{"id":"https://openalex.org/W2522492899","doi":null,"title":"On quantifying the quality of information in social sensing","display_name":"On quantifying the quality of information in social sensing","publication_year":2012,"publication_date":"2012-01-01","ids":{"openalex":"https://openalex.org/W2522492899","mag":"2522492899"},"language":"en","primary_location":{"id":"pmh:oai:www.ideals.illinois.edu:2142/42261","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2142/42261","pdf_url":"https://www.ideals.illinois.edu/items/42208/bitstreams/127205/data.pdf","source":{"id":"https://openalex.org/S4306401358","display_name":"Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801919071","host_organization_name":"University of Illinois System","host_organization_lineage":["https://openalex.org/I2801919071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ideals.illinois.edu/items/42208/bitstreams/127205/data.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100391459","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-2493-1032","observed_orcids":["https://orcid.org/0000-0002-2493-1032"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Dong Wang","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-2493-1032","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5100391459"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.1089,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.92653217,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11704","display_name":"Mobile Crowdsensing and Crowdsourcing","score":0.9945999979972839,"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":0.9945999979972839,"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/T12879","display_name":"Distributed Sensor Networks and Detection Algorithms","score":0.0017000000225380063,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T10711","display_name":"Target Tracking and Data Fusion in Sensor Networks","score":0.00039999998989515007,"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/information-quality","display_name":"information quality","score":0.8880000114440918},{"id":"https://openalex.org/keywords/social-sensing","display_name":"social sensing","score":0.9919999837875366},{"id":"https://openalex.org/keywords/data-correctness","display_name":"data correctness","score":0.48399999737739563},{"id":"https://openalex.org/keywords/expectation-maximization-algorithm","display_name":"expectation-maximization algorithm","score":0.6700000166893005},{"id":"https://openalex.org/keywords/cramer-rao-lower-bound","display_name":"Cramer-Rao lower bound","score":0.9589999914169312},{"id":"https://openalex.org/keywords/data-fusion","display_name":"data fusion","score":0.671999990940094},{"id":"https://openalex.org/keywords/trust-evaluation","display_name":"trust evaluation","score":0.574999988079071},{"id":"https://openalex.org/keywords/crowdsensing","display_name":"crowdsensing","score":0.3319999873638153},{"id":"https://openalex.org/keywords/deception-detection","display_name":"deception detection","score":0.3149999976158142},{"id":"https://openalex.org/keywords/crowdsourced-data-quality","display_name":"crowdsourced data quality","score":0.3149999976158142},{"id":"https://openalex.org/keywords/data-provenance-verification","display_name":"data provenance verification","score":0.3190000057220459}],"concepts":[{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4978177547454834},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41841909289360046},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.326151967048645},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.2546807527542114},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:www.ideals.illinois.edu:2142/42261","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2142/42261","pdf_url":"https://www.ideals.illinois.edu/items/42208/bitstreams/127205/data.pdf","source":{"id":"https://openalex.org/S4306401358","display_name":"Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801919071","host_organization_name":"University of Illinois System","host_organization_lineage":["https://openalex.org/I2801919071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:2522492899","doi":null,"is_oa":false,"landing_page_url":"https://www.ideals.illinois.edu/handle/2142/42261","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:www.ideals.illinois.edu:2142/42261","doi":null,"is_oa":true,"landing_page_url":"http://hdl.handle.net/2142/42261","pdf_url":"https://www.ideals.illinois.edu/items/42208/bitstreams/127205/data.pdf","source":{"id":"https://openalex.org/S4306401358","display_name":"Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I2801919071","host_organization_name":"University of Illinois System","host_organization_lineage":["https://openalex.org/I2801919071"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G3413305687","display_name":"FIA: Collaborative Research: Named Data Networking (NDN)","funder_award_id":"1040380","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5259331294","display_name":null,"funder_award_id":"W911NF","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"},{"id":"https://openalex.org/G948678646","display_name":null,"funder_award_id":"W911NF-09-2-0053","funder_id":"https://openalex.org/F4320338295","funder_display_name":"Army Research Laboratory"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320308943","display_name":"Microsoft Research","ror":"https://ror.org/00d0nc645"},{"id":"https://openalex.org/F4320321806","display_name":"Lunds Universitet","ror":"https://ror.org/012a77v79"},{"id":"https://openalex.org/F4320332222","display_name":"University of Illinois at Urbana-Champaign","ror":"https://ror.org/047426m28"},{"id":"https://openalex.org/F4320338295","display_name":"Army Research Laboratory","ror":"https://ror.org/011hc8f90"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2522492899.pdf","grobid_xml":"https://content.openalex.org/works/W2522492899.grobid-xml"},"referenced_works_count":64,"referenced_works":["https://openalex.org/W82775311","https://openalex.org/W1483307070","https://openalex.org/W1486632395","https://openalex.org/W1497702967","https://openalex.org/W1525533660","https://openalex.org/W1553085258","https://openalex.org/W1565377632","https://openalex.org/W1586174999","https://openalex.org/W1648420042","https://openalex.org/W1667830255","https://openalex.org/W1725819718","https://openalex.org/W1742813727","https://openalex.org/W1885754552","https://openalex.org/W1988412055","https://openalex.org/W2000368422","https://openalex.org/W2036110521","https://openalex.org/W2038134612","https://openalex.org/W2049633694","https://openalex.org/W2053742104","https://openalex.org/W2064731085","https://openalex.org/W2066636486","https://openalex.org/W2067301942","https://openalex.org/W2073438437","https://openalex.org/W2073545563","https://openalex.org/W2077916131","https://openalex.org/W2084127140","https://openalex.org/W2087092764","https://openalex.org/W2097726984","https://openalex.org/W2101890615","https://openalex.org/W2102282908","https://openalex.org/W2105934661","https://openalex.org/W2108365287","https://openalex.org/W2112440119","https://openalex.org/W2117788706","https://openalex.org/W2117853077","https://openalex.org/W2118388899","https://openalex.org/W2124225884","https://openalex.org/W2125498390","https://openalex.org/W2125943921","https://openalex.org/W2127963147","https://openalex.org/W2130254564","https://openalex.org/W2131294487","https://openalex.org/W2131791780","https://openalex.org/W2137242774","https://openalex.org/W2138621811","https://openalex.org/W2139922600","https://openalex.org/W2144242878","https://openalex.org/W2145002834","https://openalex.org/W2145060596","https://openalex.org/W2149288670","https://openalex.org/W2151956781","https://openalex.org/W2154070811","https://openalex.org/W2155189155","https://openalex.org/W2159296364","https://openalex.org/W2162555816","https://openalex.org/W2163036976","https://openalex.org/W2167398077","https://openalex.org/W2169585110","https://openalex.org/W2170918595","https://openalex.org/W2171436624","https://openalex.org/W2171960770","https://openalex.org/W2303140368","https://openalex.org/W2799002609","https://openalex.org/W3204616723"],"related_works":["https://openalex.org/W230529994","https://openalex.org/W2963044698","https://openalex.org/W7098443960","https://openalex.org/W2756393536","https://openalex.org/W2038946499","https://openalex.org/W7065974160","https://openalex.org/W2155189155","https://openalex.org/W4253271685","https://openalex.org/W1423779789","https://openalex.org/W7038157238"],"abstract_inverted_index":{"This":[0],"thesis":[1,270,326,443],"develops":[2],"the":[3,10,23,33,55,74,111,117,132,155,158,182,228,231,247,264,285,291,297,319,322,328,333,352,405,410,428,432,445,453,464,490,497,502,517,529,534,544,548,565,588,608,613,625,633,640,657,661,669,682,687,695,698,715,721,752,755,766,772,781,788,798,810,814,818,821,844,854,871,878,884,890,902,907,915,935,941],"fundamental":[4],"theory":[5,338,727,846,880],"and":[6,71,84,90,92,99,116,136,288,302,339,355,374,426,479,514,582,594,624,710,728,732,754,780,838,851,889,926,938,943],"methodology":[7],"for":[8,47,360,735,797,862],"quantifying":[9],"Quality":[11],"of":[12,57,64,76,95,113,119,168,174,178,230,249,293,296,321,357,369,381,422,449,463,516,591,598,603,615,627,660,686,702,714,820,832,835,840,856,886,904,917,950],"Information":[13],"(QoI)":[14],"in":[15,32,73,104,109,128,268,279,371,399,414,472,552,569,600,632,651,697,725,746],"social":[16,20,105,129,361,415,450,553,570,863,873,910],"sensing.":[17,130,554],"We":[18,122,816,900],"refer":[19],"sensing":[21,24,34,40,106,362,416,451,571,864,874,911],"to":[22,153,181,187,195,203,226,245,317,342,348,365,389,392,409,475,495,506,542,547,619,675,681,692,759,770,869,881],"applications":[25,107,912],"where":[26,199],"humans":[27,140],"play":[28],"a":[29,44,62,196,211,219,308,366,394,507,558,595,644,666,803,858,947],"critical":[30],"role":[31],"or":[35,184,261,274,313],"data":[36,49,86,115,190,233,258,340,372,641,837,859,875,937],"collection":[37,191],"process.":[38],"Social":[39],"has":[41,848],"emerged":[42],"as":[43,420,830],"new":[45,346],"paradigm":[46],"sensory":[48],"collection,":[50],"which":[51,295,303,537],"is":[52,151,192,201,216,223,242,311,469,524,636,649,656,867],"motivated":[53],"by":[54,331,417,501,533,562,876,893],"proliferation":[56],"mobile":[58],"platforms":[59],"equipped":[60],"with":[61,134,237,345,639],"variety":[63],"sensors":[65],"(e.g.,":[66,88,921],"GPS,":[67],"camera,":[68],"microphone,":[69],"motion":[70],"etc.)":[72],"possession":[75],"common":[77],"individuals,":[78],"networking":[79],"capabilities":[80],"that":[81,157,210,377,468,577,635,648,807,913,930],"enable":[82],"fast":[83],"convenient":[85],"sharing":[87],"WiFi":[89],"4G)":[91],"large-scale":[93],"dissemination":[94],"opportunities":[96],"(Twitter,":[97],"Flicker":[98],"etc.).":[100,927],"A":[101],"significant":[102],"challenge":[103,125,448],"lies":[108],"ascertaining":[110],"correctness":[112,229,356,515,626],"collected":[114,232,257,287],"reliability":[118,248,292,354,513,623,717],"information":[120,251,400,482,604,887,945],"sources.":[121,953],"call":[123],"this":[124,269,442],"QoI":[126,446,549,566,773],"quantification":[127,412,447,509,550,567,646,659,774],"Unlike":[131],"case":[133],"well-calibrated":[135],"well-tested":[137],"infrastructure":[138],"sensors,":[139],"are":[141,214,259,300,304,690,784],"less":[142,897],"reliable.":[143],"The":[144,208,325,521,584],"term,":[145],"participant":[146,159,353,512,622,716],"(or":[147],"source)":[148],"{\\em":[149],"reliability\\/}":[150],"used":[152,170,471],"denote":[154],"probability":[156,492],"reports":[160],"correct":[161,215],"observations.":[162,899],"Reliability":[163],"may":[164,793],"be":[165,386,579,795],"impaired":[166],"because":[167],"poor":[169],"sensor":[171,175],"quality,":[172],"lack":[173,177,672],"calibration,":[176],"(human)":[179],"attention":[180],"task,":[183],"even":[185],"intent":[186],"deceive.":[188],"Moreover,":[189],"often":[193],"open":[194],"large":[197,367,596,948],"population,":[198],"it":[200,222,241,419],"impossible":[202],"screen":[204],"all":[205,652],"participants":[206],"beforehand.":[207],"likelihood":[209,560,617,700,757,768],"participant\u2019s":[212],"measurements":[213,286],"usually":[217],"unknown":[218,238],"priori.":[220],"Consequently,":[221],"very":[224],"challenging":[225,244],"ascertain":[227,246],"from":[234,336,437,452,946],"unreliable":[235,951],"sources":[236,478,888],"reliability.":[239],"Meanwhile,":[240],"also":[243],"each":[250],"source":[252,309],"without":[253,289],"knowing":[254,290],"whether":[255,273,307],"their":[256,358,480,628,678,730],"true":[260,301,942],"not.":[262],"Therefore,":[263],"main":[265],"questions":[266,330],"posed":[267],"are:":[271],"i)":[272],"not":[275,794],"we":[276,457,556,689,706,744,750,764,801],"can":[277,385,578,808],"determine,":[278],"an":[280,459,525,573],"optimal":[281,407,545,610],"way,":[282],"given":[283,787],"only":[284],"sources,":[294,833],"reported":[298,629],"observations":[299,359,518,778,891],"not?":[305,314],"ii)":[306],"(participant)":[310],"reliable":[312],"iii)":[315],"how":[316],"quantify":[318,350,694],"answers":[320],"above":[323,329,847],"questions?":[324],"answered":[327],"applying":[332],"key":[334,645],"insights":[335],"estimation":[337,429,438,662,670,701,718,726,811],"fusion":[341],"come":[343],"up":[344],"theories":[347],"accurately":[349],"both":[351,477,511,708],"applications.":[363,865],"Contrary":[364],"amount":[368,597],"literature":[370,474,655],"mining":[373],"machine":[375],"learning":[376],"use":[378],"various":[379],"kinds":[380],"heuristics":[382,599],"whose":[383],"inspiration":[384],"traced":[387],"back":[388],"Google's":[390],"PageRank":[391],"solve":[393,771],"similar":[395],"trust":[396,601],"analysis":[397,602],"problem":[398,413,551,568,576,775],"networks,":[401],"our":[402,539,747],"approach":[403,758],"provides":[404,607],"first":[406,491,609],"solution":[408,546,611],"OoI":[411],"casting":[418,564],"one":[421],"expectation":[423,574,683],"maximization":[424,575,684],"(EM)":[425],"quantifies":[427],"confidence":[430,658,667,696,712],"using":[431],"Cramer-Rao":[433,722],"lower":[434,723],"bound":[435,724],"(CRLB)":[436],"theory.":[439],"More":[440],"specifically,":[441],"addressed":[444],"following":[454],"perspectives.":[455],"First,":[456],"developed":[458,557,845,879],"analytically-founded":[460],"Bayesian":[461,522,592],"interpretation":[462,523,593],"basic":[465,535],"fact-finding":[466,654],"scheme":[467,527,586],"popularly":[470],"data-mining":[473],"rank":[476],"asserted":[481],"based":[483,493,528,719],"on":[484,510,720,813],"credibility":[485,498,885],"values.":[486],"Our":[487],"method":[488],"offers":[489],"semantics":[494],"interpret":[496],"results":[499,671,812],"output":[500],"fact-finders.":[503],"It":[504,606],"leads":[505],"direct":[508],"they":[519],"asserted.":[520],"approximation":[526],"linearity":[530],"assumption":[531],"made":[532,745,892],"fact-finders,":[536],"motivates":[538],"further":[540],"efforts":[541],"find":[543],"Second,":[555],"maximum":[559,616,699,756,767],"estimator":[561,769],"intelligently":[563],"into":[572,853],"solved":[580],"optimally":[581],"efficiently.":[583],"EM":[585,703,791,805,823],"overcomes":[587],"approximate":[589],"limitation":[590],"networks.":[605],"(in":[612],"sense":[614],"estimation)":[618],"jointly":[620,882],"estimate":[621,883],"measured":[630,782],"variables":[631,783],"way":[634],"most":[637],"consistent":[638],"collected.":[642],"Third,":[643],"metric":[647],"missing":[650],"previous":[653],"results.":[663],"Without":[664],"such":[665,829],"metric,":[668],"important":[673,944],"bounds":[674,713],"correctly":[676,939],"characterize":[677],"accuracy.":[679],"Thanks":[680],"formulation":[685],"problem,":[688],"able":[691],"exactly":[693],"scheme.":[704],"Specifically,":[705],"obtained":[707],"real":[709,908,919],"asymptotic":[711],"studied":[729],"scalability":[731],"robustness":[733],"limitations":[734],"different":[736,826],"application":[737],"scenarios.":[738],"Fourth,":[739],"considering":[740],"some":[741],"simplifying":[742],"assumptions":[743],"original":[748,789],"model,":[749],"extended":[751,765],"model":[753],"address":[760],"them.":[761],"In":[762],"particular,":[763],"when":[776],"conflicting":[777],"exists":[779],"non-binary.":[785],"Fifth,":[786],"iterative":[790],"algorithm":[792,806,824,841],"efficient":[796],"streaming":[799],"data,":[800],"proposed":[802],"recursive":[804,822],"compute":[809],"fly.":[815],"evaluate":[817],"performance":[819,903],"over":[825],"tradeoff":[827],"dimensions":[828],"trustworthiness":[831],"freshness":[834],"input":[836,936],"timeliness":[839],"execution.":[842],"Finally,":[843],"been":[849],"implemented":[850],"built":[852],"core":[855],"Apollo,":[857],"distillation":[860],"service":[861],"Apollo":[866,905,931],"designed":[868],"filter":[870],"noisy":[872],"leveraging":[877],"them,":[894],"then":[895],"remove":[896],"credible":[898],"evaluated":[901],"through":[906],"world":[909],"report":[914],"progression":[916],"several":[918],"events":[920],"Egypt":[922],"Unrest,":[923],"Hurricane":[924],"Irene":[925],"Results":[928],"demonstrated":[929],"effectively":[932],"cleans":[933],"out":[934],"identifies":[940],"crowd":[949],"human":[952]},"counts_by_year":[{"year":2015,"cited_by_count":5}],"updated_date":"2026-11-08T12:12:28.789561","created_date":"2016-09-30T00:00:00"}