{"id":"https://openalex.org/W4385567648","doi":"https://doi.org/10.1145/3580305.3599340","title":"Fair Allocation Over Time, with Applications to Content Moderation","display_name":"Fair Allocation Over Time, with Applications to Content Moderation","publication_year":2023,"publication_date":"2023-08-04","ids":{"openalex":"https://openalex.org/W4385567648","doi":"https://doi.org/10.1145/3580305.3599340"},"language":"en","primary_location":{"id":"doi:10.1145/3580305.3599340","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"},"type":"article","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/A5083280377","display_name":"Amine Allouah","orcid":"https://orcid.org/0000-0001-9919-0606"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Amine Allouah","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083207349","display_name":"Christian Kroer","orcid":"https://orcid.org/0000-0002-9009-8683"},"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":"Christian Kroer","raw_affiliation_strings":["Columbia University, New York, NY, USA"],"affiliations":[{"raw_affiliation_string":"Columbia University, New York, NY, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056605785","display_name":"Xuan Zhang","orcid":"https://orcid.org/0000-0002-6535-5449"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xuan Zhang","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078625185","display_name":"Vashist Avadhanula","orcid":"https://orcid.org/0000-0002-3045-691X"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vashist Avadhanula","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092595826","display_name":"Nona Bohanon","orcid":null},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nona Bohanon","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030503397","display_name":"Anil Dania","orcid":"https://orcid.org/0009-0007-7566-4521"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anil Dania","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007842063","display_name":"Caner Gocmen","orcid":"https://orcid.org/0009-0003-7725-8309"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Caner Gocmen","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058217001","display_name":"Sergey Pupyrev","orcid":"https://orcid.org/0000-0003-4089-673X"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sergey Pupyrev","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103253365","display_name":"Parikshit Shah","orcid":"https://orcid.org/0009-0000-3019-2144"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Parikshit Shah","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063786888","display_name":"Nicol\u00e1s E. Stier\u2010Moses","orcid":"https://orcid.org/0000-0001-6380-1516"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nicolas Stier-Moses","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092595825","display_name":"Ken Rodr\u00edguez Taarup","orcid":"https://orcid.org/0009-0007-4110-8754"},"institutions":[{"id":"https://openalex.org/I4210099336","display_name":"Menlo School","ror":"https://ror.org/01240pn49","country_code":"US","type":"education","lineage":["https://openalex.org/I4210099336"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ken Rodr\u00edguez Taarup","raw_affiliation_strings":["Meta, Menlo Park, CA, USA"],"affiliations":[{"raw_affiliation_string":"Meta, Menlo Park, CA, USA","institution_ids":["https://openalex.org/I4210099336"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":11,"corresponding_author_ids":["https://openalex.org/A5083280377"],"corresponding_institution_ids":["https://openalex.org/I4210099336"],"apc_list":null,"apc_paid":null,"fwci":0.4566,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.67725258,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"25","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11644","display_name":"Spam and Phishing Detection","score":0.9904999732971191,"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/T11644","display_name":"Spam and Phishing Detection","score":0.9904999732971191,"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/T11031","display_name":"Game Theory and Applications","score":0.9890999794006348,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11182","display_name":"Auction Theory and Applications","score":0.988099992275238,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/workload","display_name":"Workload","score":0.7626602649688721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7198934555053711},{"id":"https://openalex.org/keywords/moderation","display_name":"Moderation","score":0.6766636967658997},{"id":"https://openalex.org/keywords/planner","display_name":"Planner","score":0.5822052955627441},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.5366442203521729},{"id":"https://openalex.org/keywords/time-allocation","display_name":"Time allocation","score":0.44560515880584717},{"id":"https://openalex.org/keywords/resource-allocation","display_name":"Resource allocation","score":0.43169906735420227},{"id":"https://openalex.org/keywords/operations-research","display_name":"Operations research","score":0.4110737144947052},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.18504106998443604},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.16047170758247375},{"id":"https://openalex.org/keywords/economics","display_name":"Economics","score":0.14966288208961487},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.13253450393676758},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.09922462701797485}],"concepts":[{"id":"https://openalex.org/C2778476105","wikidata":"https://www.wikidata.org/wiki/Q628539","display_name":"Workload","level":2,"score":0.7626602649688721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7198934555053711},{"id":"https://openalex.org/C93225998","wikidata":"https://www.wikidata.org/wiki/Q1941972","display_name":"Moderation","level":2,"score":0.6766636967658997},{"id":"https://openalex.org/C2776999362","wikidata":"https://www.wikidata.org/wiki/Q2349274","display_name":"Planner","level":2,"score":0.5822052955627441},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.5366442203521729},{"id":"https://openalex.org/C180518391","wikidata":"https://www.wikidata.org/wiki/Q355217","display_name":"Time allocation","level":2,"score":0.44560515880584717},{"id":"https://openalex.org/C29202148","wikidata":"https://www.wikidata.org/wiki/Q287260","display_name":"Resource allocation","level":2,"score":0.43169906735420227},{"id":"https://openalex.org/C42475967","wikidata":"https://www.wikidata.org/wiki/Q194292","display_name":"Operations research","level":1,"score":0.4110737144947052},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.18504106998443604},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.16047170758247375},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.14966288208961487},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.13253450393676758},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.09922462701797485},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"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/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3580305.3599340","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3580305.3599340","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4699999988079071,"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":13,"referenced_works":["https://openalex.org/W1974874470","https://openalex.org/W1980938853","https://openalex.org/W2042127730","https://openalex.org/W2042413420","https://openalex.org/W2964034671","https://openalex.org/W3011924088","https://openalex.org/W3015797191","https://openalex.org/W3035174345","https://openalex.org/W3080755960","https://openalex.org/W3081389081","https://openalex.org/W3115959263","https://openalex.org/W3124038879","https://openalex.org/W4252822417"],"related_works":["https://openalex.org/W1568779110","https://openalex.org/W804484174","https://openalex.org/W2740268725","https://openalex.org/W3093710306","https://openalex.org/W750217911","https://openalex.org/W3149929906","https://openalex.org/W1980320339","https://openalex.org/W2371461469","https://openalex.org/W1489980395","https://openalex.org/W2384253597"],"abstract_inverted_index":{"In":[0],"today's":[1],"digital":[2],"world,":[3],"interaction":[4],"with":[5,25,246],"online":[6,36],"platforms":[7],"is":[8,14,49,110,134,193,198,284],"ubiquitous,":[9],"and":[10,74,81,236],"thus":[11],"content":[12,20,34,41,61,66,116,164,168],"moderation":[13,42],"important":[15],"for":[16,85,208,231,263],"protecting":[17],"users":[18],"from":[19,71,162,185,274,298],"that":[21,102,133,147,197,203,239,269,279],"do":[22],"not":[23,148,271],"comply":[24],"pre-established":[26],"community":[27],"guidelines.":[28],"Given":[29],"the":[30,54,76,92,111,122,126,137,151,158,163,181,186,201,209,218,226,232,252,280,288],"vast":[31],"volume":[32],"of":[33,47,58,78,91,104,114,173,225,290],"generated":[35],"daily,":[37],"having":[38],"an":[39,145,267],"efficient":[40],"system":[43],"throughout":[44],"every":[45],"stage":[46],"planning":[48,56],"particularly":[50],"important.":[51],"We":[52,68,128,286],"study":[53,75],"short-term":[55],"problem":[57],"allocating":[59],"human":[60],"reviewers":[62,165,210],"to":[63,143,213,251,259,276],"different":[64,115],"harmful":[65],"categories.":[67,169],"use":[69],"tools":[70],"fair":[72,171,228],"division":[73],"application":[77],"competitive":[79],"equilibrium":[80],"leximin":[82],"allocation":[83,123,146,172,196,229,265,268],"rules":[84],"addressing":[86],"this":[87],"problem.":[88],"On":[89],"top":[90],"traditional":[93],"Fisher":[94],"market":[95],"setup,":[96],"we":[97,221,237,255],"additionally":[98,256],"incorporate":[99],"novel":[100],"aspects":[101],"are":[103],"practical":[105,191],"importance.":[106],"The":[107,189],"first":[108],"aspect":[109],"forecasted":[112,152],"workload":[113,183],"categories,":[117],"which":[118],"puts":[119],"constraints":[120],"on":[121],"chosen":[124],"by":[125,136,200],"planner.":[127],"show":[129,238],"how":[130,258],"a":[131,176],"formulation":[132],"inspired":[135],"celebrated":[138],"Eisenberg-Gale":[139],"program":[140],"allows":[141],"us":[142],"find":[144],"only":[149],"satisfies":[150],"workload,":[153],"but":[154],"also":[155],"fairly":[156],"allocates":[157],"remaining":[159],"working":[160],"hours":[161],"among":[166],"all":[167],"A":[170],"oversupply":[174],"provides":[175],"guardrail":[177],"in":[178,243,282],"cases":[179],"where":[180],"actual":[182],"deviates":[184],"predicted":[187],"workload.":[188],"second":[190],"consideration":[192],"time":[194,219,253,275],"dependent":[195],"motivated":[199],"fact":[202],"partners":[204],"need":[205],"scheduling":[206],"guidance":[207],"across":[211],"days":[212],"achieve":[214],"efficiency.":[215],"To":[216],"address":[217],"component,":[220,254],"introduce":[222],"new":[223],"extensions":[224],"various":[227],"approaches":[230,293],"single-time":[233],"period":[234],"setting,":[235],"many":[240],"properties":[241],"extend":[242],"essence,":[244],"albeit":[245],"some":[247],"modifications.":[248],"Lastly,":[249],"related":[250],"investigate":[257],"satisfy":[260],"markets'":[261],"desire":[262],"smooth":[264],"(i.e,":[266],"does":[270],"vary":[272],"much":[273],"time)":[277],"so":[278],"switch":[281],"staffing":[283],"minimized.":[285],"demonstrate":[287],"performance":[289],"our":[291],"proposed":[292],"through":[294],"real-world":[295],"data":[296],"obtained":[297],"Meta.":[299]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}