{"id":"https://openalex.org/W7153840562","doi":"https://doi.org/10.1145/3772363.3798423","title":"Inoculating Against Visualization Misinformation Through Gamification","display_name":"Inoculating Against Visualization Misinformation Through Gamification","publication_year":2026,"publication_date":"2026-04-13","ids":{"openalex":"https://openalex.org/W7153840562","doi":"https://doi.org/10.1145/3772363.3798423"},"language":null,"primary_location":{"id":"doi:10.1145/3772363.3798423","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798423","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3772363.3798423","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057582080","display_name":"Lily W. Ge","orcid":"https://orcid.org/0000-0003-2350-8686"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lily W. Ge","raw_affiliation_strings":["Computer Science, Northwestern University, Evanston, Illinois, USA"],"raw_orcid":"https://orcid.org/0000-0003-2350-8686","affiliations":[{"raw_affiliation_string":"Computer Science, Northwestern University, Evanston, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078687182","display_name":"Michael Horn","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael S Horn","raw_affiliation_strings":["Computer Science, Northwestern University, Evanston, Illinois, USA"],"raw_orcid":"https://orcid.org/0000-0002-4892-6801","affiliations":[{"raw_affiliation_string":"Computer Science, Northwestern University, Evanston, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5089605137","display_name":"Matthew Kay","orcid":"https://orcid.org/0000-0001-9446-0419"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Matthew Kay","raw_affiliation_strings":["Computer Science and Communication Studies, Northwestern University, Evanston, Illinois, USA"],"raw_orcid":"https://orcid.org/0000-0001-9446-0419","affiliations":[{"raw_affiliation_string":"Computer Science and Communication Studies, Northwestern University, Evanston, Illinois, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I111979921"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.23510000109672546,"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":0.23510000109672546,"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/T11147","display_name":"Misinformation and Its Impacts","score":0.1673000007867813,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T10731","display_name":"Educational Games and Gamification","score":0.07419999688863754,"subfield":{"id":"https://openalex.org/subfields/3204","display_name":"Developmental and Educational Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.8295000195503235},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5860000252723694},{"id":"https://openalex.org/keywords/infographic","display_name":"Infographic","score":0.41690000891685486},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.3880000114440918},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.366100013256073}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.8295000195503235},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5860000252723694},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4666999876499176},{"id":"https://openalex.org/C156365220","wikidata":"https://www.wikidata.org/wiki/Q845734","display_name":"Infographic","level":2,"score":0.41690000891685486},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.3880000114440918},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.366100013256073},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.3237000107765198},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.30230000615119934},{"id":"https://openalex.org/C49774154","wikidata":"https://www.wikidata.org/wiki/Q131765","display_name":"Multimedia","level":1,"score":0.3010999858379364},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.299699991941452},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.287200003862381},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2563999891281128},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.25540000200271606},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3772363.3798423","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798423","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3772363.3798423","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3772363.3798423","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.40954887866973877,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1390350787","display_name":null,"funder_award_id":"DGE-2234667","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2031746736","https://openalex.org/W2073238388","https://openalex.org/W2116926372","https://openalex.org/W2398042895","https://openalex.org/W2502626378","https://openalex.org/W2610687266","https://openalex.org/W2952813692","https://openalex.org/W2953580430","https://openalex.org/W2969072564","https://openalex.org/W2981979676","https://openalex.org/W2999308857","https://openalex.org/W3016306020","https://openalex.org/W3092331539","https://openalex.org/W3096296182","https://openalex.org/W3129260127","https://openalex.org/W3202956419","https://openalex.org/W4200143922","https://openalex.org/W4210342733","https://openalex.org/W4225099728","https://openalex.org/W4225361530","https://openalex.org/W4282980553","https://openalex.org/W4297094601","https://openalex.org/W4302042384","https://openalex.org/W4312844606","https://openalex.org/W4312928265","https://openalex.org/W4366549575","https://openalex.org/W4366550890","https://openalex.org/W4386836775","https://openalex.org/W4387986677","https://openalex.org/W4389252523","https://openalex.org/W4396833041","https://openalex.org/W4407263285"],"related_works":[],"abstract_inverted_index":{"Data":[0],"visualizations,":[1],"if":[2],"not":[3],"appropriately":[4],"designed,":[5],"can":[6],"be":[7,17],"ill-formed":[8,25],"and":[9,39,82,93,106,138],"exacerbate":[10],"the":[11,20,37,76,100,141],"spread":[12],"of":[13,41,48,59],"misinformation.":[14,136],"Viewers":[15],"must":[16],"equipped":[18],"with":[19,50],"skills":[21],"to":[22,54,64,98,122,133],"navigate":[23],"around":[24],"visualizations.":[26,43,72],"Yet,":[27],"existing":[28],"studies":[29,118],"for":[30,103],"improving":[31],"visualization":[32,135],"literacy":[33],"are":[34,143],"focused":[35],"on":[36,80,89],"interpretation":[38],"creation":[40],"well-formed":[42],"We":[44,73,87],"ran":[45],"a":[46],"series":[47],"workshops":[49,114,142],"high":[51],"school":[52],"students":[53],"test":[55],"out":[56],"design":[57,78,96],"variants":[58,97],"an":[60,129],"educational":[61],"serious":[62,131],"game":[63,77,95,132],"ultimately":[65],"help":[66],"them":[67],"build":[68],"\u201cimmunity\u201d":[69],"against":[70],"misleading":[71],"iteratively":[74],"refined":[75],"based":[79],"feedback":[81],"observations":[83],"from":[84,140],"these":[85,113],"workshops.":[86],"reflect":[88],"our":[90],"individual,":[91],"competitive,":[92],"team-based":[94],"outline":[99],"promising":[101],"features":[102],"future":[104],"iterations":[105],"challenges":[107],"that":[108,119],"warrant":[109],"further":[110],"exploration.":[111],"Together,":[112],"serve":[115],"as":[116],"case":[117],"allow":[120],"us":[121],"take":[123],"informed":[124],"next":[125],"steps":[126],"toward":[127],"developing":[128],"engaging":[130],"combat":[134],"Materials":[137],"outputs":[139],"available":[144],"at:":[145],"https://osf.io/56ac4/.":[146]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2026-04-13T00:00:00"}