{"id":"https://openalex.org/W2397110394","doi":"https://doi.org/10.1145/2858036.2858560","title":"Learning From the Crowd","display_name":"Learning From the Crowd","publication_year":2016,"publication_date":"2016-05-05","ids":{"openalex":"https://openalex.org/W2397110394","doi":"https://doi.org/10.1145/2858036.2858560","mag":"2397110394"},"language":"en","primary_location":{"id":"doi:10.1145/2858036.2858560","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2858036.2858560","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2858036.2858560","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/2858036.2858560","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5015187091","display_name":"Lena Mamykina","orcid":"https://orcid.org/0000-0001-5203-274X"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lena Mamykina","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063802353","display_name":"Thomas N. Smyth","orcid":null},"institutions":[{"id":"https://openalex.org/I174947986","display_name":"Flex (United States)","ror":"https://ror.org/03q7jt003","country_code":"US","type":"company","lineage":["https://openalex.org/I174947986"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas N. Smyth","raw_affiliation_strings":["Sassafras Tech Collective, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sassafras Tech Collective, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I174947986"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000043433","display_name":"Jill Dimond","orcid":"https://orcid.org/0000-0002-8482-8061"},"institutions":[{"id":"https://openalex.org/I174947986","display_name":"Flex (United States)","ror":"https://ror.org/03q7jt003","country_code":"US","type":"company","lineage":["https://openalex.org/I174947986"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jill P. Dimond","raw_affiliation_strings":["Sassafras Tech Collective, Ann Arbor, MI, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sassafras Tech Collective, Ann Arbor, MI, USA","institution_ids":["https://openalex.org/I174947986"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010436269","display_name":"Krzysztof Z. Gajos","orcid":"https://orcid.org/0000-0002-1897-9048"},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krzysztof Z. Gajos","raw_affiliation_strings":["Harvard University, Cambridge, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Harvard University, Cambridge, MA, USA","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.0952,"has_fulltext":true,"cited_by_count":24,"citation_normalized_percentile":{"value":0.92397226,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"2635","last_page":"2644"},"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":0.9904000163078308,"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/T13274","display_name":"Expert finding and Q&A systems","score":0.9830999970436096,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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":0.9746032953262329},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.7397478818893433},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366689443588257},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7157248258590698},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5710271596908569},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.4852995276451111},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47887367010116577},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.47603750228881836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46201008558273315},{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.44849419593811035},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.38229188323020935},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.347911536693573},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.14590111374855042},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11549878120422363},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08984649181365967},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08660513162612915}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9746032953262329},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.7397478818893433},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366689443588257},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7157248258590698},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5710271596908569},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4852995276451111},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47887367010116577},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.47603750228881836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46201008558273315},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.44849419593811035},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.38229188323020935},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.347911536693573},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.14590111374855042},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11549878120422363},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08984649181365967},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08660513162612915},{"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/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2858036.2858560","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2858036.2858560","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2858036.2858560","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:dash.harvard.edu:1/30860439","is_oa":true,"landing_page_url":"http://nrs.harvard.edu/urn-3:HUL.InstRepos:30860439","pdf_url":null,"source":{"id":"https://openalex.org/S4306401540","display_name":"Digital Access to Scholarship at Harvard (DASH) (Harvard University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I136199984","host_organization_name":"Harvard University","host_organization_lineage":["https://openalex.org/I136199984"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":{"id":"doi:10.1145/2858036.2858560","is_oa":true,"landing_page_url":"https://doi.org/10.1145/2858036.2858560","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/2858036.2858560","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.6600000262260437,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[{"id":"https://openalex.org/G2488315110","display_name":"SCH: EAGER: Improving Nutritional Literacy and Decision Making with Learner-Centered Crowdsourcing","funder_award_id":"1551708","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2397110394.pdf","grobid_xml":"https://content.openalex.org/works/W2397110394.grobid-xml"},"referenced_works_count":25,"referenced_works":["https://openalex.org/W122626481","https://openalex.org/W596790136","https://openalex.org/W1548824918","https://openalex.org/W1550621568","https://openalex.org/W1967555382","https://openalex.org/W1975454407","https://openalex.org/W2052870110","https://openalex.org/W2075433557","https://openalex.org/W2083188089","https://openalex.org/W2083439948","https://openalex.org/W2089801766","https://openalex.org/W2111298664","https://openalex.org/W2125990861","https://openalex.org/W2127008633","https://openalex.org/W2131723483","https://openalex.org/W2144596371","https://openalex.org/W2150794602","https://openalex.org/W2154041216","https://openalex.org/W2168765606","https://openalex.org/W2617410338","https://openalex.org/W2913879771","https://openalex.org/W3044291841","https://openalex.org/W3121257585","https://openalex.org/W4404134126","https://openalex.org/W6819083493"],"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":{"Crowd":[0],"work":[1],"provides":[2],"solutions":[3,110,145,150],"to":[4,40,48,69,89,93,131,159],"complex":[5],"problems":[6],"effectively,":[7],"efficiently,":[8],"and":[9,38,92,106,129,154,178,183],"at":[10],"low":[11,172],"cost.":[12],"Previous":[13],"research":[14,44],"showed":[15,140],"that":[16,119,141],"feedback,":[17,30],"particularly":[18,31,167],"correctness":[19],"feedback":[20,91,121],"can":[21],"help":[22],"crowd":[23],"workers":[24,61,68],"improve":[25],"their":[26,155],"performance;":[27],"yet":[28],"such":[29],"when":[32],"generated":[33,111],"by":[34,112,152,188],"experts,":[35],"is":[36,122,166],"costly":[37],"difficult":[39],"scale.":[41],"In":[42,56],"our":[43],"we":[45,66],"investigate":[46],"approaches":[47],"facilitating":[49,127],"continuous":[50],"observational":[51],"learning":[52,128],"in":[53,134,162],"crowdsourcing":[54,192],"communities.":[55],"a":[57,71,107,123,147,189],"study":[58,116,138],"conducted":[59],"with":[60,102,109,146],"on":[62,176],"Amazon":[63],"Mechanical":[64],"Turk,":[65],"asked":[67],"complete":[70],"set":[72],"of":[73,78,96,104,149,170,180,191],"tasks":[74],"identifying":[75],"nutritional":[76],"composition":[77],"different":[79],"meals.":[80],"We":[81],"examined":[82],"workers'":[83],"accuracy":[84,100],"gains":[85,133,161],"after":[86],"being":[87],"exposed":[88],"expert-generated":[90,120],"two":[94],"types":[95],"peer-generated":[97],"feedback:":[98],"direct":[99],"assessment":[101],"explanations":[103],"errors,":[105],"comparison":[108],"other":[113],"workers.":[114],"The":[115],"further":[117],"confirmed":[118],"powerful":[124],"mechanism":[125],"for":[126,186],"leads":[130,158],"significant":[132,160],"accuracy.":[135,163],"However,":[136],"the":[137],"also":[139],"comparing":[142],"one's":[143],"own":[144],"variety":[148,190],"suggested":[151],"others":[153],"comparative":[156],"frequencies":[157],"This":[164],"solution":[165],"attractive":[168],"because":[169],"its":[171],"cost,":[173],"minimal":[174],"impact":[175],"time":[177],"cost":[179],"job":[181],"completion,":[182],"high":[184],"potential":[185],"adoption":[187],"platforms.":[193]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}