{"id":"https://openalex.org/W3124643459","doi":"https://doi.org/10.1109/jsait.2021.3053545","title":"Impact of Social Learning on Privacy-Preserving Data Collection","display_name":"Impact of Social Learning on Privacy-Preserving Data Collection","publication_year":2021,"publication_date":"2021-01-22","ids":{"openalex":"https://openalex.org/W3124643459","doi":"https://doi.org/10.1109/jsait.2021.3053545","mag":"3124643459"},"language":"en","primary_location":{"id":"doi:10.1109/jsait.2021.3053545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2021.3053545","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Information Theory","raw_type":"journal-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/A5021617895","display_name":"Abdullah Ba\u015far Akbay","orcid":"https://orcid.org/0000-0002-6178-8052"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Abdullah Basar Akbay","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646894","display_name":"Weina Wang","orcid":"https://orcid.org/0000-0001-6808-0156"},"institutions":[{"id":"https://openalex.org/I74973139","display_name":"Carnegie Mellon University","ror":"https://ror.org/05x2bcf33","country_code":"US","type":"education","lineage":["https://openalex.org/I74973139"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Weina Wang","raw_affiliation_strings":["Carnegie Mellon University, Pittsburgh, PA, USA"],"affiliations":[{"raw_affiliation_string":"Carnegie Mellon University, Pittsburgh, PA, USA","institution_ids":["https://openalex.org/I74973139"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027033026","display_name":"Junshan Zhang","orcid":"https://orcid.org/0000-0002-3840-1753"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junshan Zhang","raw_affiliation_strings":["School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5021617895"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.2343,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.58459034,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2","issue":"1","first_page":"268","last_page":"282"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9962000250816345,"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":0.9962000250816345,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9911999702453613,"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/T11182","display_name":"Auction Theory and Applications","score":0.9842000007629395,"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/computer-science","display_name":"Computer science","score":0.752494752407074},{"id":"https://openalex.org/keywords/payment","display_name":"Payment","score":0.7078357934951782},{"id":"https://openalex.org/keywords/nash-equilibrium","display_name":"Nash equilibrium","score":0.5496014356613159},{"id":"https://openalex.org/keywords/bayesian-game","display_name":"Bayesian game","score":0.5169112682342529},{"id":"https://openalex.org/keywords/data-collection","display_name":"Data collection","score":0.4926663041114807},{"id":"https://openalex.org/keywords/game-theory","display_name":"Game theory","score":0.4732944369316101},{"id":"https://openalex.org/keywords/observability","display_name":"Observability","score":0.4656302332878113},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.45987552404403687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.37236011028289795},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3394225239753723},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.33124226331710815},{"id":"https://openalex.org/keywords/repeated-game","display_name":"Repeated game","score":0.2174816131591797},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.139649897813797},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.10349103808403015},{"id":"https://openalex.org/keywords/microeconomics","display_name":"Microeconomics","score":0.10203349590301514},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09568893909454346},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08949056267738342}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.752494752407074},{"id":"https://openalex.org/C145097563","wikidata":"https://www.wikidata.org/wiki/Q1148747","display_name":"Payment","level":2,"score":0.7078357934951782},{"id":"https://openalex.org/C46814582","wikidata":"https://www.wikidata.org/wiki/Q23389","display_name":"Nash equilibrium","level":2,"score":0.5496014356613159},{"id":"https://openalex.org/C200594392","wikidata":"https://www.wikidata.org/wiki/Q812529","display_name":"Bayesian game","level":4,"score":0.5169112682342529},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.4926663041114807},{"id":"https://openalex.org/C177142836","wikidata":"https://www.wikidata.org/wiki/Q44455","display_name":"Game theory","level":2,"score":0.4732944369316101},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.4656302332878113},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.45987552404403687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37236011028289795},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3394225239753723},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33124226331710815},{"id":"https://openalex.org/C202556891","wikidata":"https://www.wikidata.org/wiki/Q1584646","display_name":"Repeated game","level":3,"score":0.2174816131591797},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.139649897813797},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.10349103808403015},{"id":"https://openalex.org/C175444787","wikidata":"https://www.wikidata.org/wiki/Q39072","display_name":"Microeconomics","level":1,"score":0.10203349590301514},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09568893909454346},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08949056267738342},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jsait.2021.3053545","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jsait.2021.3053545","pdf_url":null,"source":{"id":"https://openalex.org/S4210211895","display_name":"IEEE Journal on Selected Areas in Information Theory","issn_l":"2641-8770","issn":["2641-8770"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal on Selected Areas in Information Theory","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4099999964237213,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G5749169914","display_name":null,"funder_award_id":"SaTC-1618768","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6126649102","display_name":null,"funder_award_id":"CNS-2003081","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G967286478","display_name":null,"funder_award_id":"CPS-1739344","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":48,"referenced_works":["https://openalex.org/W1499884756","https://openalex.org/W1506509256","https://openalex.org/W1993607151","https://openalex.org/W1994924378","https://openalex.org/W2016456216","https://openalex.org/W2030529668","https://openalex.org/W2035683813","https://openalex.org/W2063782051","https://openalex.org/W2091476183","https://openalex.org/W2097050150","https://openalex.org/W2099215475","https://openalex.org/W2109304399","https://openalex.org/W2112090702","https://openalex.org/W2120898858","https://openalex.org/W2123924311","https://openalex.org/W2125943921","https://openalex.org/W2140950724","https://openalex.org/W2148606196","https://openalex.org/W2149197198","https://openalex.org/W2157497706","https://openalex.org/W2164890430","https://openalex.org/W2168864823","https://openalex.org/W2169015768","https://openalex.org/W2186629520","https://openalex.org/W2295734738","https://openalex.org/W2311017751","https://openalex.org/W2311311203","https://openalex.org/W2501473864","https://openalex.org/W2513560644","https://openalex.org/W2560051878","https://openalex.org/W2574936495","https://openalex.org/W2755088640","https://openalex.org/W2757853533","https://openalex.org/W2783988488","https://openalex.org/W2800696118","https://openalex.org/W2895879715","https://openalex.org/W2911978475","https://openalex.org/W2951299674","https://openalex.org/W2963319311","https://openalex.org/W2964061570","https://openalex.org/W3010131536","https://openalex.org/W3106358908","https://openalex.org/W3122000667","https://openalex.org/W6630056047","https://openalex.org/W6686901961","https://openalex.org/W6726193151","https://openalex.org/W6732468634","https://openalex.org/W6758947373"],"related_works":["https://openalex.org/W4312141693","https://openalex.org/W1536009559","https://openalex.org/W1969185016","https://openalex.org/W2103821767","https://openalex.org/W2111030377","https://openalex.org/W2037619003","https://openalex.org/W2754655211","https://openalex.org/W2978746232","https://openalex.org/W2993241815","https://openalex.org/W2975191991"],"abstract_inverted_index":{"We":[0,57,86],"study":[1,65],"a":[2,6,14,59,99,112,163,180],"game-theoretic":[3],"model":[4],"where":[5],"data":[7,10,32,73,83,139],"collector":[8,33,84,140],"purchases":[9],"from":[11,146],"users":[12,143],"through":[13],"payment":[15,79,166,176],"mechanism.":[16],"Each":[17],"user":[18,41,121],"has":[19],"her":[20,25,48,123],"personal":[21,50],"signal":[22],"which":[23,52,129,149],"represents":[24],"knowledge":[26],"about":[27],"the":[28,31,66,78,82,89,95,138,142,152,159,173],"underlying":[29],"state":[30,160,184],"desires":[34],"to":[35,64,122,127,131,157,178],"learn.":[36],"Through":[37],"social":[38,69,147],"interactions,":[39],"each":[40,120],"can":[42,92,144],"also":[43],"learn":[44],"noisy":[45,124],"versions":[46],"of":[47,68,97,183],"friends'":[49],"signals,":[51],"are":[53],"called":[54],"`group":[55],"signals'.":[56],"develop":[58],"Bayesian":[60],"game":[61],"theoretic":[62],"framework":[63],"impact":[67],"learning":[70,148],"on":[71,172],"users'":[72],"reporting":[74],"strategies":[75],"and":[76,141,155],"devise":[77],"mechanism":[80],"for":[81,162],"accordingly.":[85],"show":[87],"that":[88,136],"Bayesian-Nash":[90],"equilibrium":[91],"be":[93],"in":[94],"form":[96],"either":[98],"symmetric":[100],"randomized":[101],"response":[102],"(SR)":[103],"strategy":[104,130],"or":[105],"an":[106],"informative":[107],"non-disclosive":[108],"(ND)":[109],"strategy.":[110],"Specifically,":[111],"generalized":[113],"majority":[114],"voting":[115],"rule":[116],"is":[117],"applied":[118],"by":[119],"group":[125],"signals":[126],"determine":[128],"follow.":[132],"Our":[133],"findings":[134],"reveal":[135],"both":[137],"benefit":[145],"drives":[150],"down":[151],"privacy":[153],"costs":[154],"helps":[156],"improve":[158],"estimation":[161,185],"given":[164,181],"total":[165,175],"budget.":[167],"Further,":[168],"we":[169],"derive":[170],"bounds":[171],"minimum":[174],"required":[177],"achieve":[179],"level":[182],"accuracy.":[186]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}