{"id":"https://openalex.org/W4412376665","doi":"https://doi.org/10.1007/s10994-025-06827-9","title":"Breaking domain barriers: mixture of experts for cross-domain fake news detection","display_name":"Breaking domain barriers: mixture of experts for cross-domain fake news detection","publication_year":2025,"publication_date":"2025-07-14","ids":{"openalex":"https://openalex.org/W4412376665","doi":"https://doi.org/10.1007/s10994-025-06827-9"},"language":"en","primary_location":{"id":"doi:10.1007/s10994-025-06827-9","doi":"https://doi.org/10.1007/s10994-025-06827-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-025-06827-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06827-9.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06827-9.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5013104931","display_name":"Angelica Liguori","orcid":"https://orcid.org/0000-0001-9402-7375","observed_orcids":["https://orcid.org/0000-0001-9402-7375"]},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Angelica Liguori","raw_affiliation_strings":["Institute for High Performance Computing and Networking, Italian National Research Council, Via P. Bucci 8/9C, 87036, Rende, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking, Italian National Research Council, Via P. Bucci 8/9C, 87036, Rende, Italy","institution_ids":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089644793","display_name":"Francesco Sergio Pisani","orcid":"https://orcid.org/0000-0003-2922-0835","observed_orcids":["https://orcid.org/0000-0003-2922-0835"]},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Francesco Sergio Pisani","raw_affiliation_strings":["Institute for High Performance Computing and Networking, Italian National Research Council, Via P. Bucci 8/9C, 87036, Rende, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking, Italian National Research Council, Via P. Bucci 8/9C, 87036, Rende, Italy","institution_ids":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077504436","display_name":"Carmela Comito","orcid":"https://orcid.org/0000-0001-9116-4323","observed_orcids":["https://orcid.org/0000-0001-9116-4323"]},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Carmela Comito","raw_affiliation_strings":["Institute for High Performance Computing and Networking, Italian National Research Council, Via P. Bucci 8/9C, 87036, Rende, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking, Italian National Research Council, Via P. Bucci 8/9C, 87036, Rende, Italy","institution_ids":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025844977","display_name":"Massimo Guarascio","orcid":"https://orcid.org/0000-0001-7711-9833","observed_orcids":["https://orcid.org/0000-0001-7711-9833"]},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Massimo Guarascio","raw_affiliation_strings":["Institute for High Performance Computing and Networking, Italian National Research Council, Via P. Bucci 8/9C, 87036, Rende, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking, Italian National Research Council, Via P. Bucci 8/9C, 87036, Rende, Italy","institution_ids":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004372595","display_name":"Giuseppe Manco","orcid":"https://orcid.org/0000-0001-9672-3833","observed_orcids":["https://orcid.org/0000-0001-9672-3833"]},"institutions":[{"id":"https://openalex.org/I3005160176","display_name":"Institute for High Performance Computing and Networking","ror":"https://ror.org/04r5fge26","country_code":"IT","type":"facility","lineage":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]},{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Manco","raw_affiliation_strings":["Institute for High Performance Computing and Networking, Italian National Research Council, Via P. Bucci 8/9C, 87036, Rende, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for High Performance Computing and Networking, Italian National Research Council, Via P. Bucci 8/9C, 87036, Rende, Italy","institution_ids":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5013104931"],"corresponding_institution_ids":["https://openalex.org/I3005160176","https://openalex.org/I4210155236"],"apc_list":{"value":3290,"currency":"USD","value_usd":3290},"apc_paid":{"value":3290,"currency":"USD","value_usd":3290},"fwci":8.8915,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.97365992,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"114","issue":"8","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9990000128746033,"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":0.9990000128746033,"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":0.00019999999494757503,"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/T10028","display_name":"Topic Modeling","score":0.00019999999494757503,"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-detection","display_name":"fake news detection","score":0.9929999709129333},{"id":"https://openalex.org/keywords/domain-generalization","display_name":"domain generalization","score":0.7459999918937683},{"id":"https://openalex.org/keywords/mixture-of-experts","display_name":"mixture of experts","score":0.9819999933242798},{"id":"https://openalex.org/keywords/mermaids","display_name":"mermaids","score":0.8330000042915344},{"id":"https://openalex.org/keywords/zero-shot-learning","display_name":"zero-shot learning","score":0.7519999742507935},{"id":"https://openalex.org/keywords/few-shot-learning","display_name":"few-shot learning","score":0.996999979019165},{"id":"https://openalex.org/keywords/model-merging","display_name":"model merging","score":0.7269999980926514},{"id":"https://openalex.org/keywords/social-media-misinformation","display_name":"social media misinformation","score":0.6890000104904175},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"domain adaptation","score":0.3720000088214874},{"id":"https://openalex.org/keywords/fine-tuning","display_name":"fine-tuning","score":0.6299999952316284}],"concepts":[{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6948766112327576},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.552460253238678},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5507064461708069},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.220565527677536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12728169560432434},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10994-025-06827-9","doi":"https://doi.org/10.1007/s10994-025-06827-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-025-06827-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06827-9.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s10994-025-06827-9","doi":"https://doi.org/10.1007/s10994-025-06827-9","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10994-025-06827-9","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10994-025-06827-9.pdf","source":{"id":"https://openalex.org/S62148650","display_name":"Machine Learning","issn_l":"0885-6125","issn":["0885-6125","1573-0565"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-b","cwts-core","dongbi-b","jufo-3","norway-2","poland-140","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Machine Learning","raw_type":"journal-article"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G1622702131","display_name":null,"funder_award_id":"PRIN-PNRR2022","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G4317964049","display_name":null,"funder_award_id":"IR0000013","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"},{"id":"https://openalex.org/G507880695","display_name":null,"funder_award_id":"PE00000014","funder_id":"https://openalex.org/F4320320300","funder_display_name":"European Commission"}],"funders":[{"id":"https://openalex.org/F4320320300","display_name":"European Commission","ror":"https://ror.org/00k4n6c32"},{"id":"https://openalex.org/F7311471023","display_name":"NextGenerationEU","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412376665.pdf","grobid_xml":"https://content.openalex.org/works/W4412376665.grobid-xml"},"referenced_works_count":20,"referenced_works":["https://openalex.org/W1566289585","https://openalex.org/W2066334462","https://openalex.org/W2170505850","https://openalex.org/W2611921107","https://openalex.org/W2742330194","https://openalex.org/W2809476703","https://openalex.org/W2919115771","https://openalex.org/W2963341956","https://openalex.org/W2969762015","https://openalex.org/W3033187248","https://openalex.org/W3210022786","https://openalex.org/W4206698317","https://openalex.org/W4221122068","https://openalex.org/W4283712118","https://openalex.org/W4285126597","https://openalex.org/W4385458448","https://openalex.org/W4395037636","https://openalex.org/W4399665857","https://openalex.org/W4406843935","https://openalex.org/W7133200254"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2890339288","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2966672946","https://openalex.org/W2376932109"],"abstract_inverted_index":{"Social":[0],"media":[1],"have":[2],"become":[3],"a":[4,31,45,53,77,102,151],"key":[5],"tool":[6],"for":[7,48,132],"rapidly":[8],"spreading":[9],"information":[10],"worldwide,":[11],"amplifying":[12],"the":[13,25,84,127,157,170],"risks":[14],"of":[15,34,56,79,129,154,172],"misinformation":[16],"and":[17,106,178],"fake":[18,28,50],"news.":[19,51],"This":[20],"is":[21,59,98,119,160],"also":[22],"intensified":[23],"by":[24],"fact":[26],"that":[27,82],"news":[29],"covers":[30],"wide":[32],"range":[33],"topics":[35],"across":[36],"multiple":[37],"domains.":[38,69,95,114,137],"Machine":[39],"learning,":[40],"particularly":[41],"language":[42],"models,":[43],"offers":[44],"promising":[46],"solution":[47],"detecting":[49],"However,":[52],"major":[54],"limitation":[55],"existing":[57],"methods":[58],"their":[60],"inability":[61],"to":[62,90,122],"classify":[63,91],"instances":[64,134],"from":[65,86,93,111,135,156],"new":[66],"or":[67],"unseen":[68],"To":[70],"tackle":[71],"this":[72],"issue,":[73],"we":[74],"introduce":[75],"MERMAID,":[76],"mixture":[78],"experts":[80],"approach":[81,141],"leverages":[83],"knowledge":[85],"different":[87],"specialized":[88],"models":[89,130],"examples":[92],"unknown":[94,136],"Each":[96],"expert":[97],"initially":[99],"trained":[100],"on":[101,165],"specific":[103],"known":[104,113],"domain":[105,159],"then":[107,120],"fine-tuned":[108],"using":[109],"data":[110,155],"other":[112],"A":[115],"model":[116],"merging":[117],"procedure":[118],"applied":[121],"combine":[123],"related":[124],"experts,":[125],"reducing":[126],"number":[128],"required":[131],"predicting":[133],"In":[138],"addition,":[139],"our":[140,173],"can":[142],"effectively":[143],"be":[144],"used":[145],"in":[146,175],"few-shot":[147,179],"learning":[148,180],"scenarios,":[149],"where":[150],"small":[152],"amount":[153],"target/unknown":[158],"available":[161],"during":[162],"training.":[163],"Experiments":[164],"five":[166],"benchmark":[167],"datasets":[168],"demonstrate":[169],"effectiveness":[171],"method":[174],"both":[176],"zero-shot":[177],"settings.":[181]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-15T10:00:46.086208","created_date":"2025-10-10T00:00:00"}
