{"id":"https://openalex.org/W3032524080","doi":"https://doi.org/10.1145/3334480.3382800","title":"A Privacy-Preserving Framework for Collecting Demographic Information","display_name":"A Privacy-Preserving Framework for Collecting Demographic Information","publication_year":2020,"publication_date":"2020-04-25","ids":{"openalex":"https://openalex.org/W3032524080","doi":"https://doi.org/10.1145/3334480.3382800","mag":"3032524080"},"language":"en","primary_location":{"id":"doi:10.1145/3334480.3382800","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3382800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","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/A5061449471","display_name":"Afra Mashhadi","orcid":"https://orcid.org/0000-0003-4631-4438"},"institutions":[{"id":"https://openalex.org/I4210138624","display_name":"University of Washington Bothell","ror":"https://ror.org/02ygzhr13","country_code":"US","type":"education","lineage":["https://openalex.org/I201448701","https://openalex.org/I4210138624"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Afra Mashhadi","raw_affiliation_strings":["University of Washington, Bothell, WA, USA"],"affiliations":[{"raw_affiliation_string":"University of Washington, Bothell, WA, USA","institution_ids":["https://openalex.org/I4210138624"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5061449471"],"corresponding_institution_ids":["https://openalex.org/I4210138624"],"apc_list":null,"apc_paid":null,"fwci":0.0977,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.3761343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11448","display_name":"Face recognition and analysis","score":0.9987000226974487,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11980","display_name":"Human Mobility and Location-Based Analysis","score":0.9840999841690063,"subfield":{"id":"https://openalex.org/subfields/3313","display_name":"Transportation"},"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9747999906539917,"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/computer-science","display_name":"Computer science","score":0.7861098051071167},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.657219409942627},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5293664932250977},{"id":"https://openalex.org/keywords/inclusion","display_name":"Inclusion (mineral)","score":0.4959021508693695},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.45360809564590454},{"id":"https://openalex.org/keywords/information-sharing","display_name":"Information sharing","score":0.44272732734680176},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4170714020729065},{"id":"https://openalex.org/keywords/social-media","display_name":"Social media","score":0.4156903922557831},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.37537527084350586},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.30527547001838684},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.30215737223625183}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7861098051071167},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.657219409942627},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5293664932250977},{"id":"https://openalex.org/C109359841","wikidata":"https://www.wikidata.org/wiki/Q728944","display_name":"Inclusion (mineral)","level":2,"score":0.4959021508693695},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.45360809564590454},{"id":"https://openalex.org/C2776854237","wikidata":"https://www.wikidata.org/wiki/Q6031064","display_name":"Information sharing","level":2,"score":0.44272732734680176},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4170714020729065},{"id":"https://openalex.org/C518677369","wikidata":"https://www.wikidata.org/wiki/Q202833","display_name":"Social media","level":2,"score":0.4156903922557831},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.37537527084350586},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.30527547001838684},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.30215737223625183},{"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/C107993555","wikidata":"https://www.wikidata.org/wiki/Q1662673","display_name":"Gender studies","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3334480.3382800","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3334480.3382800","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1969019410","https://openalex.org/W1978642336","https://openalex.org/W1997011019","https://openalex.org/W2013416264","https://openalex.org/W2013823004","https://openalex.org/W2043500582","https://openalex.org/W2088753141","https://openalex.org/W2150114777","https://openalex.org/W2515770085","https://openalex.org/W2626769593","https://openalex.org/W2810463027","https://openalex.org/W2891979287","https://openalex.org/W2963839617","https://openalex.org/W4245134515","https://openalex.org/W4253597794"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4390608645","https://openalex.org/W4247566972","https://openalex.org/W4394895745","https://openalex.org/W2960264696","https://openalex.org/W3090563135","https://openalex.org/W2497432351","https://openalex.org/W4206777497","https://openalex.org/W2910064364","https://openalex.org/W4200136508"],"abstract_inverted_index":{"Currently":[0],"one":[1],"of":[2,17,24,48,56,63,78,119],"the":[3,15,25,54,61,67,76,79,120],"biggest":[4],"challenges":[5],"regarding":[6],"demographic":[7,19,102],"detection":[8],"in":[9,38],"images":[10,100],"and":[11,44,101,128],"social":[12],"media":[13],"is":[14,27,60,114],"lack":[16,47,62],"labelled":[18,49],"data.":[20],"A":[21],"big":[22],"part":[23],"challenge":[26],"that":[28,41,110,112],"no":[29],"suitable":[30],"mechanism":[31],"exists":[32],"to":[33,66,74,86,126],"replace":[34],"traditional":[35],"intercept":[36],"surveys":[37],"a":[39,95],"way":[40],"ensures":[42,111],"fairness":[43],"inclusion.":[45],"The":[46],"data":[50,121],"has":[51,70],"also":[52],"impacted":[53],"training":[55],"AI":[57,80],"algorithms.":[58],"That":[59],"labels":[64,103],"relevant":[65],"target":[68],"domains":[69],"made":[71],"it":[72],"hard":[73],"estimate":[75],"accuracy":[77],"algorithms":[81],"when":[82],"they":[83],"are":[84],"applied":[85],"real":[87],"world":[88],"situations.":[89],"In":[90],"this":[91],"paper,":[92],"we":[93],"propose":[94],"framework":[96],"for":[97],"collecting":[98],"in-the-wild":[99],"from":[104,124],"ordinary":[105],"people":[106],"(e.g.,":[107],"park":[108],"visitors)":[109],"privacy":[113],"integrated":[115],"at":[116],"every":[117],"stage":[118],"collection":[122],"process":[123],"storage":[125],"processing":[127],"sharing.":[129]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
