{"id":"https://openalex.org/W3182663804","doi":"https://doi.org/10.1145/3466933.3466937","title":"An indicator of inefficient visualizations: the challenge of transparency during the COVID-19 pandemic in Brazil","display_name":"An indicator of inefficient visualizations: the challenge of transparency during the COVID-19 pandemic in Brazil","publication_year":2021,"publication_date":"2021-06-07","ids":{"openalex":"https://openalex.org/W3182663804","doi":"https://doi.org/10.1145/3466933.3466937","mag":"3182663804"},"language":"en","primary_location":{"id":"doi:10.1145/3466933.3466937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3466933.3466937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XVII Brazilian Symposium on Information 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/A5014279118","display_name":"Rodrigo Mota de Oliveira","orcid":"https://orcid.org/0000-0002-5628-0131"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":true,"raw_author_name":"Rodrigo Oliveira","raw_affiliation_strings":["Federal University of Rio de Janeiro"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio de Janeiro","institution_ids":["https://openalex.org/I122140584"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062583839","display_name":"Cl\u00e1udia Cappelli","orcid":"https://orcid.org/0000-0003-1699-3492"},"institutions":[{"id":"https://openalex.org/I40034438","display_name":"Universidade do Estado do Rio de Janeiro","ror":"https://ror.org/0198v2949","country_code":"BR","type":"education","lineage":["https://openalex.org/I40034438"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Claudia Cappelli","raw_affiliation_strings":["University of the State of Rio de Janeiro"],"affiliations":[{"raw_affiliation_string":"University of the State of Rio de Janeiro","institution_ids":["https://openalex.org/I40034438"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070925430","display_name":"Jonice Oliveira","orcid":"https://orcid.org/0000-0002-2495-1463"},"institutions":[{"id":"https://openalex.org/I122140584","display_name":"Universidade Federal do Rio de Janeiro","ror":"https://ror.org/03490as77","country_code":"BR","type":"education","lineage":["https://openalex.org/I122140584"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Jonice Oliveira","raw_affiliation_strings":["Federal University of Rio de Janeiro"],"affiliations":[{"raw_affiliation_string":"Federal University of Rio de Janeiro","institution_ids":["https://openalex.org/I122140584"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014279118"],"corresponding_institution_ids":["https://openalex.org/I122140584"],"apc_list":null,"apc_paid":null,"fwci":0.4803,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.6445915,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"33","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9970999956130981,"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/T10799","display_name":"Data Visualization and Analytics","score":0.9970999956130981,"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/T13979","display_name":"Communication and COVID-19 Impact","score":0.9567000269889832,"subfield":{"id":"https://openalex.org/subfields/3315","display_name":"Communication"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.785573422908783},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.756872296333313},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.6977036595344543},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5591407418251038},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.5380529761314392},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5142197608947754},{"id":"https://openalex.org/keywords/artifact","display_name":"Artifact (error)","score":0.5138352513313293},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.4991018772125244},{"id":"https://openalex.org/keywords/information-visualization","display_name":"Information visualization","score":0.4865531027317047},{"id":"https://openalex.org/keywords/resource","display_name":"Resource (disambiguation)","score":0.4631248414516449},{"id":"https://openalex.org/keywords/graphics","display_name":"Graphics","score":0.44087567925453186},{"id":"https://openalex.org/keywords/government","display_name":"Government (linguistics)","score":0.4394085705280304},{"id":"https://openalex.org/keywords/pandemic","display_name":"Pandemic","score":0.42566749453544617},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.2798256278038025},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18810278177261353},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.16304746270179749}],"concepts":[{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.785573422908783},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.756872296333313},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.6977036595344543},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5591407418251038},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.5380529761314392},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5142197608947754},{"id":"https://openalex.org/C2779010991","wikidata":"https://www.wikidata.org/wiki/Q2720909","display_name":"Artifact (error)","level":2,"score":0.5138352513313293},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.4991018772125244},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4865531027317047},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.4631248414516449},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.44087567925453186},{"id":"https://openalex.org/C2778137410","wikidata":"https://www.wikidata.org/wiki/Q2732820","display_name":"Government (linguistics)","level":2,"score":0.4394085705280304},{"id":"https://openalex.org/C89623803","wikidata":"https://www.wikidata.org/wiki/Q12184","display_name":"Pandemic","level":5,"score":0.42566749453544617},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.2798256278038025},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18810278177261353},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.16304746270179749},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3466933.3466937","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3466933.3466937","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"XVII Brazilian Symposium on Information Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8399999737739563,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W884650706","https://openalex.org/W1521597791","https://openalex.org/W1969955555","https://openalex.org/W1987320483","https://openalex.org/W2115860093","https://openalex.org/W2121631332","https://openalex.org/W2130736456","https://openalex.org/W2136922540","https://openalex.org/W2138199375","https://openalex.org/W2148086818","https://openalex.org/W2151999345","https://openalex.org/W2157900633","https://openalex.org/W2159593279","https://openalex.org/W2519813208","https://openalex.org/W2579555219","https://openalex.org/W2617143802","https://openalex.org/W2750322846","https://openalex.org/W2789401906","https://openalex.org/W2801435397","https://openalex.org/W2902422655","https://openalex.org/W2984486063","https://openalex.org/W2996298024","https://openalex.org/W3027134663","https://openalex.org/W3034271081","https://openalex.org/W4242948486","https://openalex.org/W4247200431"],"related_works":["https://openalex.org/W3010975807","https://openalex.org/W2027333138","https://openalex.org/W3185027765","https://openalex.org/W2096373083","https://openalex.org/W2105200106","https://openalex.org/W2151530263","https://openalex.org/W3009051979","https://openalex.org/W2104025928","https://openalex.org/W1574055964","https://openalex.org/W2295030662"],"abstract_inverted_index":{"The":[0],"COVID-19":[1],"epidemic":[2],"requires":[3],"clear":[4],"and":[5,51,111,158,183,205,217],"reliable":[6],"information":[7],"to":[8,17,19,33,40,76,81,84,219,244],"guide":[9,107],"the":[10,20,74,85,89,113,129,143,151,166,175,180,185,192,202,211,221,225,228,234,239,246,249],"population.":[11],"Visualization":[12],"is":[13,30,38,213],"a":[14,98,102,195],"powerful":[15],"tool":[16],"contribute":[18],"understanding":[21,247],"of":[22,88,104,131,145,177,187,236,248],"this":[23,28,35,45,48,63,146],"data.":[24],"However,":[25],"just":[26],"divulging":[27],"resource":[29],"not":[31,127,243],"enough":[32],"guarantee":[34],"understanding.":[36],"It":[37],"important":[39],"support":[41],"users":[42,56,198],"in":[43,142,165,172,215,233],"analyzing":[44,179],"data,":[46],"making":[47],"process":[49],"easier":[50],"more":[52],"transparent,":[53],"especially":[54],"for":[55,137,154,227,230],"with":[57,73,197],"little":[58],"(or":[59],"no)":[60],"literacy.":[61],"In":[62],"work,":[64],"we":[65,125,208],"define":[66],"an":[67],"inefficient":[68],"graphics":[69,237],"indicator,":[70],"that":[71,106,140,210],"is,":[72],"potential":[75],"be":[77,120,163],"misinterpreted":[78],"or":[79,134,149],"difficult":[80],"understand,":[82],"according":[83],"basic":[86],"guidelines":[87,94],"data":[90,138,204],"visualization":[91,109,139],"area.":[92],"These":[93],"were":[95],"selected":[96],"through":[97],"literature":[99],"review,":[100],"forming":[101],"repository":[103],"practices":[105],"good":[108],"design":[110],"provide":[112],"indicator":[114,212],"assessment":[115],"items.":[116],"This":[117,160],"proposal":[118],"can":[119,162],"applied":[121,164],"inis":[122],"necessary":[123],"because":[124],"do":[126],"perceive":[128],"existence":[130],"standards,":[132],"norms":[133],"quality":[135],"indicators":[136],"assist":[141],"creation":[144,235],"artifact":[147],"efficiently":[148],"evaluate":[150],"existing":[152],"ones":[153],"improvement,":[155],"both":[156],"manually":[157],"automatically.":[159],"approach":[161],"most":[167],"diverse":[168],"scenarios,":[169],"being":[170],"initially":[171],"Brazil":[173],"during":[174],"dissemination":[176],"COVID-19,":[178],"official":[181,203],"visualizations":[182],"highlighting":[184],"failures":[186],"several":[188],"epidemiological":[189],"perspectives":[190],"on":[191],"pandemic.":[193],"Through":[194],"study":[196],"where":[199],"volunteers":[200],"analyzed":[201],"our":[206],"recommendations,":[207],"demonstrated":[209],"effective":[214],"detecting":[216],"helping":[218],"understand":[220],"visualization.":[222],"We":[223],"highlight":[224],"alert":[226],"need":[229],"greater":[231],"care":[232],"by":[238],"government":[240],"so":[241],"as":[242],"compromise":[245],"citizens":[250],"who":[251],"use":[252],"them.":[253]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
