{"id":"W4379134727","doi":"10.2139/ssrn.4464300","title":"Weaponizing Privacy and Copyright Law for Censorship","year":2023,"lang":"en","type":"article","venue":"SSRN Electronic Journal","topic":"Freedom of Expression and Defamation","field":"Social Sciences","cited_by":5,"is_retracted":false,"has_abstract":false,"ca_institutions":"Centre for International Governance Innovation","funders":"","keywords":"Intellectual property; Government (linguistics); Censorship; Privacy laws of the United States; Journalism; Internet privacy; The Internet; Business; Political science; Information privacy; Public relations; Law; Computer science","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":[0.008993954,0.0005497644,0.0009129546,0.002374317,0.005695369,0.01378308,0.001603266,0.01221196,0.01610056],"category_scores_gemma":[0.03755377,0.0005894189,0.001068363,0.001293322,0.02633505,0.0168631,0.005830645,0.01033447,0.001483421],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003950289,"about_ca_system_score_gemma":0.003597981,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003136991,"about_ca_topic_score_gemma":0.002668299,"domain_scores_codex":[0.9927202,0.002906705,0.0003217855,0.0009560221,0.001858116,0.001237156],"domain_scores_gemma":[0.964307,0.0248791,0.001694004,0.006898245,0.001498969,0.0007226806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000006805885,0.000009190088,0.0001288608,0.000007716131,0.000003184152,0.00002719603,0.0002178273,0.0001432323,0.00007625971,0.997094,0.0007171534,0.001568475],"study_design_scores_gemma":[0.000008383484,0.000008946447,0.0001490142,0.00003139595,0.000008593267,0.00005762618,0.00014976,0.0008245934,0.0002642667,0.9914123,0.007075458,0.00000954704],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"commentary","genre_scores_codex":[0.074908,0.003716514,0.06485173,0.04922045,0.0005896899,0.0001002972,0.0001898502,0.0001476526,0.8062759],"genre_scores_gemma":[0.9625601,0.0007372546,0.003149493,0.002089369,0.000506603,0.00006063632,0.00002394546,0.00003908256,0.03083351],"genre_candidate":"commentary","genre_consensus":null,"teacher_disagreement_score":0.01610056,"threshold_uncertainty_score":0.05386174,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03199122670154732,"score_gpt":0.3265038156213679,"score_spread":0.2945125889198206,"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."}}