{"id":"W1961763483","doi":"10.1007/978-3-7091-0894-9_1","title":"Privacy in Online Social Networks","year":2013,"lang":"en","type":"book-chapter","venue":"Lecture notes in social networks","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":false,"ca_institutions":"Memorial University of Newfoundland","funders":"","keywords":"Internet privacy; Computer science; Context (archaeology); Information privacy; Privacy by Design; Social network (sociolinguistics); Personally identifiable information; World Wide Web; Information sharing; Privacy software; Social media; Data science; Computer security","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":[0.002169783,0.0005790167,0.000587068,0.0008521435,0.001965907,0.005861689,0.0009499111,0.002506974,0.008656212],"category_scores_gemma":[0.006977668,0.0004759042,0.0005527267,0.001672647,0.003691431,0.01032491,0.003199355,0.003266038,0.001538067],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001488095,"about_ca_system_score_gemma":0.001060332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001103117,"about_ca_topic_score_gemma":0.0008799352,"domain_scores_codex":[0.997385,0.00116239,0.0001287677,0.0003404751,0.0007756659,0.0002076955],"domain_scores_gemma":[0.995586,0.003025373,0.0002224837,0.0008266517,0.0002159675,0.0001233871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001715318,0.00002115713,0.0002504203,0.00009635082,0.00001075697,0.00007464126,0.0006325319,0.002539765,0.0002272423,0.9328443,0.01140952,0.05187614],"study_design_scores_gemma":[0.000004820952,0.00001159523,0.0002123995,0.0001241835,0.000009671341,0.0002063289,0.0002682612,0.008032055,0.0004691081,0.9127285,0.07792225,0.00001086373],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"other","genre_scores_codex":[0.0293223,0.0336204,0.4744445,0.03410718,0.001497943,0.0001816107,0.0006211877,0.0004825304,0.4257225],"genre_scores_gemma":[0.7787771,0.03337065,0.04798703,0.002256276,0.00308988,0.0004060151,0.0007158645,0.0002112925,0.133186],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.008656212,"threshold_uncertainty_score":0.0289579,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02946541172560272,"score_gpt":0.2978442549715843,"score_spread":0.2683788432459816,"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."}}