542354,0.000003670409],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002761007,"about_ca_system_score_gemma":0.000830017,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.9553757,"about_ca_topic_score_gemma":0.998913,"domain_scores_codex":[0.9983342,0.0001404826,0.0002705016,0.0005835744,0.0003211355,0.0003501349],"domain_scores_gemma":[0.9991395,0.00001831976,0.0001225152,0.0004849944,0.00009224808,0.0001423994],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0007106116,0.0004299555,0.01122453,0.004694945,0.0002559794,0.00008937476,0.1244561,0.00001460743,0.0002616294,0.14145,0.001660222,0.7147521],"study_design_scores_gemma":[0.00723058,0.000933002,0.0647205,0.0321443,0.0005235165,0.00001116244,0.211377,0.005151633,0.001108932,0.05243668,0.6182483,0.006114421],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.1992528,0.001861265,0.001579791,0.008766755,0.002936093,0.0112979,0.0015372,0.0005332122,0.7722349],"genre_scores_gemma":[0.9933094,0.0003203806,0.0008358957,0.0001868449,0.00009560099,0.000142994,0.004126807,0.00001583944,0.0009662704],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7940565,"threshold_uncertainty_score":0.737496,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1279351092236929,"score_gpt":0.381979717454228,"score_spread":0.2540446082305352,"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."}}