{"id":"https://openalex.org/W2788974287","doi":"https://doi.org/10.1145/3178876.3186036","title":"Crowd-based Multi-Predicate Screening of Papers in Literature Reviews","display_name":"Crowd-based Multi-Predicate Screening of Papers in Literature Reviews","publication_year":2018,"publication_date":"2018-01-01","ids":{"openalex":"https://openalex.org/W2788974287","doi":"https://doi.org/10.1145/3178876.3186036","mag":"2788974287"},"language":"en","primary_location":{"id":"doi:10.1145/3178876.3186036","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186036","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186036&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"http://dl.acm.org/ft_gateway.cfm?id=3186036&type=pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5077236024","display_name":"Evgeny Krivosheev","orcid":null},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Evgeny Krivosheev","raw_affiliation_strings":["University of Trento, Trento, Italy","University of Trento, trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]},{"raw_affiliation_string":"University of Trento, trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086585292","display_name":"Fabio Casati","orcid":"https://orcid.org/0000-0001-7591-9562"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fabio Casati","raw_affiliation_strings":["University of Trento & Tomsk Polytechnic University, Tomsk, Russian Fed","University of Trento and Tomsk Polytechnic University, Tomsk, Russian Fed"],"affiliations":[{"raw_affiliation_string":"University of Trento & Tomsk Polytechnic University, Tomsk, Russian Fed","institution_ids":[]},{"raw_affiliation_string":"University of Trento and Tomsk Polytechnic University, Tomsk, Russian Fed","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042705320","display_name":"Boualem Benatallah","orcid":"https://orcid.org/0000-0002-8805-1130"},"institutions":[{"id":"https://openalex.org/I31746571","display_name":"UNSW Sydney","ror":"https://ror.org/03r8z3t63","country_code":"AU","type":"education","lineage":["https://openalex.org/I31746571"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Boualem Benatallah","raw_affiliation_strings":["University of New South Wales, Sydney, Australia","University of New South Wales, Sydney,\u00a0Australia"],"affiliations":[{"raw_affiliation_string":"University of New South Wales, Sydney, Australia","institution_ids":["https://openalex.org/I31746571"]},{"raw_affiliation_string":"University of New South Wales, Sydney,\u00a0Australia","institution_ids":["https://openalex.org/I31746571"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5077236024"],"corresponding_institution_ids":["https://openalex.org/I193223587"],"apc_list":null,"apc_paid":null,"fwci":2.42113064,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.85235284,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"55","last_page":"64"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994000196456909,"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":0.9994000196456909,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9919999837875366,"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":0.9848999977111816,"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":0.8656521439552307},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7328060865402222},{"id":"https://openalex.org/keywords/scope","display_name":"Scope (computer science)","score":0.6563085317611694},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.588559627532959},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.513319194316864},{"id":"https://openalex.org/keywords/predicate","display_name":"Predicate (mathematical logic)","score":0.4615355432033539},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37590715289115906},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.3522759974002838},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3295133113861084},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.07907968759536743}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.8656521439552307},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7328060865402222},{"id":"https://openalex.org/C2778012447","wikidata":"https://www.wikidata.org/wiki/Q1034415","display_name":"Scope (computer science)","level":2,"score":0.6563085317611694},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.588559627532959},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.513319194316864},{"id":"https://openalex.org/C140146324","wikidata":"https://www.wikidata.org/wiki/Q1144319","display_name":"Predicate (mathematical logic)","level":2,"score":0.4615355432033539},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37590715289115906},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.3522759974002838},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3295133113861084},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.07907968759536743},{"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"id":"doi:10.1145/3178876.3186036","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186036","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186036&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1803.09814","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1803.09814","pdf_url":"https://arxiv.org/pdf/1803.09814","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"","raw_type":"text"},{"id":"mag:2788974287","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/1803.09814","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:iris.unitn.it:11572/226520","is_oa":false,"landing_page_url":"http://hdl.handle.net/11572/226520","pdf_url":null,"source":{"id":"https://openalex.org/S4306401913","display_name":"Institutional Research Information System (Universit\u00e0 degli Studi di Trento)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I193223587","host_organization_name":"University of Trento","host_organization_lineage":["https://openalex.org/I193223587"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"doi:10.48550/arxiv.1803.09814","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1803.09814","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"doi:10.1145/3178876.3186036","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3178876.3186036","pdf_url":"http://dl.acm.org/ft_gateway.cfm?id=3186036&type=pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 World Wide Web Conference on World Wide Web - WWW '18","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.800000011920929}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2788974287.pdf","grobid_xml":"https://content.openalex.org/works/W2788974287.grobid-xml"},"referenced_works_count":37,"referenced_works":["https://openalex.org/W9014458","https://openalex.org/W114929610","https://openalex.org/W2006397401","https://openalex.org/W2017277563","https://openalex.org/W2024166834","https://openalex.org/W2049633694","https://openalex.org/W2052892565","https://openalex.org/W2061687428","https://openalex.org/W2070877465","https://openalex.org/W2079283960","https://openalex.org/W2097090466","https://openalex.org/W2103760926","https://openalex.org/W2121222025","https://openalex.org/W2122200789","https://openalex.org/W2136150876","https://openalex.org/W2140890285","https://openalex.org/W2142518823","https://openalex.org/W2149579726","https://openalex.org/W2152009989","https://openalex.org/W2156098321","https://openalex.org/W2160967997","https://openalex.org/W2167042818","https://openalex.org/W2174985112","https://openalex.org/W2285413972","https://openalex.org/W2292350549","https://openalex.org/W2515510978","https://openalex.org/W2538903535","https://openalex.org/W2550494523","https://openalex.org/W2554839354","https://openalex.org/W2567558666","https://openalex.org/W2589038172","https://openalex.org/W2590501763","https://openalex.org/W2619694921","https://openalex.org/W2728712790","https://openalex.org/W2755407582","https://openalex.org/W2790013363","https://openalex.org/W2952595241"],"related_works":["https://openalex.org/W2728712790","https://openalex.org/W2397683974","https://openalex.org/W2040240412","https://openalex.org/W150726219","https://openalex.org/W2398153122","https://openalex.org/W2585226541","https://openalex.org/W1543648998","https://openalex.org/W1851653583","https://openalex.org/W3112487832","https://openalex.org/W2489791207","https://openalex.org/W3125645198","https://openalex.org/W3196633546","https://openalex.org/W2972941122","https://openalex.org/W2965945497","https://openalex.org/W3088496551","https://openalex.org/W2951857291","https://openalex.org/W3092309472","https://openalex.org/W2955176339","https://openalex.org/W2109793383","https://openalex.org/W2988828549"],"abstract_inverted_index":{"Systematic":[0],"literature":[1,61],"reviews":[2],"(SLRs)":[3],"are":[4,23,222],"one":[5],"of":[6,13,19,21,35,59,76,84,103,116,140,157,164,177,182,192,198,204,215,227],"the":[7,67,89,94,101,104,154,158,162,193,205],"most":[8],"common":[9],"and":[10,16,27,41,48,63,113,136,145,184,190,201,207],"useful":[11],"form":[12],"scientific":[14],"research":[15,95],"publication.":[17],"Tens":[18],"thousands":[20],"SLRs":[22],"published":[24],"each":[25,171],"year,":[26],"this":[28,132],"rate":[29],"is":[30,44,52],"growing":[31],"across":[32],"all":[33,57],"fields":[34],"science.":[36],"Performing":[37],"an":[38,148],"accurate,":[39,111],"complete":[40],"unbiased":[42,114],"SLR":[43],"however":[45],"a":[46,60,74,82,109,138,175,196,225],"difficult":[47],"expensive":[49],"endeavor.":[50],"This":[51],"true":[53],"in":[54,64,91,180,234],"general":[55],"for":[56,66,108,127,142,170,217],"phases":[58],"review,":[62],"particular":[65],"paper":[68,133],"screening":[69,115],"phase,":[70],"where":[71,220],"authors":[72],"lter":[73],"set":[75,139,197],"potentially":[77],"in-scope":[78],"papers":[79],"based":[80],"on":[81],"number":[83,163,176],"exclusion":[85],"criteria.":[86],"To":[87],"address":[88],"problem,":[90],"recent":[92],"years":[93],"community":[96],"has":[97],"began":[98],"to":[99,106,160,167,212],"explore":[100],"use":[102],"crowd":[105],"allow":[107],"faster,":[110],"cheaper":[112],"papers.":[117],"Initial":[118],"results":[119,191],"show":[120,146],"that":[121,147,151,209],"crowdsourcing":[122,199],"can":[123],"be":[124,213],"effective,":[125],"even":[126],"relatively":[128],"complex":[129],"reviews.":[130],"In":[131],"we":[134,210],"derive":[135],"analyze":[137],"strategies":[141],"crowd-based":[143],"screening,":[144],"adaptive":[149],"strategy,":[150],"continuously":[152],"re-assesses":[153],"statistical":[155],"properties":[156,203],"problem":[159,206],"minimize":[161],"votes":[165],"needed":[166],"take":[168],"decisions":[169],"paper,":[172],"significantly":[173],"outperforms":[174],"non-adaptive":[178],"approaches":[179],"terms":[181],"cost":[183],"accuracy.":[185],"We":[186],"validate":[187],"both":[188],"applicability":[189],"approach":[194],"through":[195],"experiments,":[200],"discuss":[202],"algorithms":[208],"believe":[211],"generally":[214],"interest":[216],"classification":[218],"problems":[219],"items":[221],"classified":[223],"via":[224],"series":[226],"successive":[228],"tests":[229],"(as":[230],"it":[231],"often":[232],"happens":[233],"medicine).":[235]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-02-09T09:26:11.010843","created_date":"2025-10-10T00:00:00"}