{"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":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001239094,0.00007745914,0.0001170473,0.0001005315,0.001413737,0.00008195169,0.0002608217,0.00003675992,0.0001153973],"category_scores_gemma":[0.0008556104,0.00005737898,0.000034826,0.0002065818,0.00007780835,0.000619192,0.0001347324,0.00008387029,4.416196e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002093469,"about_ca_system_score_gemma":0.0001631657,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001337694,"about_ca_topic_score_gemma":0.001431277,"domain_scores_codex":[0.9991153,0.00007972569,0.0002127349,0.0001446997,0.0002429393,0.0002045369],"domain_scores_gemma":[0.9992227,0.0003385179,0.0001314079,0.000147964,0.00005886946,0.0001005665],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.002784024,0.0001567424,0.01641802,0.0007518159,0.0002623336,6.662195e-7,0.8386976,0.0008559215,0.003075508,0.1097125,0.02028357,0.007001319],"study_design_scores_gemma":[0.00262407,0.0006326998,0.00184093,0.00001213043,0.00007710907,0.00002034525,0.1583027,0.002554194,0.0007740041,0.007692853,0.8251798,0.0002892131],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8970451,0.00002505854,0.08020645,0.01783147,0.0002615365,0.002986211,0.0002572262,0.0001423178,0.001244625],"genre_scores_gemma":[0.9971327,0.00002270347,0.0008373725,0.00114012,0.00007217698,0.000576203,0.00003570216,0.000005569261,0.0001774649],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8048962,"threshold_uncertainty_score":0.9998863,"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."}}