{"id":"https://openalex.org/W2267283990","doi":"https://doi.org/10.1145/2856102","title":"Incentives for Effort in Crowdsourcing Using the Peer Truth Serum","display_name":"Incentives for Effort in Crowdsourcing Using the Peer Truth Serum","publication_year":2016,"publication_date":"2016-03-31","ids":{"openalex":"https://openalex.org/W2267283990","doi":"https://doi.org/10.1145/2856102","mag":"2267283990"},"language":"en","primary_location":{"id":"doi:10.1145/2856102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2856102","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://infoscience.epfl.ch/record/215902","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047197460","display_name":"Goran Radanovi\u0107","orcid":"https://orcid.org/0000-0001-6016-4013"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":true,"raw_author_name":"Goran Radanovic","raw_affiliation_strings":["Artificial Intelligence Laboratory, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060427576","display_name":"Boi Faltings","orcid":"https://orcid.org/0000-0002-7188-7230"},"institutions":[{"id":"https://openalex.org/I5124864","display_name":"\u00c9cole Polytechnique F\u00e9d\u00e9rale de Lausanne","ror":"https://ror.org/02s376052","country_code":"CH","type":"education","lineage":["https://openalex.org/I2799323385","https://openalex.org/I5124864"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Boi Faltings","raw_affiliation_strings":["Artificial Intelligence Laboratory, EPFL, Lausanne, Switzerland"],"affiliations":[{"raw_affiliation_string":"Artificial Intelligence Laboratory, EPFL, Lausanne, Switzerland","institution_ids":["https://openalex.org/I5124864"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044830846","display_name":"Radu Jurca","orcid":null},"institutions":[{"id":"https://openalex.org/I4210100430","display_name":"Google (Switzerland)","ror":"https://ror.org/014f9c269","country_code":"CH","type":"company","lineage":["https://openalex.org/I1291425158","https://openalex.org/I4210100430","https://openalex.org/I4210128969"]}],"countries":["CH"],"is_corresponding":false,"raw_author_name":"Radu Jurca","raw_affiliation_strings":["Google, Zurich, Switzerland"],"affiliations":[{"raw_affiliation_string":"Google, Zurich, Switzerland","institution_ids":["https://openalex.org/I4210100430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047197460"],"corresponding_institution_ids":["https://openalex.org/I5124864"],"apc_list":null,"apc_paid":null,"fwci":21.552,"has_fulltext":false,"cited_by_count":100,"citation_normalized_percentile":{"value":0.99146259,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"7","issue":"4","first_page":"1","last_page":"28"},"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":0.9995999932289124,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.991599977016449,"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":0.9462577104568481},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8675215244293213},{"id":"https://openalex.org/keywords/incentive","display_name":"Incentive","score":0.6932237148284912},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.6427320837974548},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6387037038803101},{"id":"https://openalex.org/keywords/grading","display_name":"Grading (engineering)","score":0.5937198996543884},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5563786029815674},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.372079074382782},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.29838573932647705},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22125619649887085}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9462577104568481},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8675215244293213},{"id":"https://openalex.org/C29122968","wikidata":"https://www.wikidata.org/wiki/Q1414816","display_name":"Incentive","level":2,"score":0.6932237148284912},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.6427320837974548},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6387037038803101},{"id":"https://openalex.org/C2777286243","wikidata":"https://www.wikidata.org/wiki/Q5591926","display_name":"Grading (engineering)","level":2,"score":0.5937198996543884},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5563786029815674},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.372079074382782},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29838573932647705},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22125619649887085},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C147176958","wikidata":"https://www.wikidata.org/wiki/Q77590","display_name":"Civil engineering","level":1,"score":0.0},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2856102","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2856102","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Intelligent Systems and Technology","raw_type":"journal-article"},{"id":"pmh:oai:infoscience.epfl.ch:215902","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/215902","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:infoscience.epfl.ch:215902","is_oa":true,"landing_page_url":"http://infoscience.epfl.ch/record/215902","pdf_url":null,"source":{"id":"https://openalex.org/S4306400487","display_name":"Infoscience (Ecole Polytechnique F\u00e9d\u00e9rale de Lausanne)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W5354901","https://openalex.org/W105107310","https://openalex.org/W114813838","https://openalex.org/W793737040","https://openalex.org/W1499884756","https://openalex.org/W1595524969","https://openalex.org/W1968072657","https://openalex.org/W1997504572","https://openalex.org/W2015473432","https://openalex.org/W2024559213","https://openalex.org/W2051039936","https://openalex.org/W2063782051","https://openalex.org/W2109062107","https://openalex.org/W2109304399","https://openalex.org/W2120898858","https://openalex.org/W2133418957","https://openalex.org/W2138524027","https://openalex.org/W2141282920","https://openalex.org/W2145333157","https://openalex.org/W2147498513","https://openalex.org/W2153209865","https://openalex.org/W2162930353","https://openalex.org/W2182568424","https://openalex.org/W2187912528","https://openalex.org/W2251049298","https://openalex.org/W2256714492","https://openalex.org/W2288655875","https://openalex.org/W2912219781","https://openalex.org/W2952197398","https://openalex.org/W3029133705","https://openalex.org/W3106358908","https://openalex.org/W3121522380","https://openalex.org/W6931870726"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W1503094549","https://openalex.org/W4384486036","https://openalex.org/W135177976","https://openalex.org/W2337920774","https://openalex.org/W4318823662","https://openalex.org/W2886410948","https://openalex.org/W2025875869","https://openalex.org/W3207526114","https://openalex.org/W2511805441"],"abstract_inverted_index":{"Crowdsourcing":[0],"is":[1,39,80,89,134],"widely":[2],"proposed":[3],"as":[4,16],"a":[5,9,40,126],"method":[6],"to":[7,42,93,136],"solve":[8],"large":[10],"variety":[11],"of":[12],"judgment":[13],"tasks,":[14],"such":[15,87],"classifying":[17],"website":[18],"content,":[19],"peer":[20,75],"grading":[21],"in":[22,86,108,117],"online":[23],"courses,":[24],"or":[25],"collecting":[26],"real-world":[27],"data.":[28],"As":[29],"the":[30,49,57,83,95,100,118,144],"data":[31,45],"reported":[32],"by":[33,55,69],"workers":[34,92],"cannot":[35],"be":[36,53,115],"verified,":[37],"there":[38],"tendency":[41],"report":[43,94],"random":[44],"without":[46,98],"actually":[47],"solving":[48,99],"task.":[50,101],"This":[51],"can":[52,114],"countered":[54],"making":[56],"reward":[58],"for":[59,90],"an":[60,72],"answer":[61,97],"depend":[62],"on":[63],"its":[64,149],"consistency":[65,76],"with":[66],"answers":[67],"given":[68],"other":[70],"workers,":[71],"approach":[73],"called":[74],".":[77],"However,":[78],"it":[79],"obvious":[81],"that":[82,129],"best":[84],"strategy":[85],"schemes":[88],"all":[91],"same":[96],"Dasgupta":[102],"and":[103,133,147],"Ghosh":[104],"[2013]":[105],"show":[106],"that,":[107],"some":[109],"cases,":[110],"exerting":[111],"high":[112],"effort":[113],"encouraged":[116],"highest-paying":[119],"equilibrium.":[120],"In":[121],"this":[122,131],"article,":[123],"we":[124,141],"present":[125],"general":[127],"mechanism":[128],"implements":[130],"idea":[132],"applicable":[135],"most":[137],"crowdsourcing":[138],"settings.":[139],"Furthermore,":[140],"experimentally":[142],"test":[143],"novel":[145],"mechanism,":[146],"validate":[148],"theoretical":[150],"properties.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":11},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":18},{"year":2019,"cited_by_count":17},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":7},{"year":2014,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
