{"id":"https://openalex.org/W2953088889","doi":"https://doi.org/10.1145/3328526.3329582","title":"The Congressional Classification Challenge","display_name":"The Congressional Classification Challenge","publication_year":2019,"publication_date":"2019-06-17","ids":{"openalex":"https://openalex.org/W2953088889","doi":"https://doi.org/10.1145/3328526.3329582","mag":"2953088889"},"language":"en","primary_location":{"id":"doi:10.1145/3328526.3329582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3328526.3329582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM Conference on Economics and Computation","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Hao Yan","orcid":null},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hao Yan","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046273513","display_name":"Sanmay Das","orcid":"https://orcid.org/0000-0002-6814-871X"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sanmay Das","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079488386","display_name":"Allen Lavoie","orcid":null},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Allen Lavoie","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100701504","display_name":"Sirui Li","orcid":"https://orcid.org/0000-0002-2504-3790"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sirui Li","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038167054","display_name":"Betsy Sinclair","orcid":null},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Betsy Sinclair","raw_affiliation_strings":["Washington University in St. Louis, St. Louis, MO, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"71","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13718","display_name":"Media Influence and Politics","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13718","display_name":"Media Influence and Politics","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10557","display_name":"Social Media and Politics","score":0.9866999983787537,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9829999804496765,"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/generalizability-theory","display_name":"Generalizability theory","score":0.796700119972229},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7296108603477478},{"id":"https://openalex.org/keywords/ideology","display_name":"Ideology","score":0.6489138007164001},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.5205960273742676},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.5193291902542114},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4871232509613037},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4498530626296997},{"id":"https://openalex.org/keywords/proxy","display_name":"Proxy (statistics)","score":0.446522057056427},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4453132748603821},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4111332893371582},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3690081536769867},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.349369078874588},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.34041324257850647},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3273507356643677},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1975994110107422},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16468313336372375},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.12174519896507263},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.09668570756912231}],"concepts":[{"id":"https://openalex.org/C27158222","wikidata":"https://www.wikidata.org/wiki/Q5532422","display_name":"Generalizability theory","level":2,"score":0.796700119972229},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7296108603477478},{"id":"https://openalex.org/C158071213","wikidata":"https://www.wikidata.org/wiki/Q7257","display_name":"Ideology","level":3,"score":0.6489138007164001},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.5205960273742676},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.5193291902542114},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4871232509613037},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4498530626296997},{"id":"https://openalex.org/C2780148112","wikidata":"https://www.wikidata.org/wiki/Q1432581","display_name":"Proxy (statistics)","level":2,"score":0.446522057056427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4453132748603821},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4111332893371582},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3690081536769867},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.349369078874588},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.34041324257850647},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3273507356643677},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1975994110107422},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16468313336372375},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.12174519896507263},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.09668570756912231},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C138496976","wikidata":"https://www.wikidata.org/wiki/Q175002","display_name":"Developmental psychology","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3328526.3329582","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3328526.3329582","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 ACM Conference on Economics and Computation","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W22861983","https://openalex.org/W68298479","https://openalex.org/W71795751","https://openalex.org/W1119807432","https://openalex.org/W1508666480","https://openalex.org/W1516184288","https://openalex.org/W1559198035","https://openalex.org/W1580899010","https://openalex.org/W1608714737","https://openalex.org/W1686065478","https://openalex.org/W1880262756","https://openalex.org/W1889268436","https://openalex.org/W1967807490","https://openalex.org/W2021146226","https://openalex.org/W2041314074","https://openalex.org/W2042809507","https://openalex.org/W2060704337","https://openalex.org/W2061398598","https://openalex.org/W2095655043","https://openalex.org/W2101234009","https://openalex.org/W2102498033","https://openalex.org/W2105684571","https://openalex.org/W2107393946","https://openalex.org/W2116349124","https://openalex.org/W2117804386","https://openalex.org/W2119290332","https://openalex.org/W2127492100","https://openalex.org/W2134979990","https://openalex.org/W2145767445","https://openalex.org/W2146077549","https://openalex.org/W2161834943","https://openalex.org/W2166119588","https://openalex.org/W2188945537","https://openalex.org/W2251738400","https://openalex.org/W2251939518","https://openalex.org/W2330659357","https://openalex.org/W2506486438","https://openalex.org/W2559997609","https://openalex.org/W2561161178","https://openalex.org/W2563178664","https://openalex.org/W2610886376","https://openalex.org/W2891649320","https://openalex.org/W2949821452","https://openalex.org/W2950577311","https://openalex.org/W2998115938","https://openalex.org/W3022516804","https://openalex.org/W3121230774","https://openalex.org/W3125380295","https://openalex.org/W6675354045"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2341842940","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W1993948687","https://openalex.org/W2008630378","https://openalex.org/W2059640416"],"abstract_inverted_index":{"In":[0,24],"this":[1,197],"paper,":[2],"we":[3,26,96,145,201,214,260],"study":[4],"the":[5,19,41,65,99,104,121,152,155,165,192,257],"effectiveness":[6],"and":[7,14,71,75,78,81,157,174,211,256,259],"generalizability":[8],"of":[9,21,33,47,60,110,133,154,246],"techniques":[10],"for":[11,53],"classifying":[12],"partisanship":[13,34,272],"ideology":[15,224,274],"from":[16,63,108,142,164,189,269],"text":[17,83],"in":[18,29,116,126,267],"context":[20],"US":[22],"politics.":[23],"particular,":[25],"are":[27,229],"interested":[28],"how":[30],"well":[31,39,125],"measures":[32,46],"transfer":[35],"across":[36,172,205,242,275],"domains":[37],"as":[38,40,50],"potential":[42],"to":[43,86,106,113,150,187,191,195,271],"rely":[44],"upon":[45],"partisan":[48],"intensity":[49],"a":[51,91,176,249],"proxy":[52],"political":[54],"ideology.":[55],"We":[56],"construct":[57],"novel":[58],"datasets":[59,112],"English":[61],"texts":[62],"(1)":[64],"Congressional":[66,166,209],"Record,":[67],"(2)":[68],"prominent":[69],"conservative":[70,77],"liberal":[72,79],"media":[73,156,207],"websites,":[74],"(3)":[76],"wikis,":[80],"apply":[82],"classification":[84],"algorithms":[85,122],"evaluate":[87],"domain":[88,92],"specificity":[89],"via":[90],"adaptation":[93],"technique.":[94],"Surprisingly,":[95],"find":[97,147,215],"that":[98,216],"cross-domain":[100],"learning":[101],"performance,":[102],"benchmarking":[103],"ability":[105,149],"generalize":[107],"one":[109],"these":[111],"another,":[114],"is":[115,135,170,220,225,248],"general":[117],"poor,":[118],"even":[119],"though":[120],"perform":[123],"very":[124],"within-dataset":[127],"cross-validation":[128,182],"tests.":[129],"While":[130],"party":[131,218,239],"affiliation":[132,219],"legislators":[134,203,255],"not":[136],"predictable":[137,178],"based":[138,160,179],"on":[139,161,180],"models":[140,162],"learned":[141,163],"other":[143],"sources,":[144],"do":[146],"some":[148],"predict":[151],"leanings":[153],"crowdsourced":[158],"websites":[159],"Record.":[167],"This":[168],"predictivity":[169],"different":[171,206,231,234],"topics,":[173],"itself":[175],"priori":[177],"within-topic":[181],"results.":[183],"Temporally,":[184],"phrases":[185],"tend":[186],"move":[188],"politicians":[190],"media,":[193,258],"helping":[194],"explain":[196],"predictivity.":[198],"Finally,":[199],"when":[200],"compare":[202],"themselves":[204],"(the":[208],"Record":[210],"press":[212],"releases),":[213],"while":[217,236],"highly":[221],"predictable,":[222],"within-party":[223],"completely":[226],"unpredictable.":[227],"Legislators":[228],"communicating":[230],"messages":[232],"through":[233],"channels":[235],"clearly":[237,250],"signaling":[238],"identity":[240],"systematically":[241],"all":[243],"channels.":[244],"Choice":[245],"language":[247,270],"strategic":[251],"act,":[252],"among":[253],"both":[254],"must":[261],"therefore":[262],"proceed":[263],"with":[264],"extreme":[265],"caution":[266],"extrapolating":[268],"or":[273],"domains.":[276]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
