{"id":"https://openalex.org/W7152484732","doi":"https://doi.org/10.1145/3774904.3792990","title":"Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling","display_name":"Cross-Domain Fake News Detection on Unseen Domains via LLM-Based Domain-Aware User Modeling","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7152484732","doi":"https://doi.org/10.1145/3774904.3792990"},"language":null,"primary_location":{"id":"doi:10.1145/3774904.3792990","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792990","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 ACM Web Conference 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3774904.3792990","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5086167425","display_name":"Xuankai Yang","orcid":"https://orcid.org/0000-0002-4985-3560"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xuankai Yang","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4985-3560","affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133282924","display_name":"Yan Wang","orcid":"https://orcid.org/0000-0002-5344-1884"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yan Wang","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-5344-1884","affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiajie Zhu","orcid":"https://orcid.org/0000-0001-8673-1477"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiajie Zhu","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0001-8673-1477","affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009679257","display_name":"Pengfei Ding","orcid":"https://orcid.org/0000-0002-7048-7518"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Pengfei Ding","raw_affiliation_strings":["School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-7048-7518","affiliations":[{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035216073","display_name":"Hongyang Liu","orcid":"https://orcid.org/0000-0002-4201-1934"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Hongyang Liu","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-4201-1934","affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021983750","display_name":"Xiuzhen Zhang","orcid":"https://orcid.org/0000-0001-5558-3790"},"institutions":[{"id":"https://openalex.org/I82951845","display_name":"RMIT University","ror":"https://ror.org/04ttjf776","country_code":"AU","type":"education","lineage":["https://openalex.org/I82951845"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xiuzhen Zhang","raw_affiliation_strings":["School of Computing Technologies, RMIT University, Melbourne, Australia"],"raw_orcid":"https://orcid.org/0000-0001-5558-3790","affiliations":[{"raw_affiliation_string":"School of Computing Technologies, RMIT University, Melbourne, Australia","institution_ids":["https://openalex.org/I82951845"]}]},{"author_position":"last","author":{"id":null,"display_name":"Huan Liu","orcid":"https://orcid.org/0000-0002-3264-7904"},"institutions":[{"id":"https://openalex.org/I55732556","display_name":"Arizona State University","ror":"https://ror.org/03efmqc40","country_code":"US","type":"education","lineage":["https://openalex.org/I55732556"]},{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU","US"],"is_corresponding":false,"raw_author_name":"Huan Liu","raw_affiliation_strings":["School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","School of Computing, Macquarie University, Sydney, Australia"],"raw_orcid":"https://orcid.org/0000-0002-3264-7904","affiliations":[{"raw_affiliation_string":"School of Computing and Augmented Intelligence, Arizona State University, Tempe, AZ, USA","institution_ids":["https://openalex.org/I55732556"]},{"raw_affiliation_string":"School of Computing, Macquarie University, Sydney, Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37628478,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9494","last_page":"9505"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.8668000102043152,"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":0.8668000102043152,"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":0.08550000190734863,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.0024999999441206455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.4275999963283539},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.3531999886035919},{"id":"https://openalex.org/keywords/user-modeling","display_name":"User modeling","score":0.335099995136261},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3075999915599823},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.2851000130176544}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.632099986076355},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.4275999963283539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41029998660087585},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.3531999886035919},{"id":"https://openalex.org/C67712803","wikidata":"https://www.wikidata.org/wiki/Q7901853","display_name":"User modeling","level":3,"score":0.335099995136261},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3075999915599823},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2851000130176544},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.25099998712539673},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.24660000205039978}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3774904.3792990","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792990","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 ACM Web Conference 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3774904.3792990","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3774904.3792990","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 ACM Web Conference 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":25,"referenced_works":["https://openalex.org/W2740560510","https://openalex.org/W2809476703","https://openalex.org/W2943012941","https://openalex.org/W2951307134","https://openalex.org/W3070920170","https://openalex.org/W3164693331","https://openalex.org/W3205958211","https://openalex.org/W4205145976","https://openalex.org/W4221122068","https://openalex.org/W4287888457","https://openalex.org/W4288079542","https://openalex.org/W4306317398","https://openalex.org/W4382202593","https://openalex.org/W4385569914","https://openalex.org/W4387224341","https://openalex.org/W4393160654","https://openalex.org/W4393407159","https://openalex.org/W4396723114","https://openalex.org/W4401863559","https://openalex.org/W4403577882","https://openalex.org/W4404783049","https://openalex.org/W4407806764","https://openalex.org/W4412945027","https://openalex.org/W4416036577","https://openalex.org/W4416036801"],"related_works":[],"abstract_inverted_index":{"Cross-domain":[0],"fake":[1,20,155],"news":[2,21,69,119,156,169],"detection":[3,157],"(CD-FND)":[4],"transfers":[5],"knowledge":[6,213],"from":[7,56,117,168],"a":[8,12,149],"source":[9],"domain":[10,14,34],"to":[11,113,129,164,178,205,215],"target":[13,33],"and":[15,53,70,73,121,126,135,175,193,199,232],"is":[16,35],"crucial":[17],"for":[18,95,137,154],"real-world":[19,221],"mitigation.":[22],"This":[23,202],"task":[24],"becomes":[25],"particularly":[26],"important":[27],"yet":[28,100],"more":[29,133,207],"challenging":[30],"when":[31],"the":[32,39,43,57,187],"previously":[36],"unseen":[37,80,98,140,216],"(e.g.,":[38],"COVID-19":[40],"outbreak":[41],"or":[42],"Russia-Ukraine":[44],"war).":[45],"However,":[46],"existing":[47],"CD-FND":[48,96,138,234],"methods":[49],"overlook":[50],"such":[51],"scenarios":[52],"consequently":[54],"suffer":[55],"following":[58],"two":[59,107],"key":[60,108],"limitations:":[61],"(1)":[62,111],"insufficient":[63],"modeling":[64],"of":[65,76,196],"high-level":[66,115,166],"semantics":[67,116,167],"in":[68,79,229],"user":[71,122,200],"engagements;":[72],"(2)":[74,127],"scarcity":[75],"labeled":[77],"data":[78],"domains.":[81,141,217],"Targeting":[82],"these":[83,144],"limitations,":[84],"we":[85,146],"find":[86],"that":[87,211,224],"large":[88],"language":[89],"models":[90,172],"(LLMs)":[91],"offer":[92],"strong":[93],"potential":[94],"on":[97,139,158,220],"domains,":[99],"their":[101],"effective":[102],"use":[103],"remains":[104],"non-trivial.":[105],"Nevertheless,":[106],"challenges":[109],"arise:":[110],"how":[112,128],"capture":[114],"both":[118,230],"content":[120],"engagements":[123,177],"using":[124],"LLMs;":[125],"make":[130],"LLM-generated":[131],"features":[132,192,195],"reliable":[134,208],"transferable":[136],"To":[142],"tackle":[143],"challenges,":[145],"propose":[147],"DAUD,":[148],"novel":[150],"LLM-based":[151],"Domain-Aware":[152],"framework":[153],"Unseen":[159],"Domains.":[160],"DAUD":[161,185,225],"employs":[162],"LLMs":[163],"extract":[165,206],"content.":[170],"It":[171],"users'":[173],"single-":[174],"cross-domain":[176],"generate":[179],"domain-aware":[180],"behavioral":[181],"representations.":[182],"In":[183],"addition,":[184],"captures":[186],"relations":[188],"between":[189],"original":[190],"data-driven":[191],"LLM-derived":[194],"news,":[197],"users,":[198],"engagements.":[201],"allows":[203],"it":[204],"domain-shared":[209],"representations":[210],"improve":[212],"transfer":[214],"Extensive":[218],"experiments":[219],"datasets":[222],"demonstrate":[223],"outperforms":[226],"state-of-the-art":[227],"baselines":[228],"general":[231],"unseen-domain":[233],"settings.":[235]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-04-10T00:00:00"}