{"id":"https://openalex.org/W4286588486","doi":"https://doi.org/10.1145/3514094.3534145","title":"Crowdsourcing Impacts","display_name":"Crowdsourcing Impacts","publication_year":2022,"publication_date":"2022-07-26","ids":{"openalex":"https://openalex.org/W4286588486","doi":"https://doi.org/10.1145/3514094.3534145"},"language":"en","primary_location":{"id":"doi:10.1145/3514094.3534145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514094.3534145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2207.09525","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078903032","display_name":"Julia Barnett","orcid":"https://orcid.org/0000-0002-3476-1110"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julia Barnett","raw_affiliation_strings":["Northwestern Univeristy, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Univeristy, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079222963","display_name":"Nicholas Diakopoulos","orcid":"https://orcid.org/0000-0001-5005-6123"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicholas Diakopoulos","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5058,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89999022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"56","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9986000061035156,"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":0.9674000144004822,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.9306105375289917},{"id":"https://openalex.org/keywords/futures-studies","display_name":"Futures studies","score":0.6342765092849731},{"id":"https://openalex.org/keywords/citizen-journalism","display_name":"Citizen journalism","score":0.5828901529312134},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5680442452430725},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5521991848945618},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.501854419708252},{"id":"https://openalex.org/keywords/realm","display_name":"Realm","score":0.48305875062942505},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.44756805896759033},{"id":"https://openalex.org/keywords/deliberation","display_name":"Deliberation","score":0.4446655809879303},{"id":"https://openalex.org/keywords/diversity","display_name":"Diversity (politics)","score":0.4411206543445587},{"id":"https://openalex.org/keywords/knowledge-management","display_name":"Knowledge management","score":0.43623971939086914},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.42594823241233826},{"id":"https://openalex.org/keywords/management-science","display_name":"Management science","score":0.34243687987327576},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.23279336094856262},{"id":"https://openalex.org/keywords/sociology","display_name":"Sociology","score":0.20859679579734802},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.16740956902503967},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.16315019130706787},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.12053856253623962},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.11976274847984314},{"id":"https://openalex.org/keywords/politics","display_name":"Politics","score":0.10113105177879333}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9306105375289917},{"id":"https://openalex.org/C64848388","wikidata":"https://www.wikidata.org/wiki/Q188867","display_name":"Futures studies","level":2,"score":0.6342765092849731},{"id":"https://openalex.org/C203663800","wikidata":"https://www.wikidata.org/wiki/Q848979","display_name":"Citizen journalism","level":2,"score":0.5828901529312134},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5680442452430725},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5521991848945618},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.501854419708252},{"id":"https://openalex.org/C2778757428","wikidata":"https://www.wikidata.org/wiki/Q1250464","display_name":"Realm","level":2,"score":0.48305875062942505},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.44756805896759033},{"id":"https://openalex.org/C2776946740","wikidata":"https://www.wikidata.org/wiki/Q358652","display_name":"Deliberation","level":3,"score":0.4446655809879303},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.4411206543445587},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.43623971939086914},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.42594823241233826},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.34243687987327576},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.23279336094856262},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.20859679579734802},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.16740956902503967},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.16315019130706787},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.12053856253623962},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.11976274847984314},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.10113105177879333},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3514094.3534145","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3514094.3534145","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2022 AAAI/ACM Conference on AI, Ethics, and Society","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2207.09525","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.09525","pdf_url":"https://arxiv.org/pdf/2207.09525","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":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2207.09525","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2207.09525","pdf_url":"https://arxiv.org/pdf/2207.09525","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":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2921263631","display_name":null,"funder_award_id":"IIS-1845460","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W257529131","https://openalex.org/W384742988","https://openalex.org/W1976634262","https://openalex.org/W2008982893","https://openalex.org/W2009157950","https://openalex.org/W2017669310","https://openalex.org/W2024185307","https://openalex.org/W2025381180","https://openalex.org/W2027703626","https://openalex.org/W2058818620","https://openalex.org/W2080190905","https://openalex.org/W2125018631","https://openalex.org/W2126169472","https://openalex.org/W2128217744","https://openalex.org/W2130324521","https://openalex.org/W2131256316","https://openalex.org/W2140910804","https://openalex.org/W2152076652","https://openalex.org/W2158936809","https://openalex.org/W2186574084","https://openalex.org/W2210543184","https://openalex.org/W2250533720","https://openalex.org/W2250539671","https://openalex.org/W2263936035","https://openalex.org/W2313899201","https://openalex.org/W2332851105","https://openalex.org/W2482306846","https://openalex.org/W2527349292","https://openalex.org/W2557671501","https://openalex.org/W2558888286","https://openalex.org/W2559926118","https://openalex.org/W2769563773","https://openalex.org/W2794219599","https://openalex.org/W2885659818","https://openalex.org/W2900077509","https://openalex.org/W2962059918","https://openalex.org/W2963588812","https://openalex.org/W2970641574","https://openalex.org/W2971709279","https://openalex.org/W2972441196","https://openalex.org/W2984033940","https://openalex.org/W2995523160","https://openalex.org/W2996844041","https://openalex.org/W2997335426","https://openalex.org/W3011179284","https://openalex.org/W3012950066","https://openalex.org/W3016154458","https://openalex.org/W3042911150","https://openalex.org/W3086667591","https://openalex.org/W3093022464","https://openalex.org/W3110267767","https://openalex.org/W3123924866","https://openalex.org/W3124945286","https://openalex.org/W3129794348","https://openalex.org/W3130027905","https://openalex.org/W3131544051","https://openalex.org/W3134214835","https://openalex.org/W3134362900","https://openalex.org/W3160016964","https://openalex.org/W3161443521","https://openalex.org/W3175962280","https://openalex.org/W3176380929","https://openalex.org/W3185966361","https://openalex.org/W3206608238","https://openalex.org/W3217465129","https://openalex.org/W4200220040","https://openalex.org/W4205362630","https://openalex.org/W4214944563","https://openalex.org/W4226088279","https://openalex.org/W4230040190","https://openalex.org/W4231321883","https://openalex.org/W4248111420","https://openalex.org/W4255386139"],"related_works":["https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2359053655","https://openalex.org/W2387777532","https://openalex.org/W2337920774","https://openalex.org/W2382709029","https://openalex.org/W4286908577","https://openalex.org/W2055358537"],"abstract_inverted_index":{"With":[0],"the":[1,45,123,127,138,141,144,156],"increasing":[2],"pervasiveness":[3],"of":[4,13,35,49,76,84,91,126,133,143,169],"algorithms":[5,179],"across":[6],"industry":[7],"and":[8,24,41,108,186],"government,":[9],"a":[10,74,89,131],"growing":[11],"body":[12],"work":[14,162],"has":[15],"grappled":[16],"with":[17],"how":[18,150],"to":[19,38,43,64,79,129,148],"understand":[20],"their":[21,50],"societal":[22,47,68,101],"impact":[23,48,85,106,145,172],"ethical":[25,110],"implications.":[26],"Various":[27],"methods":[28],"have":[29],"been":[30],"used":[31],"at":[32,121],"different":[33,67,82],"stages":[34],"algorithm":[36,111],"development":[37],"encourage":[39],"researchers":[40],"designers":[42],"consider":[44],"potential":[46],"research.":[51],"An":[52],"understudied":[53],"yet":[54],"promising":[55],"area":[56],"in":[57,180],"this":[58,117,161],"realm":[59],"is":[60,119],"using":[61],"participatory":[62,77,184],"foresight":[63,78,185],"anticipate":[65],"these":[66],"impacts.":[69,159],"We":[70,135],"employ":[71],"crowdsourcing":[72,151,164],"as":[73,165],"means":[75,168],"uncover":[80,130],"four":[81],"types":[83],"areas":[86,146],"based":[87],"on":[88],"set":[90],"governmental":[92],"algorithmic":[93,171],"decision":[94],"making":[95],"tools:":[96],"(1)":[97],"perceived":[98],"valence,":[99],"(2)":[100],"domains,":[102],"(3)":[103],"specific":[104],"abstract":[105],"types,":[107],"(4)":[109],"concerns.":[112],"Our":[113],"findings":[114],"suggest":[115],"that":[116],"method":[118],"effective":[120,167],"leveraging":[122,183],"cognitive":[124,187],"diversity":[125],"crowd":[128],"range":[132],"issues.":[134],"further":[136],"analyze":[137],"complexities":[139],"within":[140],"interaction":[142],"identified":[147],"demonstrate":[149],"can":[152],"illuminate":[153],"patterns":[154],"around":[155],"connections":[157],"between":[158],"Ultimately":[160],"establishes":[163],"an":[166],"anticipating":[170],"which":[173],"complements":[174],"other":[175],"approaches":[176],"towards":[177],"assessing":[178],"society":[181],"by":[182],"diversity.":[188]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2022-07-22T00:00:00"}