{"id":"https://openalex.org/W2941610467","doi":"https://doi.org/10.1145/3290605.3300423","title":"A Lie Reveals the Truth","display_name":"A Lie Reveals the Truth","publication_year":2019,"publication_date":"2019-04-29","ids":{"openalex":"https://openalex.org/W2941610467","doi":"https://doi.org/10.1145/3290605.3300423","mag":"2941610467"},"language":"en","primary_location":{"id":"doi:10.1145/3290605.3300423","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290605.3300423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 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/A5025071606","display_name":"Jacob Ritchie","orcid":"https://orcid.org/0000-0001-9526-6378"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jacob Ritchie","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083735800","display_name":"Daniel Wigdor","orcid":"https://orcid.org/0000-0003-2008-7070"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Daniel Wigdor","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029815396","display_name":"Fanny Chevalier","orcid":"https://orcid.org/0000-0002-5585-7971"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Fanny Chevalier","raw_affiliation_strings":["University of Toronto, Toronto, ON, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I185261750"],"apc_list":null,"apc_paid":null,"fwci":1.0158,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.80526863,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"13"},"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.9685999751091003,"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/T11439","display_name":"Video Analysis and Summarization","score":0.9133999943733215,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7972553968429565},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7539957761764526},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.6922654509544373},{"id":"https://openalex.org/keywords/exaggeration","display_name":"Exaggeration","score":0.6194060444831848},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.5942420363426208},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.5753850936889648},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.4697461724281311},{"id":"https://openalex.org/keywords/range","display_name":"Range (aeronautics)","score":0.4432845711708069},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.41159188747406006},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2898353338241577},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.11888298392295837},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.07655277848243713}],"concepts":[{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7972553968429565},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7539957761764526},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.6922654509544373},{"id":"https://openalex.org/C2777003408","wikidata":"https://www.wikidata.org/wiki/Q5419252","display_name":"Exaggeration","level":2,"score":0.6194060444831848},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.5942420363426208},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.5753850936889648},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.4697461724281311},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.4432845711708069},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.41159188747406006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2898353338241577},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.11888298392295837},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07655277848243713},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","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/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3290605.3300423","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3290605.3300423","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.44999998807907104}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":55,"referenced_works":["https://openalex.org/W1512287614","https://openalex.org/W1633631835","https://openalex.org/W1823329909","https://openalex.org/W1928294160","https://openalex.org/W1935234898","https://openalex.org/W1968499996","https://openalex.org/W1971781829","https://openalex.org/W1978744585","https://openalex.org/W1978841917","https://openalex.org/W1986464856","https://openalex.org/W1992970544","https://openalex.org/W2004682330","https://openalex.org/W2005073501","https://openalex.org/W2013728941","https://openalex.org/W2019492404","https://openalex.org/W2025864648","https://openalex.org/W2030246490","https://openalex.org/W2031843365","https://openalex.org/W2043523210","https://openalex.org/W2050674259","https://openalex.org/W2058977039","https://openalex.org/W2070664725","https://openalex.org/W2088172714","https://openalex.org/W2105802004","https://openalex.org/W2108075477","https://openalex.org/W2110080554","https://openalex.org/W2112096004","https://openalex.org/W2125215841","https://openalex.org/W2135415614","https://openalex.org/W2138199375","https://openalex.org/W2142962342","https://openalex.org/W2144721682","https://openalex.org/W2158541982","https://openalex.org/W2169897903","https://openalex.org/W2171073562","https://openalex.org/W2233207476","https://openalex.org/W2247618421","https://openalex.org/W2406347917","https://openalex.org/W2408648037","https://openalex.org/W2513374982","https://openalex.org/W2519860851","https://openalex.org/W2547273958","https://openalex.org/W2562435355","https://openalex.org/W2593389370","https://openalex.org/W2610685016","https://openalex.org/W2751787250","https://openalex.org/W2795622273","https://openalex.org/W2796089359","https://openalex.org/W2808654760","https://openalex.org/W2886794935","https://openalex.org/W2887125871","https://openalex.org/W2914973542","https://openalex.org/W2999006474","https://openalex.org/W4242017092","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W3081908777","https://openalex.org/W2910051094","https://openalex.org/W789364040","https://openalex.org/W2365101699","https://openalex.org/W2372549685","https://openalex.org/W2153381665","https://openalex.org/W2018583780","https://openalex.org/W2428231177","https://openalex.org/W2387910998","https://openalex.org/W2355047302"],"abstract_inverted_index":{"Designers":[0],"are":[1,60],"often":[2],"discouraged":[3],"from":[4],"creating":[5],"data":[6],"visualizations":[7],"that":[8,23,59,111],"omit":[9],"or":[10,116],"distort":[11],"information,":[12],"because":[13],"they":[14],"can":[15,29],"easily":[16],"be":[17,25,114],"misleading.":[18],"However,":[19],"the":[20,50,148],"same":[21],"representations":[22],"could":[24],"used":[26],"to":[27,34,90,105,118,128,134],"deceive":[28],"provide":[30],"benefits":[31],"when":[32],"chosen":[33],"appropriately":[35],"align":[36],"with":[37],"user":[38],"tasks.":[39,140],"We":[40],"present":[41],"an":[42],"interaction":[43],"technique,":[44],"Perceptual":[45,68,101],"Glimpses,":[46,69],"which":[47],"allows":[48],"for":[49],"transparent":[51],"presentation":[52,95],"of":[53,57,109,123,138,147],"so-called":[54],"'deceptive'":[55],"views":[56,110],"information":[58],"made":[61],"temporary":[62],"using":[63,67],"quasimodes.":[64],"When":[65,100],"presented":[66],"message-level":[70],"exaggeration":[71],"caused":[72],"by":[73],"a":[74,78,107,136],"truncated":[75],"axis":[76],"on":[77],"bar":[79],"chart":[80],"was":[81,103],"reduced":[82],"under":[83],"some":[84],"conditions,":[85],"but":[86],"users":[87,125],"require":[88],"guidance":[89],"avoid":[91],"errors,":[92],"and":[93,130,143],"view":[94],"order":[96],"may":[97],"affect":[98],"trust.":[99],"Glimpses":[102],"extended":[104],"display":[106],"range":[108,137],"might":[112],"otherwise":[113],"deceptive":[115],"difficult":[117],"understand":[119,129],"if":[120],"shown":[121],"out":[122],"context,":[124],"were":[126],"able":[127],"leverage":[131],"these":[132],"transformations":[133],"perform":[135],"low-level":[139],"Design":[141],"recommendations":[142],"examples":[144],"suggest":[145],"extensions":[146],"technique.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":5}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
