{"id":"https://openalex.org/W3023671824","doi":"https://doi.org/10.1145/3366423.3380200","title":"Becoming the Super Turker:Increasing Wages via a Strategy from High Earning Workers","display_name":"Becoming the Super Turker:Increasing Wages via a Strategy from High Earning Workers","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3023671824","doi":"https://doi.org/10.1145/3366423.3380200","mag":"3023671824"},"language":"en","primary_location":{"id":"doi:10.1145/3366423.3380200","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380200","pdf_url":null,"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 Web Conference 2020","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3366423.3380200","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5085864488","display_name":"Saiph Savage","orcid":"https://orcid.org/0000-0001-9020-8929"},"institutions":[{"id":"https://openalex.org/I8961855","display_name":"Universidad Nacional Aut\u00f3noma de M\u00e9xico","ror":"https://ror.org/01tmp8f25","country_code":"MX","type":"education","lineage":["https://openalex.org/I8961855"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Saiph Savage","raw_affiliation_strings":["Universidad Nacional Autonoma de Mexico (UNAM), Mexico"],"affiliations":[{"raw_affiliation_string":"Universidad Nacional Autonoma de Mexico (UNAM), Mexico","institution_ids":["https://openalex.org/I8961855"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110788624","display_name":"Chun Wei Chiang","orcid":null},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun Wei Chiang","raw_affiliation_strings":["West Virginia University, USA"],"affiliations":[{"raw_affiliation_string":"West Virginia University, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024566838","display_name":"Susumu Saito","orcid":"https://orcid.org/0000-0003-2684-7018"},"institutions":[{"id":"https://openalex.org/I150744194","display_name":"Waseda University","ror":"https://ror.org/00ntfnx83","country_code":"JP","type":"education","lineage":["https://openalex.org/I150744194"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Susumu Saito","raw_affiliation_strings":["Waseda University, Japan"],"affiliations":[{"raw_affiliation_string":"Waseda University, Japan","institution_ids":["https://openalex.org/I150744194"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052527043","display_name":"Carlos Toxtli","orcid":"https://orcid.org/0000-0002-9430-2661"},"institutions":[{"id":"https://openalex.org/I12097938","display_name":"West Virginia University","ror":"https://ror.org/011vxgd24","country_code":"US","type":"education","lineage":["https://openalex.org/I12097938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos Toxtli","raw_affiliation_strings":["West Virginia University, USA"],"affiliations":[{"raw_affiliation_string":"West Virginia University, USA","institution_ids":["https://openalex.org/I12097938"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5082603621","display_name":"Jeffrey P. Bigham","orcid":"https://orcid.org/0000-0002-2072-0625"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jeffrey Bigham","raw_affiliation_strings":["Carnegie Mellon University, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, USA","institution_ids":["https://openalex.org/I74973139"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5085864488"],"corresponding_institution_ids":["https://openalex.org/I8961855"],"apc_list":null,"apc_paid":null,"fwci":6.1191,"has_fulltext":false,"cited_by_count":38,"citation_normalized_percentile":{"value":0.96230914,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1241","last_page":"1252"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/1706","display_name":"Computer Science Applications"},"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/T11182","display_name":"Auction Theory and Applications","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T12501","display_name":"Digital Economy and Work Transformation","score":0.9901999831199646,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/labour-economics","display_name":"Labour economics","score":0.49410727620124817},{"id":"https://openalex.org/keywords/business","display_name":"Business","score":0.40658217668533325},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.3987717628479004},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.27700233459472656}],"concepts":[{"id":"https://openalex.org/C145236788","wikidata":"https://www.wikidata.org/wiki/Q28161","display_name":"Labour economics","level":1,"score":0.49410727620124817},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.40658217668533325},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3987717628479004},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.27700233459472656}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3366423.3380200","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380200","pdf_url":null,"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 Web Conference 2020","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3366423.3380200","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3366423.3380200","pdf_url":null,"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 Web Conference 2020","raw_type":"proceedings-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/8","score":0.7799999713897705,"display_name":"Decent work and economic growth"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W582105637","https://openalex.org/W1681309541","https://openalex.org/W1987523869","https://openalex.org/W2007018772","https://openalex.org/W2010260400","https://openalex.org/W2014100104","https://openalex.org/W2043871507","https://openalex.org/W2055699460","https://openalex.org/W2060424605","https://openalex.org/W2090048052","https://openalex.org/W2108598243","https://openalex.org/W2114269021","https://openalex.org/W2124259158","https://openalex.org/W2137413967","https://openalex.org/W2144179036","https://openalex.org/W2147603330","https://openalex.org/W2156656344","https://openalex.org/W2166345396","https://openalex.org/W2167548713","https://openalex.org/W2168583926","https://openalex.org/W2248761606","https://openalex.org/W2276569499","https://openalex.org/W2398514781","https://openalex.org/W2399394062","https://openalex.org/W2400269077","https://openalex.org/W2404573916","https://openalex.org/W2490285409","https://openalex.org/W2520168886","https://openalex.org/W2571223366","https://openalex.org/W2756079620","https://openalex.org/W2767057583","https://openalex.org/W2767834322","https://openalex.org/W2777647957","https://openalex.org/W2788969155","https://openalex.org/W2798448420","https://openalex.org/W2804811628","https://openalex.org/W2811371717","https://openalex.org/W2894726823","https://openalex.org/W2898764742","https://openalex.org/W2903257353","https://openalex.org/W2911656801","https://openalex.org/W2912015266","https://openalex.org/W2921189238","https://openalex.org/W2921524648","https://openalex.org/W2941417947","https://openalex.org/W2957654274","https://openalex.org/W2974398320","https://openalex.org/W2987003572","https://openalex.org/W2988983801","https://openalex.org/W2999071598","https://openalex.org/W3004528080","https://openalex.org/W3100373746","https://openalex.org/W3100621770","https://openalex.org/W3102912458","https://openalex.org/W3105859607","https://openalex.org/W3126123353","https://openalex.org/W3149399274"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Crowd":[0],"markets":[1,53],"have":[2,44,122],"traditionally":[3],"limited":[4],"workers":[5,29,60,92,107,238,247,269],"by":[6,97,131,210],"not":[7],"providing":[8],"transparency":[9,50,83,100,128,180,259],"information":[10],"concerning":[11],"which":[12,17],"tasks":[13,209],"pay":[14],"fairly":[15],"or":[16],"requesters":[18],"are":[19],"unreliable.":[20],"Researchers":[21],"believe":[22,118],"that":[23,73,119,140,174,215,232,245],"a":[24,41,135,161,169,184],"key":[25],"reason":[26],"why":[27],"crowd":[28,52,106,237,268],"earn":[30,66,109,271],"low":[31],"wages":[32,225],"is":[33,77,141],"due":[34],"to":[35,47,54,81,166,196,235,249,270],"this":[36,86,156,192,219],"lack":[37],"of":[38,102],"transparency.":[39],"As":[40],"result,":[42],"tools":[43,253],"been":[45],"developed":[46,123],"provide":[48],"more":[49],"within":[51],"help":[55,150],"workers.":[56],"However,":[57],"while":[58],"most":[59],"use":[61,82,177,251],"these":[62],"tools,":[63],"they":[64],"still":[65],"less":[67],"than":[68,226],"minimum":[69],"wage.":[70],"We":[71,117,213,261],"argue":[72],"the":[74,99,252],"missing":[75],"element":[76],"guidance":[78],"on":[79,112,200],"how":[80,90,248],"information.":[84,129],"In":[85],"paper,":[87],"we":[88,148],"explore":[89],"novice":[91],"can":[93,149],"improve":[94],"their":[95,153,255],"earnings":[96],"following":[98],"criteria":[101,138,173,195,222],"Super":[103,120,136,146,175,193,220],"Turkers,":[104],"i.e.,":[105],"who":[108,190,217],"higher":[110,272],"salaries":[111],"Amazon":[113],"Mechanical":[114],"Turk":[115],"(MTurk).":[116],"Turkers":[121,176],"effective":[124],"processes":[125],"for":[126,178,266],"using":[127],"Therefore,":[130],"having":[132],"novices":[133,151,189,216],"follow":[134],"Turker":[137,194],"(one":[139],"simple":[142,170],"and":[143,163,254],"popular":[144],"among":[145],"Turkers),":[147],"increase":[152],"wages.":[154],"For":[155],"purpose,":[157],"we:":[158],"(i)":[159],"conducted":[160],"survey":[162],"data":[164],"analysis":[165],"computationally":[167],"identify":[168],"yet":[171],"common":[172],"handling":[179],"tools;":[181],"(ii)":[182],"deployed":[183],"two-week":[185],"field":[186],"experiment":[187],"with":[188,242,263],"followed":[191],"find":[197],"better":[198,224],"work":[199],"MTurk.":[201],"Novices":[202],"in":[203],"our":[204],"study":[205],"viewed":[206],"over":[207],"25,000":[208],"1,394":[211],"requesters.":[212],"found":[214],"utilized":[218],"Turkers\u2019":[221],"earned":[223],"other":[227],"novices.":[228],"Our":[229],"results":[230],"highlight":[231],"tool":[233],"development":[234],"support":[236],"should":[239],"be":[240],"paired":[241],"educational":[243],"opportunities":[244],"teach":[246],"effectively":[250],"related":[256],"metrics":[257],"(e.g.,":[258],"values).":[260],"finish":[262],"design":[264],"recommendations":[265],"empowering":[267],"salaries.":[273]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":10},{"year":2021,"cited_by_count":5}],"updated_date":"2026-04-14T08:04:32.555800","created_date":"2025-10-10T00:00:00"}
