{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.007562964,0.00007326095,0.0001669414,0.0003252885,0.0002619489,0.0001407641,0.0002359774,0.0001137976,0.00001282744],"category_scores_gemma":[0.000495419,0.00005838406,0.000025119,0.001083472,0.0002330801,0.0005545512,0.00003811677,0.0003213389,0.000005189722],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004117508,"about_ca_system_score_gemma":0.0001562136,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008309216,"about_ca_topic_score_gemma":0.001139985,"domain_scores_codex":[0.9982409,0.0002950429,0.0005032994,0.00005061203,0.0006192981,0.0002908548],"domain_scores_gemma":[0.998929,0.0006390585,0.00007897324,0.0001381902,0.0001474961,0.00006728678],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00000234277,0.00009645766,0.001120444,0.000266045,0.000009409306,0.000001729596,0.9181376,0.001148208,0.00001308558,0.05558455,0.0001442905,0.02347584],"study_design_scores_gemma":[0.0005685517,0.0002364744,0.1499757,0.000142955,0.00001010146,0.000001207043,0.3675595,0.4713936,0.00002749146,0.009186502,0.0007313314,0.000166573],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9883824,0.00000854245,0.0004893222,0.001472784,0.00004266029,0.0006111988,0.00002059111,0.00003637332,0.008936151],"genre_scores_gemma":[0.9980261,0.0004117751,0.001328424,0.00009083203,0.00004310603,0.00001657817,0.0000222196,0.000005638054,0.00005537651],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5505781,"threshold_uncertainty_score":0.2621188,"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."}}