{"id":"https://openalex.org/W2863494293","doi":null,"title":"User-Level Race and Ethnicity Predictors from Twitter Text","display_name":"User-Level Race and Ethnicity Predictors from Twitter Text","publication_year":2018,"publication_date":"2018-08-01","ids":{"openalex":"https://openalex.org/W2863494293","mag":"2863494293"},"language":"en","primary_location":{"id":"mag:2863494293","doi":null,"is_oa":false,"landing_page_url":"https://aclanthology.org/C18-1130/","pdf_url":null,"source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computational Linguistics","raw_type":null},"volume":null,"type":"conference-paper","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086173474","display_name":"Daniel Preo\u021biuc-Pietro","orcid":"https://orcid.org/0000-0002-4504-0212","observed_orcids":["https://orcid.org/0000-0002-4504-0212"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Daniel Preo\u0163iuc-Pietro","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, United States"],"raw_orcid":"https://orcid.org/0000-0002-4504-0212","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, United States","institution_ids":["https://openalex.org/I79576946"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044944954","display_name":"Lyle Ungar","orcid":"https://orcid.org/0000-0003-2047-1443","observed_orcids":["https://orcid.org/0000-0003-2047-1443"]},"institutions":[{"id":"https://openalex.org/I79576946","display_name":"University of Pennsylvania","ror":"https://ror.org/00b30xv10","country_code":"US","type":"education","lineage":["https://openalex.org/I79576946"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lyle Ungar","raw_affiliation_strings":["University of Pennsylvania, Philadelphia, United States"],"raw_orcid":"https://orcid.org/0000-0003-2047-1443","affiliations":[{"raw_affiliation_string":"University of Pennsylvania, Philadelphia, United States","institution_ids":["https://openalex.org/I79576946"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I79576946"],"apc_list":null,"apc_paid":null,"fwci":2.2199,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.91864982,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1534","last_page":"1545"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.8529999852180481,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.8529999852180481,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.06239999830722809,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.031599998474121094,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/race-prediction","display_name":"race prediction","score":0.7440000176429749},{"id":"https://openalex.org/keywords/ethnicity-prediction","display_name":"ethnicity prediction","score":0.9959999918937683},{"id":"https://openalex.org/keywords/demographic-inference","display_name":"demographic inference","score":0.7689999938011169},{"id":"https://openalex.org/keywords/tweets","display_name":"tweets","score":0.734000027179718},{"id":"https://openalex.org/keywords/self-reported-race","display_name":"self-reported race","score":0.6150000095367432},{"id":"https://openalex.org/keywords/social-media-text","display_name":"social media text","score":0.5519999861717224},{"id":"https://openalex.org/keywords/racial-and-ethnic-groups","display_name":"racial and ethnic groups","score":0.5789999961853027}],"concepts":[{"id":"https://openalex.org/C204854418","wikidata":"https://www.wikidata.org/wiki/Q1362921","display_name":"Polling","level":2,"score":0.8193118572235107},{"id":"https://openalex.org/C137403100","wikidata":"https://www.wikidata.org/wiki/Q41710","display_name":"Ethnic group","level":2,"score":0.8063896894454956},{"id":"https://openalex.org/C76509639","wikidata":"https://www.wikidata.org/wiki/Q918036","display_name":"Race (biology)","level":2,"score":0.7056952714920044},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6961175203323364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6471896171569824},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.5218961834907532},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.48156479001045227},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4693900942802429},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.4383409023284912},{"id":"https://openalex.org/C3017738328","wikidata":"https://www.wikidata.org/wiki/Q613366","display_name":"User group","level":2,"score":0.42302200198173523},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.361406147480011},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3375903069972992},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3291493058204651},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3165584206581116},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.28454071283340454},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.11903741955757141},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.10507526993751526},{"id":"https://openalex.org/C107993555","wikidata":"https://www.wikidata.org/wiki/Q1662673","display_name":"Gender studies","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2863494293","doi":null,"is_oa":false,"landing_page_url":"https://aclanthology.org/C18-1130/","pdf_url":null,"source":{"id":"https://openalex.org/S4306419219","display_name":"International Conference on Computational Linguistics","issn_l":"1525-2477","issn":["1525-2477"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["jufo-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"International Conference on Computational Linguistics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7390999794006348}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W9292421","https://openalex.org/W184758014","https://openalex.org/W400491622","https://openalex.org/W1209989990","https://openalex.org/W1575482759","https://openalex.org/W1880262756","https://openalex.org/W1948823840","https://openalex.org/W1966797434","https://openalex.org/W2017729405","https://openalex.org/W2040467972","https://openalex.org/W2079521622","https://openalex.org/W2119595472","https://openalex.org/W2120354757","https://openalex.org/W2121947440","https://openalex.org/W2122369144","https://openalex.org/W2132914434","https://openalex.org/W2138738738","https://openalex.org/W2141599568","https://openalex.org/W2142889507","https://openalex.org/W2144364794","https://openalex.org/W2158021796","https://openalex.org/W2162010436","https://openalex.org/W2162068690","https://openalex.org/W2166434810","https://openalex.org/W2167479345","https://openalex.org/W2250539671","https://openalex.org/W2250747954","https://openalex.org/W2251094674","https://openalex.org/W2251812186","https://openalex.org/W2252027930","https://openalex.org/W2286737780","https://openalex.org/W2295751151","https://openalex.org/W2404480901","https://openalex.org/W2405732212","https://openalex.org/W2466778245","https://openalex.org/W2468547970","https://openalex.org/W2508354372","https://openalex.org/W2511318808","https://openalex.org/W2567282614","https://openalex.org/W2607154244","https://openalex.org/W2740751204","https://openalex.org/W2882319491","https://openalex.org/W2964179938","https://openalex.org/W3157570421"],"related_works":["https://openalex.org/W3021767213","https://openalex.org/W2805153331","https://openalex.org/W2806700507","https://openalex.org/W4225114693","https://openalex.org/W2286737780","https://openalex.org/W3196875945","https://openalex.org/W797227816","https://openalex.org/W2607244462","https://openalex.org/W2394682549","https://openalex.org/W2251094674"],"abstract_inverted_index":{"User":[0],"demographic":[1,23],"inference":[2],"from":[3,68],"social":[4],"media":[5],"text":[6,69],"has":[7],"the":[8,73,79,96],"potential":[9],"to":[10,53,78,88,95],"improve":[11],"a":[12,39,49,76],"range":[13],"of":[14,42,75],"downstream":[15],"applications,":[16],"including":[17],"real-time":[18],"passive":[19],"polling":[20],"or":[21,61],"quantifying":[22],"bias.":[24],"This":[25],"study":[26],"focuses":[27],"on":[28],"developing":[29],"models":[30,67],"for":[31],"user-level":[32],"race":[33],"and":[34,83,91],"ethnicity":[35],"prediction.":[36],"We":[37,64],"introduce":[38],"data":[40,60],"set":[41],"users":[43],"who":[44],"self-report":[45],"their":[46],"race/ethnicity":[47],"through":[48],"survey,":[50],"in":[51],"contrast":[52],"previous":[54],"approaches":[55],"that":[56],"use":[57],"distantly":[58],"supervised":[59],"perceived":[62],"labels.":[63],"develop":[65],"predictive":[66],"which":[70],"accurately":[71],"predict":[72],"membership":[74],"user":[77],"four":[80],"largest":[81],"racial":[82],"ethnic":[84],"groups":[85],"with":[86],"up":[87],".884":[89],"AUC":[90],"make":[92],"these":[93],"available":[94],"research":[97],"community.":[98]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":9},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2018-07-19T00:00:00"}