{"id":"https://openalex.org/W2740932765","doi":"https://doi.org/10.18653/v1/w17-2912","title":"How Does Twitter User Behavior Vary Across Demographic Groups?","display_name":"How Does Twitter User Behavior Vary Across Demographic Groups?","publication_year":2017,"publication_date":"2017-01-01","ids":{"openalex":"https://openalex.org/W2740932765","doi":"https://doi.org/10.18653/v1/w17-2912","mag":"2740932765"},"language":"en","primary_location":{"id":"doi:10.18653/v1/w17-2912","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2912","pdf_url":"https://www.aclweb.org/anthology/W17-2912.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second Workshop on NLP and Computational Social Science","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.aclweb.org/anthology/W17-2912.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5059956805","display_name":"Zach Wood-Doughty","orcid":null},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zach Wood-Doughty","raw_affiliation_strings":["Center for Language and Speech Processing Johns Hopkins University, Baltimore, MD 21218"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing Johns Hopkins University, Baltimore, MD 21218","institution_ids":["https://openalex.org/I145311948"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971324","display_name":"Michael C. Smith","orcid":"https://orcid.org/0000-0002-1200-0855"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Smith","raw_affiliation_strings":["Department of Engineering Management and Systems Engineering George Washington University, Washington, DC 20052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Management and Systems Engineering George Washington University, Washington, DC 20052","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073231714","display_name":"David Broniatowski","orcid":"https://orcid.org/0000-0002-3302-9497"},"institutions":[{"id":"https://openalex.org/I193531525","display_name":"George Washington University","ror":"https://ror.org/00y4zzh67","country_code":"US","type":"education","lineage":["https://openalex.org/I193531525"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"David Broniatowski","raw_affiliation_strings":["Department of Engineering Management and Systems Engineering George Washington University, Washington, DC 20052"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Engineering Management and Systems Engineering George Washington University, Washington, DC 20052","institution_ids":["https://openalex.org/I193531525"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024437840","display_name":"Mark Dredze","orcid":"https://orcid.org/0000-0002-0422-2474"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mark Dredze","raw_affiliation_strings":["Center for Language and Speech Processing Johns Hopkins University, Baltimore, MD 21218"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Language and Speech Processing Johns Hopkins University, Baltimore, MD 21218","institution_ids":["https://openalex.org/I145311948"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5059956805"],"corresponding_institution_ids":["https://openalex.org/I145311948"],"apc_list":null,"apc_paid":null,"fwci":1.249,"has_fulltext":true,"cited_by_count":27,"citation_normalized_percentile":{"value":0.85202644,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"83","last_page":"89"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12380","display_name":"Authorship Attribution and Profiling","score":0.9987999796867371,"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":0.9987999796867371,"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/T12592","display_name":"Opinion Dynamics and Social Influence","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10064","display_name":"Complex Network Analysis Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6938360929489136},{"id":"https://openalex.org/keywords/age-groups","display_name":"Age groups","score":0.5361151099205017},{"id":"https://openalex.org/keywords/social-group","display_name":"Social group","score":0.5122596621513367},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4952620565891266},{"id":"https://openalex.org/keywords/user-group","display_name":"User group","score":0.41683048009872437},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3559185266494751},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3285664916038513},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.28664934635162354},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.16551828384399414},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.14429762959480286},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.09267750382423401}],"concepts":[{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6938360929489136},{"id":"https://openalex.org/C2986834420","wikidata":"https://www.wikidata.org/wiki/Q5932254","display_name":"Age groups","level":2,"score":0.5361151099205017},{"id":"https://openalex.org/C180872759","wikidata":"https://www.wikidata.org/wiki/Q874405","display_name":"Social group","level":2,"score":0.5122596621513367},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4952620565891266},{"id":"https://openalex.org/C3017738328","wikidata":"https://www.wikidata.org/wiki/Q613366","display_name":"User group","level":2,"score":0.41683048009872437},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3559185266494751},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3285664916038513},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.28664934635162354},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.16551828384399414},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.14429762959480286},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.09267750382423401}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/w17-2912","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2912","pdf_url":"https://www.aclweb.org/anthology/W17-2912.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second Workshop on NLP and Computational Social Science","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/w17-2912","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/w17-2912","pdf_url":"https://www.aclweb.org/anthology/W17-2912.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Second Workshop on NLP and Computational Social Science","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4099999964237213,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G5506780459","display_name":null,"funder_award_id":"5R01GM114771","funder_id":"https://openalex.org/F4320337354","funder_display_name":"National Institute of General Medical Sciences"}],"funders":[{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2740932765.pdf","grobid_xml":"https://content.openalex.org/works/W2740932765.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W9292421","https://openalex.org/W184758014","https://openalex.org/W436581396","https://openalex.org/W797227816","https://openalex.org/W797920393","https://openalex.org/W942678457","https://openalex.org/W963972349","https://openalex.org/W1893888233","https://openalex.org/W1911614088","https://openalex.org/W1973603435","https://openalex.org/W2000098541","https://openalex.org/W2001653897","https://openalex.org/W2021278340","https://openalex.org/W2097945077","https://openalex.org/W2119595472","https://openalex.org/W2132365412","https://openalex.org/W2140173168","https://openalex.org/W2144364794","https://openalex.org/W2152428018","https://openalex.org/W2167102709","https://openalex.org/W2208848684","https://openalex.org/W2250747954","https://openalex.org/W2252191003","https://openalex.org/W2286737780","https://openalex.org/W2296291818","https://openalex.org/W2394682549","https://openalex.org/W2467321947","https://openalex.org/W2567282614","https://openalex.org/W2796399081","https://openalex.org/W2963929297"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W1977056376","https://openalex.org/W1990545028","https://openalex.org/W4312622923","https://openalex.org/W2107786128","https://openalex.org/W2728430307","https://openalex.org/W4383100604","https://openalex.org/W2026957021","https://openalex.org/W3094774592","https://openalex.org/W2819638497"],"abstract_inverted_index":{"Demographically-tagged":[0],"social":[1,12],"media":[2],"messages":[3,16],"are":[4],"a":[5,31,47],"common":[6],"source":[7],"of":[8,34,50,58,78],"data":[9],"for":[10],"computational":[11],"science.":[13],"While":[14],"these":[15,85],"can":[17],"indicate":[18],"differences":[19,83,96],"in":[20,84,97],"beliefs":[21],"and":[22,73],"behaviors":[23,54],"between":[24],"demographic":[25,37,71,88,100],"groups,":[26,89],"we":[27],"do":[28],"not":[29],"have":[30],"clear":[32],"understanding":[33],"how":[35,51,98],"different":[36,99],"groups":[38,60,101],"use":[39,102],"platforms":[40],"such":[41],"as":[42],"Twitter.":[43,103],"This":[44],"paper":[45],"presents":[46],"preliminary":[48],"analysis":[49],"groups'":[52],"differing":[53],"may":[55,93],"confound":[56],"analyses":[57],"the":[59],"themselves.":[61],"We":[62,81],"analyzed":[63],"one":[64],"million":[65],"Twitter":[66,79],"users":[67],"by":[68],"first":[69],"inferring":[70],"attributes,":[72],"then":[74],"measuring":[75],"several":[76],"indicators":[77,86],"behavior.":[80],"find":[82],"across":[87],"suggesting":[90],"that":[91],"there":[92],"be":[94],"underlying":[95]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":7},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":4}],"updated_date":"2026-05-08T15:41:06.802602","created_date":"2025-10-10T00:00:00"}