{"id":"W4388010320","doi":"10.1016/j.tele.2023.102068","title":"Trapped in the search box: An examination of algorithmic bias in search engine autocomplete predictions","year":2023,"lang":"en","type":"article","venue":"Telematics and Informatics","topic":"Ethics and Social Impacts of AI","field":"Social Sciences","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"York University; University of Toronto","funders":"National Social Science Fund of China","keywords":"Computer science; Search engine; Disadvantaged; Black box; Debiasing; Artificial intelligence; Information retrieval; Psychology; Social psychology","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":[0.03125291,0.000296548,0.001002805,0.001697182,0.000978564,0.003347689,0.001664117,0.00187606,0.003518595],"category_scores_gemma":[0.2540919,0.0003293429,0.0005016776,0.001683919,0.003015414,0.005520567,0.0020396,0.002554523,0.0003002331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001199761,"about_ca_system_score_gemma":0.002482809,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00368433,"about_ca_topic_score_gemma":0.004466075,"domain_scores_codex":[0.9890354,0.006285746,0.0005050226,0.00136324,0.002304737,0.0005058456],"domain_scores_gemma":[0.6808914,0.2869186,0.01037797,0.01404908,0.006595537,0.001167462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.002319227,0.0007692478,0.3322801,0.0004512968,0.0007448052,0.0004658766,0.00436938,0.225493,0.003070435,0.2516393,0.008700224,0.1696971],"study_design_scores_gemma":[0.0001839515,0.0003680533,0.02645726,0.0001248083,0.0001274441,0.0002658868,0.001366011,0.7656833,0.002666487,0.2008093,0.001869947,0.00007768484],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9269704,0.0005573747,0.05794382,0.003666618,0.00006134932,0.000111063,0.0002772399,0.0002969594,0.01011526],"genre_scores_gemma":[0.9925508,0.00008737337,0.006218333,0.0003029562,0.00003139948,0.00003563657,0.0001297791,0.00006546821,0.000578322],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03125291,"threshold_uncertainty_score":0.1652831,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1541654609744414,"score_gpt":0.3988995628303217,"score_spread":0.2447341018558803,"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."}}