{"id":"https://openalex.org/W2289231615","doi":"https://doi.org/10.1145/2818048.2820022","title":"When the Crowd is Not Enough","display_name":"When the Crowd is Not Enough","publication_year":2016,"publication_date":"2016-02-27","ids":{"openalex":"https://openalex.org/W2289231615","doi":"https://doi.org/10.1145/2818048.2820022","mag":"2289231615"},"language":"en","primary_location":{"id":"doi:10.1145/2818048.2820022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2818048.2820022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work &amp; Social Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5080491347","display_name":"Dan Pelleg","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dan Pelleg","raw_affiliation_strings":["Yahoo Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Labs","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024656386","display_name":"Oleg Rokhlenko","orcid":"https://orcid.org/0000-0002-7158-9161"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Oleg Rokhlenko","raw_affiliation_strings":["Yahoo Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Labs","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026091724","display_name":"Idan Szpektor","orcid":null},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Idan Szpektor","raw_affiliation_strings":["Yahoo Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo Labs","institution_ids":["https://openalex.org/I4210134091"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028578280","display_name":"Eugene Agichtein","orcid":"https://orcid.org/0000-0002-3148-5448"},"institutions":[{"id":"https://openalex.org/I150468666","display_name":"Emory University","ror":"https://ror.org/03czfpz43","country_code":"US","type":"education","lineage":["https://openalex.org/I150468666"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eugene Agichtein","raw_affiliation_strings":["Emory University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Emory University","institution_ids":["https://openalex.org/I150468666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035284207","display_name":"Ido Guy","orcid":"https://orcid.org/0000-0002-5525-1064"},"institutions":[{"id":"https://openalex.org/I4210134091","display_name":"Yahoo (United States)","ror":"https://ror.org/040dkzz12","country_code":"US","type":"company","lineage":["https://openalex.org/I4210134091"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ido Guy","raw_affiliation_strings":["Yahoo! Labs"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yahoo! Labs","institution_ids":["https://openalex.org/I4210134091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8344,"has_fulltext":false,"cited_by_count":9,"citation_normalized_percentile":{"value":0.86159815,"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":"1080","last_page":"1090"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T13274","display_name":"Expert finding and Q&A systems","score":0.9998999834060669,"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"}},{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9994999766349792,"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/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/crowds","display_name":"Crowds","score":0.8776998519897461},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8054364919662476},{"id":"https://openalex.org/keywords/downgrade","display_name":"Downgrade","score":0.7541826963424683},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.6652011871337891},{"id":"https://openalex.org/keywords/user-engagement","display_name":"User engagement","score":0.6301153898239136},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.6011822819709778},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.519199013710022},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.4758985936641693},{"id":"https://openalex.org/keywords/crowdsourcing","display_name":"Crowdsourcing","score":0.47463569045066833},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.44094550609588623},{"id":"https://openalex.org/keywords/content","display_name":"Content (measure theory)","score":0.4113043546676636},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3994444012641907},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3251797556877136},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.32197797298431396},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1647927165031433}],"concepts":[{"id":"https://openalex.org/C2777852691","wikidata":"https://www.wikidata.org/wiki/Q13430821","display_name":"Crowds","level":2,"score":0.8776998519897461},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8054364919662476},{"id":"https://openalex.org/C2779628075","wikidata":"https://www.wikidata.org/wiki/Q1253258","display_name":"Downgrade","level":2,"score":0.7541826963424683},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.6652011871337891},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.6301153898239136},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.6011822819709778},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.519199013710022},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.4758985936641693},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.47463569045066833},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.44094550609588623},{"id":"https://openalex.org/C2778152352","wikidata":"https://www.wikidata.org/wiki/Q5165061","display_name":"Content (measure theory)","level":2,"score":0.4113043546676636},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3994444012641907},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3251797556877136},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.32197797298431396},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1647927165031433},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2818048.2820022","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2818048.2820022","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work &amp; Social Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1507711477","https://openalex.org/W1532325895","https://openalex.org/W1730818938","https://openalex.org/W1854214752","https://openalex.org/W1969110260","https://openalex.org/W1973602439","https://openalex.org/W1974595223","https://openalex.org/W1975143876","https://openalex.org/W1995971763","https://openalex.org/W1999969345","https://openalex.org/W2008437643","https://openalex.org/W2037858832","https://openalex.org/W2038385982","https://openalex.org/W2043382629","https://openalex.org/W2057415299","https://openalex.org/W2061503185","https://openalex.org/W2062020370","https://openalex.org/W2063248556","https://openalex.org/W2068223736","https://openalex.org/W2079168273","https://openalex.org/W2084591134","https://openalex.org/W2084664053","https://openalex.org/W2087818911","https://openalex.org/W2099967331","https://openalex.org/W2102154902","https://openalex.org/W2102956348","https://openalex.org/W2103012681","https://openalex.org/W2103256129","https://openalex.org/W2109115148","https://openalex.org/W2114068176","https://openalex.org/W2120660108","https://openalex.org/W2120779048","https://openalex.org/W2126104150","https://openalex.org/W2134353060","https://openalex.org/W2135555017","https://openalex.org/W2138621811","https://openalex.org/W2142830965","https://openalex.org/W2147453867","https://openalex.org/W2159133636","https://openalex.org/W2161152375","https://openalex.org/W2204321545","https://openalex.org/W2251456342","https://openalex.org/W3124946654","https://openalex.org/W4213009331","https://openalex.org/W4233413206"],"related_works":["https://openalex.org/W3206633188","https://openalex.org/W2041034096","https://openalex.org/W2058759559","https://openalex.org/W3032998312","https://openalex.org/W135177976","https://openalex.org/W4384486036","https://openalex.org/W1503094549","https://openalex.org/W2392180086","https://openalex.org/W2792049201","https://openalex.org/W2337920774"],"abstract_inverted_index":{"Social":[0],"media":[1,128],"gives":[2],"voice":[3],"to":[4,12,33,41,52,66,104],"the":[5,10,17,20,26,29,36,39,74,77,107,118],"people,":[6],"but":[7],"also":[8],"opens":[9],"door":[11],"low-quality":[13],"contributions,":[14],"which":[15],"degrade":[16],"experience":[18],"for":[19],"majority":[21],"of":[22,38,79,87,124],"users.":[23],"To":[24,112],"address":[25],"latter":[27],"issue,":[28],"prevailing":[30],"solution":[31],"is":[32],"rely":[34],"on":[35,76],"'wisdom":[37],"crowds'":[40],"promote":[42],"good":[43],"content":[44,129],"(e.g.,":[45],"via":[46],"votes":[47],"or":[48,51],"'like'":[49],"buttons),":[50],"downgrade":[53],"bad":[54],"content.":[55],"Unfortunately,":[56],"such":[57],"crowd":[58],"feedback":[59],"may":[60],"be":[61],"sparse,":[62],"subjective,":[63],"and":[64,90,110,147],"slow":[65],"accumulate.":[67],"In":[68],"this":[69,94,115],"pa-":[70],"per,":[71],"we":[72],"investigate":[73],"effects,":[75],"users,":[78],"automatically":[80,125],"filtering":[81,139],"question-answering":[82],"content,":[83],"using":[84],"a":[85,96],"combination":[86],"syntactic,":[88],"semantic,":[89],"social":[91,127],"signals.":[92],"Using":[93],"filtering,":[95],"large-scale":[97,121],"experiment":[98,116],"with":[99],"real":[100,131],"users":[101],"was":[102],"performed":[103],"mea-":[105],"sure":[106],"resulting":[108],"engagement":[109],"satisfaction.":[111],"our":[113],"knowledge,":[114],"represents":[117],"first":[119],"reported":[120],"user":[122,142],"study":[123],"curating":[126],"in":[130],"time.":[132],"Our":[133],"results":[134],"show":[135],"that":[136],"automated":[137],"quality":[138,151],"indeed":[140],"improves":[141],"engagement,":[143],"usually":[144],"aligning":[145],"with,":[146],"often":[148],"outperforming,":[149],"crowd-based":[150],"judgments.":[152]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
