{"id":"https://openalex.org/W4415538906","doi":"https://doi.org/10.1145/3746027.3755192","title":"DAPT: Domain-Aware Prompt-Tuning for Multimodal Fake News Detection","display_name":"DAPT: Domain-Aware Prompt-Tuning for Multimodal Fake News Detection","publication_year":2025,"publication_date":"2025-10-25","ids":{"openalex":"https://openalex.org/W4415538906","doi":"https://doi.org/10.1145/3746027.3755192"},"language":null,"primary_location":{"id":"doi:10.1145/3746027.3755192","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5110157412","display_name":"Yu Tong","orcid":null},"institutions":[{"id":"https://openalex.org/I37461747","display_name":"Wuhan University","ror":"https://ror.org/033vjfk17","country_code":"CN","type":"education","lineage":["https://openalex.org/I37461747"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Tong","raw_affiliation_strings":["Wuhan University, Wuhan, China"],"raw_orcid":"https://orcid.org/0009-0003-5487-9671","affiliations":[{"raw_affiliation_string":"Wuhan University, Wuhan, China","institution_ids":["https://openalex.org/I37461747"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088725475","display_name":"Weihai Lu","orcid":"https://orcid.org/0009-0009-1783-5518"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihai Lu","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0009-1783-5518","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065526331","display_name":"Xiaoxi Cui","orcid":null},"institutions":[{"id":"https://openalex.org/I92472073","display_name":"Takenaka (Japan)","ror":"https://ror.org/02zs45744","country_code":"JP","type":"company","lineage":["https://openalex.org/I92472073"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Xiaoxi Cui","raw_affiliation_strings":["Takeway.AI, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-4639-1278","affiliations":[{"raw_affiliation_string":"Takeway.AI, Beijing, China","institution_ids":["https://openalex.org/I92472073"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yifan Mao","orcid":"https://orcid.org/0009-0007-8823-861X"},"institutions":[{"id":"https://openalex.org/I143868143","display_name":"Anhui University","ror":"https://ror.org/05th6yx34","country_code":"CN","type":"education","lineage":["https://openalex.org/I143868143"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yifan Mao","raw_affiliation_strings":["Anhui University, Hefei, China"],"raw_orcid":"https://orcid.org/0009-0007-8823-861X","affiliations":[{"raw_affiliation_string":"Anhui University, Hefei, China","institution_ids":["https://openalex.org/I143868143"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhejun Zhao","orcid":"https://orcid.org/0009-0002-9498-3839"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhejun Zhao","raw_affiliation_strings":["Peking University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0002-9498-3839","affiliations":[{"raw_affiliation_string":"Peking University, Beijing, China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"7902","last_page":"7911"},"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/T11644","display_name":"Spam and Phishing Detection","score":0.9951000213623047,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9851999878883362,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/domain","display_name":"Domain (mathematical analysis)","score":0.7436000108718872},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6836000084877014},{"id":"https://openalex.org/keywords/modalities","display_name":"Modalities","score":0.6739000082015991},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6621999740600586},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.6323000192642212},{"id":"https://openalex.org/keywords/modality","display_name":"Modality (human\u2013computer interaction)","score":0.6310999989509583},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5910999774932861},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.534600019454956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854999899864197},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.7436000108718872},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6836000084877014},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.6739000082015991},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6621999740600586},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.6323000192642212},{"id":"https://openalex.org/C2780226545","wikidata":"https://www.wikidata.org/wiki/Q6888030","display_name":"Modality (human\u2013computer interaction)","level":2,"score":0.6310999989509583},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5910999774932861},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.534600019454956},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49939998984336853},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3971000015735626},{"id":"https://openalex.org/C135641252","wikidata":"https://www.wikidata.org/wiki/Q738567","display_name":"Multimodal interaction","level":2,"score":0.34310001134872437},{"id":"https://openalex.org/C13622073","wikidata":"https://www.wikidata.org/wiki/Q2243831","display_name":"Writing style","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C2982962833","wikidata":"https://www.wikidata.org/wiki/Q17092450","display_name":"Information fusion","level":2,"score":0.3070000112056732},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.2955999970436096},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.2946000099182129},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.267300009727478},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.26350000500679016},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2612000107765198},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.25769999623298645},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.25119999051094055},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2500999867916107}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3746027.3755192","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3746027.3755192","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W2809290718","https://openalex.org/W2809476703","https://openalex.org/W3003961771","https://openalex.org/W3080189354","https://openalex.org/W3112681008","https://openalex.org/W3164693331","https://openalex.org/W3189022317","https://openalex.org/W3195314408","https://openalex.org/W3198377975","https://openalex.org/W3210022786","https://openalex.org/W4224324956","https://openalex.org/W4283712118","https://openalex.org/W4312310776","https://openalex.org/W4376619054","https://openalex.org/W4382202522","https://openalex.org/W4382239959","https://openalex.org/W4386590817","https://openalex.org/W4388090747","https://openalex.org/W4390849973","https://openalex.org/W4394779253","https://openalex.org/W4399665857","https://openalex.org/W4402670031","https://openalex.org/W4402671673","https://openalex.org/W4402757348","https://openalex.org/W4403431661","https://openalex.org/W4403687832","https://openalex.org/W4403780595","https://openalex.org/W4408947664","https://openalex.org/W4409184365","https://openalex.org/W4411631883","https://openalex.org/W4412377033"],"related_works":[],"abstract_inverted_index":{"Lately,":[0],"the":[1,114],"academic":[2],"community":[3],"has":[4,23],"been":[5],"showing":[6],"growing":[7],"interest":[8],"in":[9,15],"multi-domain":[10,77],"fake":[11,78],"news":[12,79],"detection,":[13],"and":[14,53,56],"particular,":[16],"incorporating":[17],"multimodal":[18,76],"information":[19],"into":[20],"this":[21],"field":[22],"emerged":[24],"as":[25],"a":[26],"highly":[27],"promising":[28],"research":[29],"direction.":[30],"However,":[31],"existing":[32],"methods":[33],"often":[34],"struggle":[35],"with:":[36],"(1)":[37],"Insufficient":[38],"intrinsic":[39],"domain":[40,51,88,99],"adaptation":[41,89],"during":[42],"representation":[43],"Learning;":[44],"(2)":[45],"Amplified":[46],"negative":[47,109],"transfer":[48],"from":[49,101],"entangled":[50],"style":[52],"content":[54,106],"representations;":[55],"(3)":[57],"Neglecting":[58],"domain-varying":[59],"modality":[60],"uncertainty.":[61],"To":[62],"address":[63],"these":[64],"issues,":[65],"we":[66],"propose":[67],"Domain-Aware":[68],"Prompt":[69,84],"Tuning":[70,85],"(DAPT),":[71],"an":[72,118],"innovative":[73],"framework":[74],"for":[75,86],"detection.":[80],"DAPT":[81,134],"leverages":[82],"Multimodal":[83,120],"parameter-efficient":[87],"of":[90],"pretrain":[91],"models.":[92],"An":[93],"Adaptive":[94],"Domain":[95],"Debias":[96],"Module":[97],"disentangles":[98],"features":[100],"veracity":[102],"signals":[103],"guided":[104],"by":[105,113],"to":[107],"mitigate":[108],"transfer.":[110],"Furthermore,":[111],"inspired":[112],"Variational":[115],"Information":[116],"Bottleneck,":[117],"Uncertainty-Aware":[119],"Fusion":[121],"mechanism":[122],"adaptively":[123],"aggregates":[124],"modalities":[125],"based":[126],"on":[127,139],"domain-specific":[128],"reliability.":[129],"Extensive":[130],"experiments":[131],"demonstrate":[132],"that":[133],"significantly":[135],"outperforms":[136],"state-of-the-art":[137],"baselines":[138],"benchmark":[140],"datasets.":[141]},"counts_by_year":[{"year":2026,"cited_by_count":8}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-25T00:00:00"}
