{"id":"https://openalex.org/W2966836724","doi":"https://doi.org/10.1145/3292500.3332277","title":"Optimizing the Wisdom of the Crowd","display_name":"Optimizing the Wisdom of the Crowd","publication_year":2019,"publication_date":"2019-07-25","ids":{"openalex":"https://openalex.org/W2966836724","doi":"https://doi.org/10.1145/3292500.3332277","mag":"2966836724"},"language":"en","primary_location":{"id":"doi:10.1145/3292500.3332277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3332277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","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/A5010390572","display_name":"Yao Zhou","orcid":"https://orcid.org/0000-0002-8021-7650"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yao Zhou","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001030192","display_name":"Fenglong Ma","orcid":"https://orcid.org/0000-0002-4999-0303"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fenglong Ma","raw_affiliation_strings":["University at Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100781384","display_name":"Jing Gao","orcid":"https://orcid.org/0000-0001-5083-2241"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Gao","raw_affiliation_strings":["University at Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073158087","display_name":"Jingrui He","orcid":"https://orcid.org/0000-0002-6429-6272"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jingrui He","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010390572"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":1.2497,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83862648,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3231","last_page":"3232"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9951000213623047,"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"}},{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9901999831199646,"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":0.9673259258270264},{"id":"https://openalex.org/keywords/captcha","display_name":"CAPTCHA","score":0.7428536415100098},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7361044883728027},{"id":"https://openalex.org/keywords/creativity","display_name":"Creativity","score":0.6336708664894104},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6054744720458984},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.5822284817695618},{"id":"https://openalex.org/keywords/analogy","display_name":"Analogy","score":0.5502470135688782},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.48367056250572205},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.42632508277893066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30607253313064575},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08779889345169067}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9673259258270264},{"id":"https://openalex.org/C163339463","wikidata":"https://www.wikidata.org/wiki/Q484598","display_name":"CAPTCHA","level":2,"score":0.7428536415100098},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7361044883728027},{"id":"https://openalex.org/C11012388","wikidata":"https://www.wikidata.org/wiki/Q170658","display_name":"Creativity","level":2,"score":0.6336708664894104},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6054744720458984},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.5822284817695618},{"id":"https://openalex.org/C521332185","wikidata":"https://www.wikidata.org/wiki/Q185816","display_name":"Analogy","level":2,"score":0.5502470135688782},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.48367056250572205},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.42632508277893066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30607253313064575},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08779889345169067},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3292500.3332277","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3292500.3332277","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery &amp; Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4991663675","display_name":null,"funder_award_id":"IIS-1552654, IIS-1813464, CNS-1629888, IIS-1553411","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G8438806700","display_name":null,"funder_award_id":"17STQAC00001-02-00","funder_id":"https://openalex.org/F4320306110","funder_display_name":"U.S. Department of Homeland Security"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320306110","display_name":"U.S. Department of Homeland Security","ror":"https://ror.org/00jyr0d86"},{"id":"https://openalex.org/F4320307762","display_name":"International Business Machines Corporation","ror":"https://ror.org/05hh8d621"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W2018096278","https://openalex.org/W2034771068","https://openalex.org/W2065180801","https://openalex.org/W2096848877","https://openalex.org/W2105709960","https://openalex.org/W2125943921","https://openalex.org/W2134305421","https://openalex.org/W2152009989","https://openalex.org/W2181558882","https://openalex.org/W2368253142","https://openalex.org/W2571859924","https://openalex.org/W2579642215","https://openalex.org/W2585226541","https://openalex.org/W2621504451","https://openalex.org/W2743605915","https://openalex.org/W2774644914","https://openalex.org/W2783793006","https://openalex.org/W2808975577","https://openalex.org/W2901136787","https://openalex.org/W2952023105","https://openalex.org/W2963767865","https://openalex.org/W2964067789"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2489627749","https://openalex.org/W2083377921","https://openalex.org/W3115412860","https://openalex.org/W181198103","https://openalex.org/W4254346324","https://openalex.org/W4224281396","https://openalex.org/W2740232185","https://openalex.org/W2056584528","https://openalex.org/W4205858244"],"abstract_inverted_index":{"The":[0],"increasing":[1],"need":[2],"for":[3],"labeled":[4],"data":[5,26,58],"has":[6],"brought":[7],"the":[8,45,53,57,73,76,87,90],"booming":[9],"growth":[10],"of":[11,17,47,67,84,89],"crowdsourcing":[12,50],"in":[13,92],"a":[14,65,93,97],"wide":[15],"range":[16],"high-impact":[18],"real-world":[19],"applications,":[20],"such":[21],"as":[22],"collaborative":[23],"knowledge":[24],"(e.g.,":[25,32,40],"annotations,":[27],"language":[28],"translations),":[29],"collective":[30],"creativity":[31],"analogy":[33],"mining,":[34],"crowdfunding),":[35],"and":[36,62],"reverse":[37],"Turing":[38],"test":[39],"CAPTCHA-like":[41],"systems),":[42],"etc.":[43],"In":[44],"context":[46],"supervised":[48],"learning,":[49],"refers":[51],"to":[52,80],"annotation":[54],"procedure":[55],"where":[56],"items":[59],"are":[60,78],"outsourced":[61],"processed":[63],"by":[64],"group":[66],"mostly":[68],"unskilled":[69],"online":[70],"workers.":[71],"Thus,":[72],"researchers":[74],"or":[75],"organizations":[77],"able":[79],"collect":[81],"large":[82],"amount":[83],"information":[85],"via":[86],"feedback":[88],"crowd":[91],"short":[94],"time":[95],"with":[96],"low":[98],"cost.":[99]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":3}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}
