{"id":"https://openalex.org/W2776106194","doi":"https://doi.org/10.1145/3148330.3148342","title":"Enabling Uneven Task Difficulty in Micro-Task Crowdsourcing","display_name":"Enabling Uneven Task Difficulty in Micro-Task Crowdsourcing","publication_year":2017,"publication_date":"2017-12-22","ids":{"openalex":"https://openalex.org/W2776106194","doi":"https://doi.org/10.1145/3148330.3148342","mag":"2776106194"},"language":"en","primary_location":{"id":"doi:10.1145/3148330.3148342","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148330.3148342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Conference on Supporting Groupwork","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":"https://openalex.org/A5037178287","display_name":"Yu Jiang","orcid":"https://orcid.org/0000-0001-9025-3375"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Jiang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030016142","display_name":"Yuling Sun","orcid":"https://orcid.org/0000-0003-1726-5913"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuling Sun","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100704232","display_name":"Jing Yang","orcid":"https://orcid.org/0000-0002-8794-4842"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jing Yang","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398281","display_name":"Xin Lin","orcid":"https://orcid.org/0000-0001-6913-4654"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Lin","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010540039","display_name":"Liang He","orcid":"https://orcid.org/0000-0002-4723-5486"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang He","raw_affiliation_strings":["East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"12","last_page":"21"},"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/T11182","display_name":"Auction Theory and Applications","score":0.9926000237464905,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9925000071525574,"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/crowdsourcing","display_name":"Crowdsourcing","score":0.9137452840805054},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7711315155029297},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6677520275115967},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.39960411190986633},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.15587037801742554},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11530596017837524},{"id":"https://openalex.org/keywords/systems-engineering","display_name":"Systems engineering","score":0.06938418745994568}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9137452840805054},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7711315155029297},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6677520275115967},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.39960411190986633},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.15587037801742554},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11530596017837524},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.06938418745994568}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3148330.3148342","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3148330.3148342","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM Conference on Supporting Groupwork","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2009735666","display_name":null,"funder_award_id":"No. 61773167, No. 61702191","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W159136832","https://openalex.org/W1497882404","https://openalex.org/W1506491340","https://openalex.org/W1546421159","https://openalex.org/W1570705485","https://openalex.org/W1970381522","https://openalex.org/W1996749878","https://openalex.org/W2025627988","https://openalex.org/W2026969101","https://openalex.org/W2037820867","https://openalex.org/W2045114813","https://openalex.org/W2055472151","https://openalex.org/W2066295131","https://openalex.org/W2098865355","https://openalex.org/W2121117737","https://openalex.org/W2121927366","https://openalex.org/W2123326341","https://openalex.org/W2129760706","https://openalex.org/W2135504089","https://openalex.org/W2140890285","https://openalex.org/W2142518823","https://openalex.org/W2146928171","https://openalex.org/W2148479118","https://openalex.org/W2149489787","https://openalex.org/W2149906572","https://openalex.org/W2151401338","https://openalex.org/W2290009368","https://openalex.org/W2292361954","https://openalex.org/W2579968393","https://openalex.org/W2610930467","https://openalex.org/W3121522380"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2337920774","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W4318823662","https://openalex.org/W3196817267"],"abstract_inverted_index":{"In":[0],"micro-task":[1,60],"crowdsourcing":[2,30,79,84,101,136],"markets":[3],"such":[4],"as":[5,164],"Amazon's":[6],"Mechanical":[7],"Turk,":[8],"how":[9],"to":[10,40,50,73,81,109,127],"obtain":[11],"high":[12],"quality":[13,147],"result":[14],"without":[15],"exceeding":[16],"the":[17,65,83,99,111,117,141,146,153,159],"limited":[18],"budgets":[19],"is":[20],"one":[21],"main":[22],"challenge.":[23],"The":[24],"existing":[25],"theory":[26],"and":[27,56,70,75,151,156],"practice":[28],"of":[29,59,67,113,124,148,161],"suggests":[31],"that":[32,133],"uneven":[33],"task":[34,41,51,68,89,142,149,162,165],"difficulty":[35,69,90,143,163],"plays":[36],"a":[37,46,77,94,122],"crucial":[38],"role":[39],"quality.":[42],"Yet,":[43],"it":[44],"lacks":[45],"clear":[47],"identifying":[48],"method":[49,80,97,108,137],"difficulty,":[52],"which":[53,131],"hinders":[54],"effective":[55],"efficient":[57],"execution":[58],"crowdsourcing.":[61],"This":[62],"paper":[63],"explores":[64],"notion":[66],"its":[71],"influence":[72],"crowdsourcing,":[74],"presents":[76],"difficulty-based":[78,135],"optimize":[82],"process.":[85],"We":[86,120],"firstly":[87],"identify":[88,140],"feature":[91],"based":[92],"on":[93],"local":[95],"estimation":[96],"in":[98],"real":[100],"context,":[102],"followed":[103],"by":[104],"proposing":[105],"an":[106],"optimization":[107],"improve":[110,145],"accuracy":[112],"results,":[114],"while":[115],"reducing":[116],"overall":[118],"cost.":[119],"conduct":[121],"series":[123],"experimental":[125],"studies":[126],"evaluate":[128],"our":[129,134],"method,":[130],"show":[132],"can":[138],"accurately":[139],"feature,":[144],"performance":[150],"reduce":[152],"cost":[154],"significantly,":[155],"thus":[157],"demonstrate":[158],"effectiveness":[160],"modeling":[166],"property.":[167]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}