{"id":"https://openalex.org/W2803278180","doi":"https://doi.org/10.1080/19475683.2018.1471518","title":"Evaluating gender representativeness of location-based social media: a case study of Weibo","display_name":"Evaluating gender representativeness of location-based social media: a case study of Weibo","publication_year":2018,"publication_date":"2018-05-17","ids":{"openalex":"https://openalex.org/W2803278180","doi":"https://doi.org/10.1080/19475683.2018.1471518","mag":"2803278180"},"language":"en","primary_location":{"id":"doi:10.1080/19475683.2018.1471518","is_oa":true,"landing_page_url":"https://doi.org/10.1080/19475683.2018.1471518","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/19475683.2018.1471518?needAccess=true","source":{"id":"https://openalex.org/S4210199948","display_name":"Annals of GIS","issn_l":"1947-5683","issn":["1947-5683","1947-5691"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of GIS","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://www.tandfonline.com/doi/pdf/10.1080/19475683.2018.1471518?needAccess=true","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5044707397","display_name":"Yihong Yuan","orcid":"https://orcid.org/0000-0001-6266-9744"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yihong Yuan","raw_affiliation_strings":[",","Department of Geography, Texas State University, San Marcos, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Department of Geography, Texas State University, San Marcos, TX, USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079647969","display_name":"Guixing Wei","orcid":"https://orcid.org/0000-0003-4049-9558"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Guixing Wei","raw_affiliation_strings":[",","Department of Geography, Texas State University, San Marcos, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Department of Geography, Texas State University, San Marcos, TX, USA","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009571807","display_name":"Yongmei Lu","orcid":"https://orcid.org/0000-0003-1994-3458"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yongmei Lu","raw_affiliation_strings":[",","Department of Geography, Texas State University, San Marcos, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":",","institution_ids":[]},{"raw_affiliation_string":"Department of Geography, Texas State University, San Marcos, TX, USA","institution_ids":["https://openalex.org/I13511017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044707397"],"corresponding_institution_ids":["https://openalex.org/I13511017"],"apc_list":{"value":1500,"currency":"USD","value_usd":1500},"apc_paid":null,"fwci":5.5688,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.94646375,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"24","issue":"3","first_page":"163","last_page":"176"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.9811000227928162,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10757","display_name":"Geographic Information Systems Studies","score":0.9782999753952026,"subfield":{"id":"https://openalex.org/subfields/3305","display_name":"Geography, Planning and Development"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/representativeness-heuristic","display_name":"Representativeness heuristic","score":0.8927237391471863},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.7797109484672546},{"id":"https://openalex.org/keywords/microblogging","display_name":"Microblogging","score":0.7723259925842285},{"id":"https://openalex.org/keywords/sampling-bias","display_name":"Sampling bias","score":0.5905407667160034},{"id":"https://openalex.org/keywords/china","display_name":"China","score":0.5100942254066467},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.4816919267177582},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.47286105155944824},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4583352208137512},{"id":"https://openalex.org/keywords/data-pre-processing","display_name":"Data pre-processing","score":0.4525260031223297},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4305300712585449},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.4304826259613037},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.41315895318984985},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.2753879129886627},{"id":"https://openalex.org/keywords/sample-size-determination","display_name":"Sample size determination","score":0.2739955484867096},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.264712393283844},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2189686894416809},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.21564871072769165},{"id":"https://openalex.org/keywords/social-psychology","display_name":"Social psychology","score":0.1563589870929718},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.13424721360206604},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.12678292393684387},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09827569127082825}],"concepts":[{"id":"https://openalex.org/C37381756","wikidata":"https://www.wikidata.org/wiki/Q20203288","display_name":"Representativeness heuristic","level":2,"score":0.8927237391471863},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.7797109484672546},{"id":"https://openalex.org/C143275388","wikidata":"https://www.wikidata.org/wiki/Q92438","display_name":"Microblogging","level":3,"score":0.7723259925842285},{"id":"https://openalex.org/C75917345","wikidata":"https://www.wikidata.org/wiki/Q2725298","display_name":"Sampling bias","level":3,"score":0.5905407667160034},{"id":"https://openalex.org/C191935318","wikidata":"https://www.wikidata.org/wiki/Q148","display_name":"China","level":2,"score":0.5100942254066467},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.4816919267177582},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.47286105155944824},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4583352208137512},{"id":"https://openalex.org/C10551718","wikidata":"https://www.wikidata.org/wiki/Q5227332","display_name":"Data pre-processing","level":2,"score":0.4525260031223297},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4305300712585449},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.4304826259613037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41315895318984985},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.2753879129886627},{"id":"https://openalex.org/C129848803","wikidata":"https://www.wikidata.org/wiki/Q2564360","display_name":"Sample size determination","level":2,"score":0.2739955484867096},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.264712393283844},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2189686894416809},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.21564871072769165},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.1563589870929718},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.13424721360206604},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12678292393684387},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09827569127082825},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/19475683.2018.1471518","is_oa":true,"landing_page_url":"https://doi.org/10.1080/19475683.2018.1471518","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/19475683.2018.1471518?needAccess=true","source":{"id":"https://openalex.org/S4210199948","display_name":"Annals of GIS","issn_l":"1947-5683","issn":["1947-5683","1947-5691"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of GIS","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1080/19475683.2018.1471518","is_oa":true,"landing_page_url":"https://doi.org/10.1080/19475683.2018.1471518","pdf_url":"https://www.tandfonline.com/doi/pdf/10.1080/19475683.2018.1471518?needAccess=true","source":{"id":"https://openalex.org/S4210199948","display_name":"Annals of GIS","issn_l":"1947-5683","issn":["1947-5683","1947-5691"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of GIS","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2803278180.pdf"},"referenced_works_count":90,"referenced_works":["https://openalex.org/W9292421","https://openalex.org/W42772147","https://openalex.org/W79109671","https://openalex.org/W110918106","https://openalex.org/W124608906","https://openalex.org/W172122283","https://openalex.org/W584790758","https://openalex.org/W636908629","https://openalex.org/W1516184288","https://openalex.org/W1539347205","https://openalex.org/W1541525934","https://openalex.org/W1549129071","https://openalex.org/W1599043334","https://openalex.org/W1599710294","https://openalex.org/W1832441260","https://openalex.org/W1845748792","https://openalex.org/W1848256488","https://openalex.org/W1927671444","https://openalex.org/W1959616313","https://openalex.org/W1970433929","https://openalex.org/W1976840258","https://openalex.org/W1978231807","https://openalex.org/W1981229576","https://openalex.org/W1981847139","https://openalex.org/W1986050349","https://openalex.org/W2006620598","https://openalex.org/W2013621326","https://openalex.org/W2017053662","https://openalex.org/W2017917631","https://openalex.org/W2028329245","https://openalex.org/W2030214288","https://openalex.org/W2034636363","https://openalex.org/W2039350330","https://openalex.org/W2041427899","https://openalex.org/W2052611239","https://openalex.org/W2060133255","https://openalex.org/W2063205814","https://openalex.org/W2073072860","https://openalex.org/W2086645750","https://openalex.org/W2088753141","https://openalex.org/W2095571984","https://openalex.org/W2102861780","https://openalex.org/W2110953678","https://openalex.org/W2112620321","https://openalex.org/W2116192265","https://openalex.org/W2118480788","https://openalex.org/W2119595472","https://openalex.org/W2125761757","https://openalex.org/W2127848524","https://openalex.org/W2128059640","https://openalex.org/W2129619420","https://openalex.org/W2136163743","https://openalex.org/W2136971460","https://openalex.org/W2146527955","https://openalex.org/W2147178406","https://openalex.org/W2156572918","https://openalex.org/W2158432188","https://openalex.org/W2159193292","https://openalex.org/W2164061616","https://openalex.org/W2165733893","https://openalex.org/W2167102709","https://openalex.org/W2180940404","https://openalex.org/W2270993793","https://openalex.org/W2313661242","https://openalex.org/W2398350456","https://openalex.org/W2436478361","https://openalex.org/W2481817459","https://openalex.org/W2484229934","https://openalex.org/W2519380210","https://openalex.org/W2529101452","https://openalex.org/W2529244072","https://openalex.org/W2603037410","https://openalex.org/W2616761812","https://openalex.org/W2726231919","https://openalex.org/W2762271753","https://openalex.org/W3122605581","https://openalex.org/W3125448378","https://openalex.org/W3165771198","https://openalex.org/W4205241946","https://openalex.org/W4229554550","https://openalex.org/W4229655094","https://openalex.org/W4234707751","https://openalex.org/W4237357809","https://openalex.org/W4239545644","https://openalex.org/W4243749290","https://openalex.org/W4247387493","https://openalex.org/W4250948215","https://openalex.org/W4252093526","https://openalex.org/W4253924955","https://openalex.org/W4255059653"],"related_works":["https://openalex.org/W2989490741","https://openalex.org/W3092506759","https://openalex.org/W2367545121","https://openalex.org/W4248881655","https://openalex.org/W2482165163","https://openalex.org/W3010890513","https://openalex.org/W120741642","https://openalex.org/W138569904","https://openalex.org/W2390914021","https://openalex.org/W2389417819"],"abstract_inverted_index":{"Researchers":[0],"have":[1,30,50],"utilized":[2],"location-based":[3],"social":[4,16],"media":[5],"(LBSM)":[6],"as":[7,35],"potential":[8,159],"resources":[9],"to":[10,21,61,77,109,142,145,157],"characterize":[11],"daily":[12],"mobility":[13],"patterns":[14],"and":[15,40,89,136,166],"perceptions":[17],"of":[18,24,67,97],"place.":[19],"Similar":[20],"other":[22,143],"types":[23],"big":[25],"data,":[26],"LBSM":[27,56,144],"data":[28,154],"also":[29,115,151],"differential":[31],"data-quality":[32],"issues":[33,49],"such":[34],"accuracy,":[36],"precision,":[37],"temporal":[38],"resolution,":[39],"sampling":[41,65],"biases":[42,66,133],"across":[43],"various":[44],"population":[45],"groups.":[46],"However,":[47],"these":[48],"not":[51],"been":[52],"investigated":[53],"sufficiently":[54],"for":[55,121],"users.":[57],"This":[58,149],"research":[59,160],"aims":[60],"quantitatively":[62],"examine":[63],"the":[64,84,137],"a":[68,117,153],"Chinese":[69],"microblogging":[70],"site,":[71],"Weibo,":[72,135],"which":[73],"is":[74],"functionally":[75],"similar":[76],"Twitter.":[78],"The":[79,99,125],"analysis":[80],"focuses":[81],"on":[82],"investigating":[83],"bias":[85,92],"in":[86,94,103,112,130,134,162],"gender":[87,123,167],"groups,":[88],"how":[90],"this":[91],"varies/autocorrelates":[93],"different":[95],"provinces":[96],"China.":[98,113],"results":[100,126],"indicate":[101],"that":[102],"general,":[104],"women":[105],"are":[106],"more":[107],"likely":[108],"use":[110],"Weibo":[111,122],"We":[114],"detected":[116],"strong":[118],"regional":[119,164],"pattern":[120],"ratios.":[124],"provide":[127],"valuable":[128],"input":[129],"quantifying":[131],"demographic":[132],"methodology":[138],"can":[139],"be":[140],"applied":[141],"analyse":[146],"sample":[147],"biases.":[148],"study":[150],"offers":[152],"preprocessing":[155],"strategy":[156],"identify":[158],"questions":[161],"sociology,":[163],"science,":[165],"studies.":[168]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-10T14:10:52.464848","created_date":"2025-10-10T00:00:00"}
