{"id":"https://openalex.org/W4224308992","doi":"https://doi.org/10.1145/3485447.3512257","title":"A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection","display_name":"A Duo-generative Approach to Explainable Multimodal COVID-19 Misinformation Detection","publication_year":2022,"publication_date":"2022-04-25","ids":{"openalex":"https://openalex.org/W4224308992","doi":"https://doi.org/10.1145/3485447.3512257"},"language":"en","primary_location":{"id":"doi:10.1145/3485447.3512257","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3512257","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","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/A5074191748","display_name":"Lanyu Shang","orcid":"https://orcid.org/0000-0002-7480-6889"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Lanyu Shang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045401193","display_name":"Ziyi Kou","orcid":"https://orcid.org/0000-0002-9916-0930"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ziyi Kou","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354592","display_name":"Yang Zhang","orcid":"https://orcid.org/0000-0001-8135-369X"},"institutions":[{"id":"https://openalex.org/I107639228","display_name":"University of Notre Dame","ror":"https://ror.org/00mkhxb43","country_code":"US","type":"education","lineage":["https://openalex.org/I107639228"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yang Zhang","raw_affiliation_strings":["University of Notre Dame, USA"],"affiliations":[{"raw_affiliation_string":"University of Notre Dame, USA","institution_ids":["https://openalex.org/I107639228"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100391517","display_name":"Dong Wang","orcid":"https://orcid.org/0000-0002-9599-8023"},"institutions":[{"id":"https://openalex.org/I157725225","display_name":"University of Illinois Urbana-Champaign","ror":"https://ror.org/047426m28","country_code":"US","type":"education","lineage":["https://openalex.org/I157725225"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Wang","raw_affiliation_strings":["University of Illinois at Urbana-Champaign, USA"],"affiliations":[{"raw_affiliation_string":"University of Illinois at Urbana-Champaign, USA","institution_ids":["https://openalex.org/I157725225"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5074191748"],"corresponding_institution_ids":["https://openalex.org/I157725225"],"apc_list":null,"apc_paid":null,"fwci":13.075,"has_fulltext":false,"cited_by_count":46,"citation_normalized_percentile":{"value":0.9862963,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3623","last_page":"3631"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":1.0,"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/T10028","display_name":"Topic Modeling","score":0.996399998664856,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.9839000105857849,"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/misinformation","display_name":"Misinformation","score":0.9664806127548218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7726068496704102},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6960017085075378},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6339094638824463},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.5928143858909607},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.49190497398376465},{"id":"https://openalex.org/keywords/modal","display_name":"Modal","score":0.4443952441215515},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4231393337249756},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.42067280411720276},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.061920344829559326}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.9664806127548218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7726068496704102},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6960017085075378},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6339094638824463},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.5928143858909607},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.49190497398376465},{"id":"https://openalex.org/C71139939","wikidata":"https://www.wikidata.org/wiki/Q910194","display_name":"Modal","level":2,"score":0.4443952441215515},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4231393337249756},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.42067280411720276},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.061920344829559326},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"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/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"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/C188027245","wikidata":"https://www.wikidata.org/wiki/Q750446","display_name":"Polymer chemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3485447.3512257","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3485447.3512257","pdf_url":null,"source":{"id":"https://openalex.org/S4363608783","display_name":"Proceedings of the ACM Web Conference 2022","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the ACM Web Conference 2022","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1536680647","https://openalex.org/W1972703786","https://openalex.org/W2155189155","https://openalex.org/W2756167825","https://openalex.org/W2787456091","https://openalex.org/W2788235048","https://openalex.org/W2792984539","https://openalex.org/W2798888217","https://openalex.org/W2809476703","https://openalex.org/W2897757923","https://openalex.org/W2906670185","https://openalex.org/W2912078280","https://openalex.org/W2912305564","https://openalex.org/W2946327826","https://openalex.org/W2948537313","https://openalex.org/W2951307134","https://openalex.org/W2955692055","https://openalex.org/W2963267809","https://openalex.org/W2969019803","https://openalex.org/W3015001695","https://openalex.org/W3037025384","https://openalex.org/W3081889244","https://openalex.org/W3087482290","https://openalex.org/W3092175403","https://openalex.org/W3098835531","https://openalex.org/W3101408904","https://openalex.org/W3104737638","https://openalex.org/W3133706083","https://openalex.org/W3135372056","https://openalex.org/W3136238032","https://openalex.org/W3176937211","https://openalex.org/W3197618246","https://openalex.org/W3210595538","https://openalex.org/W3216895788","https://openalex.org/W4205434108","https://openalex.org/W4205602376","https://openalex.org/W4212850519","https://openalex.org/W4213054092","https://openalex.org/W4253271685"],"related_works":["https://openalex.org/W4308426127","https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4301143707","https://openalex.org/W2952745240","https://openalex.org/W4380551139","https://openalex.org/W2280377497","https://openalex.org/W3174044702","https://openalex.org/W4238433571","https://openalex.org/W2967848559"],"abstract_inverted_index":{"This":[0],"paper":[1],"focuses":[2],"on":[3,190],"a":[4,72,122,152],"critical":[5,101],"problem":[6],"of":[7,46,49,59,121,208,211,219],"explainable":[8,154],"multimodal":[9,23,77,97,123,183,193,212],"COVID-19":[10,24,61,78,124,184,194,213],"misinformation":[11,79,142,155,181,214],"detection":[12,37,143,156,215,220],"where":[13],"the":[14,29,36,44,50,60,82,86,96,113,116,135,141,147,162,166,209,217],"goal":[15],"is":[16,41,92],"to":[17,75,110,129,139,177],"accurately":[18,111],"detect":[19,76,178],"misleading":[20],"information":[21,133],"in":[22,64,95,104,169,182,206],"news":[25,62,98,125,167,185,195],"articles":[26],"and":[27,57,88,118,172,179,216],"provide":[28],"reason":[30],"or":[31],"evidence":[32],"that":[33,91,159,200],"can":[34],"explain":[35,140,180],"results.":[38],"Our":[39],"work":[40],"motivated":[42],"by":[43,80],"lack":[45],"judicious":[47],"study":[48],"association":[51,84,164],"between":[52,85,115,165],"different":[53,170],"modalities":[54,171],"(e.g.,":[55],"text":[56],"image)":[58],"content":[63,90,120,168],"current":[65],"solutions.":[66],"In":[67],"this":[68],"paper,":[69],"we":[70,150],"present":[71],"generative":[73],"approach":[74],"investigating":[81],"cross-modal":[83,163],"visual":[87,117],"textual":[89,119],"deeply":[93],"embedded":[94],"content.":[99],"Two":[100],"challenges":[102],"exist":[103],"developing":[105],"our":[106],"solution:":[107],"1)":[108],"how":[109],"assess":[112],"consistency":[114],"article?":[126],"2)":[127],"How":[128],"effectively":[130,173],"retrieve":[131],"useful":[132],"from":[134],"unreliable":[136],"user":[137,175],"comments":[138,176],"results?":[144],"To":[145],"address":[146],"above":[148],"challenges,":[149],"develop":[151],"duo-generative":[153],"(DGExplain)":[157],"framework":[158],"explicitly":[160],"explores":[161],"exploits":[174],"articles.":[186],"We":[187],"evaluate":[188],"DGExplain":[189,201],"two":[191],"real-world":[192],"datasets.":[196],"Evaluation":[197],"results":[198],"demonstrate":[199],"significantly":[202],"outperforms":[203],"state-of-the-art":[204],"baselines":[205],"terms":[207],"accuracy":[210],"explainability":[218],"explanations.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":14},{"year":2022,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}