{"id":"https://openalex.org/W2405909526","doi":"https://doi.org/10.1145/2897659.2897662","title":"Exploring crowd consistency in a mechanical turk survey","display_name":"Exploring crowd consistency in a mechanical turk survey","publication_year":2016,"publication_date":"2016-05-14","ids":{"openalex":"https://openalex.org/W2405909526","doi":"https://doi.org/10.1145/2897659.2897662","mag":"2405909526"},"language":"en","primary_location":{"id":"doi:10.1145/2897659.2897662","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2897659.2897662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Workshop on CrowdSourcing in Software Engineering","raw_type":"proceedings-article"},"type":"article","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":"https://openalex.org/A5101901310","display_name":"Peng Sun","orcid":"https://orcid.org/0000-0002-0663-320X"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Peng Sun","raw_affiliation_strings":["North Carolina State University"],"affiliations":[{"raw_affiliation_string":"North Carolina State University","institution_ids":["https://openalex.org/I137902535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050283470","display_name":"Kathryn T. Stolee","orcid":"https://orcid.org/0000-0003-0584-7094"},"institutions":[{"id":"https://openalex.org/I137902535","display_name":"North Carolina State University","ror":"https://ror.org/04tj63d06","country_code":"US","type":"education","lineage":["https://openalex.org/I137902535"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kathryn T. Stolee","raw_affiliation_strings":["North Carolina State University"],"affiliations":[{"raw_affiliation_string":"North Carolina State University","institution_ids":["https://openalex.org/I137902535"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5101901310"],"corresponding_institution_ids":["https://openalex.org/I137902535"],"apc_list":null,"apc_paid":null,"fwci":3.4168,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.93253263,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"2016","issue":null,"first_page":"8","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":1.0,"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":1.0,"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/T11675","display_name":"Open Source Software Innovations","score":0.9916999936103821,"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":0.9836000204086304,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.9025145769119263},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.7182890176773071},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6874701976776123},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6179240942001343},{"id":"https://openalex.org/keywords/software","display_name":"Software","score":0.5813295245170593},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5559607744216919},{"id":"https://openalex.org/keywords/replication","display_name":"Replication (statistics)","score":0.5540751218795776},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5065609216690063},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.47264546155929565},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.47247856855392456},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.4645084738731384},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4350247085094452},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.3117370009422302},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2306409478187561},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18432462215423584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.1505315601825714},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.11146578192710876},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10186150670051575}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9025145769119263},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.7182890176773071},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6874701976776123},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6179240942001343},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.5813295245170593},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5559607744216919},{"id":"https://openalex.org/C12590798","wikidata":"https://www.wikidata.org/wiki/Q3933199","display_name":"Replication (statistics)","level":2,"score":0.5540751218795776},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5065609216690063},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.47264546155929565},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.47247856855392456},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.4645084738731384},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4350247085094452},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.3117370009422302},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2306409478187561},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18432462215423584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.1505315601825714},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.11146578192710876},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10186150670051575},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2897659.2897662","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2897659.2897662","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Workshop on CrowdSourcing in Software Engineering","raw_type":"proceedings-article"},{"id":"mag:2745568220","is_oa":false,"landing_page_url":"http://jglobal.jst.go.jp/en/public/20090422/201702224385016276","pdf_url":null,"source":{"id":"https://openalex.org/S4306512817","display_name":"IEEE Conference Proceedings","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":null,"raw_source_name":"IEEE Conference Proceedings","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320311090","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1877906231","https://openalex.org/W1967308381","https://openalex.org/W1974796406","https://openalex.org/W2014157887","https://openalex.org/W2028777943","https://openalex.org/W2039532210","https://openalex.org/W2039772616","https://openalex.org/W2060055745","https://openalex.org/W2064161267","https://openalex.org/W2070248097","https://openalex.org/W2104749423","https://openalex.org/W2106568252","https://openalex.org/W2107394329","https://openalex.org/W2112021024","https://openalex.org/W2113878141","https://openalex.org/W2114269021","https://openalex.org/W2135799691","https://openalex.org/W2148003078","https://openalex.org/W2151401338","https://openalex.org/W2182992846","https://openalex.org/W2472335231","https://openalex.org/W2735460460","https://openalex.org/W3122078363","https://openalex.org/W4243097195"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W4286908577","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3207526114"],"abstract_inverted_index":{"Crowdsourcing":[0],"can":[1,111],"provide":[2],"a":[3,26,49,93,150],"platform":[4],"for":[5,129,152],"evaluating":[6],"software":[7],"engineering":[8],"research.":[9],"In":[10,68],"this":[11],"paper,":[12],"we":[13,55,71,122],"aim":[14],"to":[15,41],"explore":[16],"characteristics":[17,110],"of":[18,35,65,88],"the":[19,33,63,69,89,144],"worker":[20],"population":[21],"on":[22,115],"Amazon's":[23],"Mechanical":[24],"Turk,":[25],"popular":[27],"microtask":[28],"crowdsourcing":[29],"environment,":[30],"and":[31,52,99,154],"measure":[32,56],"percentage":[34],"workers":[36],"who":[37,131],"are":[38,102],"potentially":[39],"qualified":[40],"perform":[42],"software-":[43],"or":[44,96],"computer":[45,94],"science-related":[46],"tasks.":[47,107],"Through":[48],"baseline":[50],"survey":[51,146],"two":[53,133,145],"replications,":[54],"workers'":[57,127],"answer":[58],"consistency":[59,64],"as":[60,62],"well":[61],"sample":[66,109],"characteristics.":[67],"end,":[70],"deployed":[72],"1,200":[73],"total":[74],"surveys":[75],"that":[76,86],"were":[77],"completed":[78,132],"by":[79],"1,064":[80],"unique":[81],"workers.":[82],"Our":[83],"results":[84],"show":[85],"24%":[87],"study":[90],"participants":[91],"have":[92],"science":[95],"IT":[97],"background":[98],"most":[100],"people":[101],"payment":[103],"driven":[104],"when":[105],"choosing":[106],"The":[108],"vary":[112],"significantly,":[113],"even":[114],"large":[116],"samples":[117],"with":[118],"300":[119],"participants.":[120],"Additionally,":[121],"often":[123],"observed":[124],"inconsistency":[125],"in":[126,157],"answers":[128],"those":[130],"surveys;":[134],"approximately":[135],"30%":[136],"answered":[137],"at":[138],"least":[139],"one":[140],"question":[141],"inconsistently":[142],"between":[143],"submissions.":[147],"This":[148],"implies":[149],"need":[151],"replication":[153],"quality":[155],"controls":[156],"crowdsourced":[158],"experiments.":[159]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":3}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}