{"id":"https://openalex.org/W4416033865","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1316","title":"From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation","display_name":"From Generation to Detection: A Multimodal Multi-Task Dataset for Benchmarking Health Misinformation","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416033865","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1316"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1316","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1316","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1316.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.1316.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5038942858","display_name":"Zhihao Zhang","orcid":"https://orcid.org/0000-0002-0166-3442"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhihao Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039265893","display_name":"Yiran Zhang","orcid":"https://orcid.org/0009-0002-6809-9425"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yiran Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089765223","display_name":"Xiyue Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiyue Zhou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054536742","display_name":"Li\u2010Ting Huang","orcid":"https://orcid.org/0000-0003-4466-1188"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liting Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033585021","display_name":"Imran Razzak","orcid":"https://orcid.org/0000-0002-3930-6600"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Imran Razzak","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012055259","display_name":"Preslav Nakov","orcid":"https://orcid.org/0000-0002-3600-1510"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Preslav Nakov","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023691565","display_name":"Usman Naseem","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Usman Naseem","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"24245","last_page":"24260"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.550599992275238,"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":0.550599992275238,"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":0.10429999977350235,"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.036400001496076584,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6938999891281128},{"id":"https://openalex.org/keywords/misinformation","display_name":"Misinformation","score":0.6140999794006348},{"id":"https://openalex.org/keywords/ehealth","display_name":"eHealth","score":0.35010001063346863},{"id":"https://openalex.org/keywords/digital-health","display_name":"Digital health","score":0.2874999940395355},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2743000090122223},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.2700999975204468}],"concepts":[{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6938999891281128},{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.6140999794006348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5254999995231628},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3610000014305115},{"id":"https://openalex.org/C202645933","wikidata":"https://www.wikidata.org/wiki/Q4930","display_name":"eHealth","level":3,"score":0.35010001063346863},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.29190000891685486},{"id":"https://openalex.org/C2780433410","wikidata":"https://www.wikidata.org/wiki/Q5276090","display_name":"Digital health","level":3,"score":0.2874999940395355},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2743000090122223},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.2700999975204468},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C2779057293","wikidata":"https://www.wikidata.org/wiki/Q6543058","display_name":"Licensee","level":3,"score":0.2630999982357025},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.26010000705718994},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C2779363104","wikidata":"https://www.wikidata.org/wiki/Q17069079","display_name":"mHealth","level":3,"score":0.2502000033855438}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.1316","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1316","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1316.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1316","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1316","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1316.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320591","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416033865.pdf","grobid_xml":"https://content.openalex.org/works/W4416033865.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Infodemics":[0],"and":[1,10,14,32,39,69,82,111,120,142,156,178],"health":[2,20,44,101,171],"misinformation":[3,64,97,167],"have":[4,34],"significant":[5],"negative":[6],"impact":[7],"on":[8,62],"individuals":[9],"society,":[11],"exacerbating":[12],"confusion":[13],"increasing":[15],"hesitancy":[16],"in":[17,23,47,51,76,99],"adopting":[18],"recommended":[19],"measures.Recent":[21],"advancements":[22],"generative":[24,129],"AI,":[25],"capable":[26],"of":[27,43,80,84,104,158,166,176],"producing":[28],"realistic,":[29],"human-like":[30],"text":[31],"images,":[33],"significantly":[35],"accelerated":[36],"the":[37,41,55,100,154,164,174],"spread":[38],"expanded":[40],"reach":[42],"misinformation,":[45],"resulting":[46],"an":[48],"alarming":[49],"surge":[50],"its":[52],"dissemination.To":[53],"combat":[54],"infodemics,":[56],"most":[57],"existing":[58,147],"work":[59],"has":[60,73],"focused":[61],"developing":[63],"datasets":[65],"from":[66,126],"social":[67],"media":[68],"fact-checking":[70],"platforms,":[71],"but":[72],"faced":[74],"limitations":[75],"topical":[77],"coverage,":[78],"inclusion":[79],"AI-generation,":[81],"accessibility":[83],"raw":[85],"content.To":[86],"address":[87],"these":[88],"gaps,":[89],"we":[90],"present":[91],"MM-Health,":[92],"a":[93],"large":[94],"scale":[95],"multimodal":[96,116,122,182],"dataset":[98,135,160],"domain":[102],"consisting":[103],"34,746":[105],"news":[106],"article":[107],"encompassing":[108],"both":[109],"textual":[110],"visual":[112],"information.MM-Health":[113],"includes":[114],"human-generated":[115],"information":[117,123],"(5,776":[118],"articles)":[119,125],"AI-generated":[121],"(28,880":[124],"various":[127,170],"SOTA":[128,148],"AI":[130,144],"models.Additionally,":[131],"We":[132],"benchmarked":[133],"our":[134],"against":[136],"three":[137],"tasks-reliability":[138],"checks,":[139,141],"originality":[140],"fine-grained":[143],"detection-demonstrating":[145],"that":[146],"models":[149],"struggle":[150],"to":[151,162],"accurately":[152],"distinguish":[153],"reliability":[155],"origin":[157],"information.Our":[159],"aims":[161],"support":[163],"development":[165],"detection":[168,175],"across":[169],"scenarios,":[172],"facilitating":[173],"human":[177],"machine-generated":[179],"content":[180],"at":[181],"levels":[183],"1":[184],".":[185]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-08T00:00:00"}