{"id":"W2092604046","doi":"10.1145/1754239.1754275","title":"Analysis of social networking privacy policies","year":2010,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"","keywords":"Information privacy; Internet privacy; Privacy policy; Privacy by Design; Computer science; Privacy software; Taxonomy (biology); Privacy protection; Social network (sociolinguistics); Computer security; Social media; World Wide Web","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":[0.01077971,0.0003879293,0.0004744294,0.003995903,0.001808819,0.004533538,0.001023543,0.001181769,0.002405714],"category_scores_gemma":[0.04880718,0.0003218972,0.0007828276,0.00417905,0.00191685,0.007205294,0.001399416,0.001667868,0.0003502429],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004384559,"about_ca_system_score_gemma":0.003132086,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00594281,"about_ca_topic_score_gemma":0.002771706,"domain_scores_codex":[0.9867622,0.006196927,0.0008422545,0.0009913292,0.003986172,0.001221118],"domain_scores_gemma":[0.9349509,0.04365386,0.006887126,0.00750005,0.006287286,0.000720725],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001935723,0.0001740695,0.03430903,0.0002248787,0.000120315,0.0002304136,0.002662489,0.03661254,0.001303497,0.853108,0.003392924,0.06766813],"study_design_scores_gemma":[0.00004036679,0.0001527363,0.03171075,0.0003527359,0.0001346092,0.000787163,0.005651673,0.3363793,0.006063166,0.5703183,0.04831741,0.00009183483],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6213448,0.002956945,0.2740303,0.01090014,0.0001313386,0.0007723621,0.003081299,0.0003637638,0.086419],"genre_scores_gemma":[0.9815931,0.0006961774,0.01470467,0.0001498653,0.00004139463,0.0001721747,0.0005698553,0.00002785857,0.002044805],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01077971,"threshold_uncertainty_score":0.05700922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03276179058290612,"score_gpt":0.3353315444500971,"score_spread":0.3025697538671909,"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."}}