{"id":"W4297659141","doi":"10.1145/3549015.3555672","title":"“I just want to play games with friends and it asked me for all of my information”: Trading privacy for connection during the COVID-19 pandemic","year":2022,"lang":"en","type":"article","venue":"","topic":"Privacy, Security, and Data Protection","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Carleton University","funders":"Natural Sciences and Engineering Research Council of Canada; Canada Research Chairs","keywords":"Internet privacy; Coronavirus disease 2019 (COVID-19); Download; Social media; Pandemic; Profiling (computer programming); Tracking (education); Psychology; 2019-20 coronavirus outbreak; Computer science; World Wide Web; Medicine","routes":{"ca_aff":true,"ca_fund":true,"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":[0.01245373,0.000398701,0.0004790713,0.0006032889,0.01078964,0.003865094,0.001112027,0.002931895,0.002192528],"category_scores_gemma":[0.02562606,0.0005827903,0.0003957624,0.0004237807,0.008156545,0.00595812,0.005224052,0.003558591,0.0003227914],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002387559,"about_ca_system_score_gemma":0.002278141,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00825943,"about_ca_topic_score_gemma":0.01513739,"domain_scores_codex":[0.9850913,0.01258261,0.0002674618,0.0004770188,0.0004746887,0.001106881],"domain_scores_gemma":[0.9849402,0.01048357,0.001452423,0.0003672593,0.0008725669,0.001883903],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00007841355,0.00004833486,0.008133534,0.0001110689,0.000008973296,0.001107505,0.9819126,0.00002757793,0.0006659303,0.00111457,0.001289299,0.005502262],"study_design_scores_gemma":[0.000005842472,0.00008251696,0.003447807,0.0001469279,0.000006914202,0.0004661887,0.9870793,0.00009152167,0.0001875725,0.0003854645,0.00807968,0.00002039063],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835967,0.0005980515,0.001704105,0.006756554,0.0001453537,0.0001039292,0.00006913368,0.00001677964,0.007009322],"genre_scores_gemma":[0.996205,0.0003309803,0.0008223234,0.001564244,0.00002926318,0.00007994043,0.00002594367,0.0000123984,0.0009300127],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01245373,"threshold_uncertainty_score":0.06586242,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06121741333984411,"score_gpt":0.3353620677092073,"score_spread":0.2741446543693632,"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."}}