{"id":"https://openalex.org/W2945741875","doi":"https://doi.org/10.1145/3308560.3320083","title":"The Practice of Labeling: Everything You Always Wanted to Know About Labeling (But Were Afraid to Ask)","display_name":"The Practice of Labeling: Everything You Always Wanted to Know About Labeling (But Were Afraid to Ask)","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2945741875","doi":"https://doi.org/10.1145/3308560.3320083","mag":"2945741875"},"language":"en","primary_location":{"id":"doi:10.1145/3308560.3320083","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308560.3320083","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"},"type":"conference-abstract","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3308560.3320083","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051420635","display_name":"Omar Alonso","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164937","display_name":"Microsoft Research (United Kingdom)","ror":"https://ror.org/05k87vq12","country_code":"GB","type":"company","lineage":["https://openalex.org/I1290206253","https://openalex.org/I4210164937"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Omar Alonso","raw_affiliation_strings":["Microsoft"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Microsoft","institution_ids":["https://openalex.org/I4210164937"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5051420635"],"corresponding_institution_ids":["https://openalex.org/I4210164937"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1293","last_page":"1293"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9567000269889832,"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":0.9567000269889832,"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":0.9269208312034607},{"id":"https://openalex.org/keywords/ask-price","display_name":"Ask price","score":0.8262674808502197},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8021900057792664},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5687028169631958},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5618636012077332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5046714544296265},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.48570331931114197},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.478469580411911},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4605163335800171},{"id":"https://openalex.org/keywords/rest","display_name":"Rest (music)","score":0.41827547550201416},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.4163548946380615},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.19161704182624817},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.1704212725162506}],"concepts":[{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.9269208312034607},{"id":"https://openalex.org/C90329073","wikidata":"https://www.wikidata.org/wiki/Q914232","display_name":"Ask price","level":2,"score":0.8262674808502197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8021900057792664},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5687028169631958},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5618636012077332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5046714544296265},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.48570331931114197},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.478469580411911},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4605163335800171},{"id":"https://openalex.org/C77265313","wikidata":"https://www.wikidata.org/wiki/Q879844","display_name":"Rest (music)","level":2,"score":0.41827547550201416},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.4163548946380615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.19161704182624817},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.1704212725162506},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0},{"id":"https://openalex.org/C136264566","wikidata":"https://www.wikidata.org/wiki/Q159810","display_name":"Economy","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3308560.3320083","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308560.3320083","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3308560.3320083","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308560.3320083","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Companion Proceedings of The 2019 World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"Many":[0],"data":[1,57],"intensive":[2],"applications":[3],"that":[4,60,78],"use":[5,81],"machine":[6],"learning":[7],"or":[8,25],"artificial":[9],"intelligence":[10],"techniques":[11],"depend":[12],"on":[13],"humans":[14,28,83],"providing":[15],"the":[16,23,31,42,52,80,89],"initial":[17],"dataset,":[18],"enabling":[19],"algorithms":[20],"to":[21,29],"process":[22],"rest":[24],"for":[26,73],"other":[27],"evaluate":[30],"performance":[32],"of":[33,44,82,91],"such":[34],"algorithms.":[35],"There":[36],"are,":[37],"however,":[38],"practical":[39,71],"issues":[40],"with":[41,88],"adoption":[43],"human":[45],"computation":[46],"and":[47,75,84],"crowdsourcing":[48],"at":[49],"scale":[50],"in":[51,86],"real":[53],"world.":[54],"Building":[55],"systems":[56],"processing":[58],"pipelines":[59],"require":[61,79],"crowd":[62],"computing":[63],"remains":[64],"difficult.":[65],"In":[66],"this":[67],"tutorial,":[68],"we":[69],"present":[70],"considerations":[72],"designing":[74],"implementing":[76],"tasks":[77],"machines":[85],"combination":[87],"goal":[90],"producing":[92],"high":[93],"quality":[94],"labels.":[95]},"counts_by_year":[{"year":2019,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}