{"id":"W4406530152","doi":"10.33774/apsa-2025-ssz5q","title":"U.S. Public Opinion and Government Regulation of Foreign Social Media Apps: A “Hidden Consensus” About What to Ban?","year":2025,"lang":"en","type":"preprint","venue":"","topic":"Hate Speech and Cyberbullying Detection","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Université Laval","funders":"","keywords":"Public opinion; Social media; Government (linguistics); Internet privacy; Public relations; Government regulation; Business; Political science; Law; Computer science; Politics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005221553,0.0002345823,0.0003472569,0.0001644705,0.0001231522,0.0005557607,0.000529521,0.00030008,0.00002972953],"category_scores_gemma":[0.0001449283,0.0002308807,0.0001024631,0.000283705,0.00005594648,0.0002732758,0.001350629,0.0002307083,0.000007984167],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001808897,"about_ca_system_score_gemma":0.0002078577,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005672601,"about_ca_topic_score_gemma":0.00007072053,"domain_scores_codex":[0.997826,0.000113205,0.0004334475,0.0006594584,0.0007049887,0.0002628368],"domain_scores_gemma":[0.9987732,0.0001519394,0.0002436962,0.0005162844,0.0001872667,0.000127648],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0000387378,0.00006915526,0.0001290924,0.0002911013,0.00009584897,0.000001690482,0.002571411,0.00004719917,0.0005147549,0.2115808,0.006174721,0.7784855],"study_design_scores_gemma":[0.006828667,0.001130599,0.1372139,0.007627276,0.0002813448,0.00009721409,0.01044024,0.1430937,0.08412562,0.479894,0.1231254,0.006142123],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.09240963,0.002318321,0.791694,0.02913057,0.01108702,0.004023267,0.0001607957,0.0009827648,0.06819362],"genre_scores_gemma":[0.9444172,0.0005709349,0.05298189,0.0004826125,0.0004163661,0.0001200549,0.00004048278,0.00001685168,0.0009536073],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.8520076,"threshold_uncertainty_score":0.9415041,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03539724096650528,"score_gpt":0.2533006970869072,"score_spread":0.2179034561204019,"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."}}