{"id":"https://openalex.org/W2887125871","doi":"https://doi.org/10.1145/3233756.3233961","title":"Testing the Susceptibility of Users to Deceptive Data Visualizations When Paired with Explanatory Text","display_name":"Testing the Susceptibility of Users to Deceptive Data Visualizations When Paired with Explanatory Text","publication_year":2018,"publication_date":"2018-07-31","ids":{"openalex":"https://openalex.org/W2887125871","doi":"https://doi.org/10.1145/3233756.3233961","mag":"2887125871"},"language":"en","primary_location":{"id":"doi:10.1145/3233756.3233961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3233756.3233961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th ACM International Conference on the Design of Communication","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/A5060040438","display_name":"Shaun O'Brien","orcid":"https://orcid.org/0000-0002-7506-3888"},"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":"Shaun O'Brien","raw_affiliation_strings":["Arizona State University, Tempe, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084461604","display_name":"Claire Lauer","orcid":"https://orcid.org/0000-0002-2715-1832"},"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":"Claire Lauer","raw_affiliation_strings":["Arizona State University, Mesa, AZ, USA"],"affiliations":[{"raw_affiliation_string":"Arizona State University, Mesa, AZ, USA","institution_ids":["https://openalex.org/I55732556"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5060040438"],"corresponding_institution_ids":["https://openalex.org/I55732556"],"apc_list":null,"apc_paid":null,"fwci":0.7437,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.77051902,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"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/T10799","display_name":"Data Visualization and Analytics","score":0.9998999834060669,"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":0.9998999834060669,"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/T13398","display_name":"Data Analysis with R","score":0.9434000253677368,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9420999884605408,"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/paragraph","display_name":"Paragraph","score":0.7209637761116028},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7005050182342529},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.6807003617286682},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.6112165451049805},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5187480449676514},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.5138552188873291},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.513601541519165},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.38357704877853394},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.3452354967594147},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.33633190393447876},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.22364485263824463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.17977723479270935},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.10566198825836182}],"concepts":[{"id":"https://openalex.org/C2777206241","wikidata":"https://www.wikidata.org/wiki/Q194431","display_name":"Paragraph","level":2,"score":0.7209637761116028},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7005050182342529},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.6807003617286682},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.6112165451049805},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5187480449676514},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.5138552188873291},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.513601541519165},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.38357704877853394},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3452354967594147},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.33633190393447876},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22364485263824463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.17977723479270935},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.10566198825836182},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3233756.3233961","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3233756.3233961","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 36th ACM International Conference on the Design of Communication","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W96498189","https://openalex.org/W107788933","https://openalex.org/W208340500","https://openalex.org/W1491721682","https://openalex.org/W1540101265","https://openalex.org/W1549952832","https://openalex.org/W1971781829","https://openalex.org/W1986464856","https://openalex.org/W2058977039","https://openalex.org/W2115860093","https://openalex.org/W2130365212","https://openalex.org/W2139678307","https://openalex.org/W2155843307","https://openalex.org/W2171036274","https://openalex.org/W2481068318","https://openalex.org/W2547447451","https://openalex.org/W2779345366","https://openalex.org/W3211317495"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2189613078","https://openalex.org/W2579659702","https://openalex.org/W2923661510","https://openalex.org/W1574055964","https://openalex.org/W1965329638","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"In":[0],"this":[1],"paper":[2],"we":[3],"present":[4],"the":[5,16,47,89,127,135,140,153,156,190,197,210,219],"results":[6,138,188],"of":[7,65,71,85,114,139,184,192,199,212,221],"an":[8,38],"empirical":[9],"study":[10,34,69,141],"that":[11,143],"analyzed":[12],"how":[13,132],"people":[14],"understand":[15],"data":[17,23,52,80,118,147,158,200],"presented":[18],"to":[19,45,49,110,126,130,151,181,202,215],"them":[20],"in":[21,105,146,155,196],"deceptive":[22,51,144,157,185,204],"visualizations":[24,27,53,148,159,201],"when":[25,58,161],"those":[26],"are":[28,60,206],"paired":[29],"with":[30,175],"non-deceptive":[31],"text.":[32,67,168],"This":[33],"was":[35,43],"administered":[36],"as":[37],"online":[39],"user":[40],"survey":[41,90,99,104],"and":[42,79,91,100,116,172,194,214],"designed":[44],"test":[46,102],"extent":[48],"which":[50,106],"can":[54],"fool":[55],"users,":[56],"even":[57,160],"they":[59,133,162],"accompanied":[61,164],"by":[62,165],"a":[63,72,96,101,112,117,123],"paragraph":[64,113],"accurate":[66,166],"The":[68,137],"consisted":[70],"basic":[73],"demographic":[74],"questionnaire,":[75],"chart":[76,176],"familiarity":[77],"assessment,":[78],"visualization":[81],"survey.":[82],"A":[83],"total":[84],"256":[86],"participants":[87,107,150],"completed":[88],"were":[92,108,163,178],"evenly":[93],"distributed":[94],"between":[95],"control":[97],"(non-deceptive)":[98],"(deceptive)":[103],"asked":[109],"observe":[111],"text":[115],"visualization.":[119],"Participants":[120],"then":[121],"answered":[122],"question":[124],"relevant":[125],"observed":[128],"information":[129,154],"measure":[131],"perceived":[134],"information.":[136],"confirmed":[142],"techniques":[145],"caused":[149],"misinterpret":[152],"explanatory":[167],"Furthermore,":[169],"certain":[170,182],"demographics":[171],"comfort":[173],"levels":[174],"types":[177,183],"more":[179],"susceptible":[180],"techniques.":[186],"These":[187],"highlight":[189],"importance":[191],"education":[193],"awareness":[195],"area":[198],"ensure":[203],"practices":[205],"not":[207],"utilized":[208],"on":[209,218],"part":[211,220],"developers":[213],"avoid":[216],"misinformation":[217],"users.":[222]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}