{"id":"https://openalex.org/W7130682121","doi":"https://doi.org/10.1109/indicon68490.2025.11393050","title":"Beyond Static Baselines: A Dynamic Multi-Agent Framework for Trustworthy and Auditable Fake News Detection","display_name":"Beyond Static Baselines: A Dynamic Multi-Agent Framework for Trustworthy and Auditable Fake News Detection","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W7130682121","doi":"https://doi.org/10.1109/indicon68490.2025.11393050"},"language":"en","primary_location":{"id":"doi:10.1109/indicon68490.2025.11393050","doi":"https://doi.org/10.1109/indicon68490.2025.11393050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indicon68490.2025.11393050","pdf_url":null,"source":{"id":"https://openalex.org/S4306418634","display_name":"IEEE India Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2025 IEEE 22nd India Council International Conference (INDICON)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5115744777","display_name":"Sai Venkata Jaswant Kolupuri","orcid":"https://orcid.org/0009-0000-6069-572X","observed_orcids":["https://orcid.org/0009-0000-6069-572X"]},"institutions":[{"id":"https://openalex.org/I4405257909","display_name":"RV University","ror":"https://ror.org/05t4ema23","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405257909"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sai Venkata Jaswant Kolupuri","raw_affiliation_strings":["RV University,Bangalore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RV University,Bangalore,India","institution_ids":["https://openalex.org/I4405257909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126454454","display_name":"Aryan Modi","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I4405257909","display_name":"RV University","ror":"https://ror.org/05t4ema23","country_code":"IN","type":"education","lineage":["https://openalex.org/I4405257909"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Aryan Modi","raw_affiliation_strings":["RV University,Bangalore,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RV University,Bangalore,India","institution_ids":["https://openalex.org/I4405257909"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021281866","display_name":"Ananya Paul","orcid":"https://orcid.org/0000-0002-2369-4223","observed_orcids":["https://orcid.org/0000-0002-2369-4223"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ananya Paul","raw_affiliation_strings":["Techno Main Salt Lake,Kolkata,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Techno Main Salt Lake,Kolkata,India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055609693","display_name":"Rajat Subhra Bhowmick","orcid":"https://orcid.org/0000-0003-4656-1762","observed_orcids":["https://orcid.org/0000-0003-4656-1762"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajat Subhra Bhowmick","raw_affiliation_strings":["EXL Service,Kolkata,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"EXL Service,Kolkata,India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"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":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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":0.0,"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":0.0,"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":0.9990000128746033},{"id":"https://openalex.org/keywords/misinformation","display_name":"misinformation","score":0.7870000004768372},{"id":"https://openalex.org/keywords/multi-agent-systems","display_name":"multi-agent systems","score":0.968999981880188},{"id":"https://openalex.org/keywords/langgraph","display_name":"LangGraph","score":0.7609999775886536},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.6890000104904175},{"id":"https://openalex.org/keywords/evidence-retrieval","display_name":"evidence retrieval","score":0.5910000205039978},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.4970000088214874}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7908999919891357},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5940999984741211},{"id":"https://openalex.org/C188198153","wikidata":"https://www.wikidata.org/wiki/Q1613840","display_name":"Limiting","level":2,"score":0.5328999757766724},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.49950000643730164},{"id":"https://openalex.org/C2779478453","wikidata":"https://www.wikidata.org/wiki/Q6889748","display_name":"Modularity (biology)","level":2,"score":0.4837999939918518},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.421099990606308},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.39989998936653137},{"id":"https://openalex.org/C2777381055","wikidata":"https://www.wikidata.org/wiki/Q308922","display_name":"Damages","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.36340001225471497},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.3546000123023987},{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.3537999987602234},{"id":"https://openalex.org/C59577422","wikidata":"https://www.wikidata.org/wiki/Q10265143","display_name":"False accusation","level":2,"score":0.34700000286102295},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.33309999108314514},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.32829999923706055},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.31279999017715454},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.31119999289512634},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.2973000109195709},{"id":"https://openalex.org/C2779201187","wikidata":"https://www.wikidata.org/wiki/Q2775060","display_name":"Information leakage","level":2,"score":0.28130000829696655},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.2687000036239624},{"id":"https://openalex.org/C80156102","wikidata":"https://www.wikidata.org/wiki/Q788036","display_name":"Resolver","level":3,"score":0.26829999685287476},{"id":"https://openalex.org/C2776831232","wikidata":"https://www.wikidata.org/wiki/Q966812","display_name":"Trusted Computing","level":2,"score":0.26820001006126404},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.2630000114440918},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C110875604","wikidata":"https://www.wikidata.org/wiki/Q75","display_name":"The Internet","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.2565000057220459},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2554999887943268},{"id":"https://openalex.org/C2778068216","wikidata":"https://www.wikidata.org/wiki/Q55019500","display_name":"Malice","level":2,"score":0.2540000081062317}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/indicon68490.2025.11393050","doi":"https://doi.org/10.1109/indicon68490.2025.11393050","is_oa":false,"landing_page_url":"https://doi.org/10.1109/indicon68490.2025.11393050","pdf_url":null,"source":{"id":"https://openalex.org/S4306418634","display_name":"IEEE India Conference","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2025 IEEE 22nd India Council International Conference (INDICON)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W2582561810","https://openalex.org/W2742330194","https://openalex.org/W2913081045","https://openalex.org/W4390886824","https://openalex.org/W4401863513","https://openalex.org/W4403577386","https://openalex.org/W4403719291","https://openalex.org/W4405993343"],"related_works":["https://openalex.org/W7117314297","https://openalex.org/W7118167587","https://openalex.org/W4403517928","https://openalex.org/W6966993507","https://openalex.org/W4396788613","https://openalex.org/W4409894995","https://openalex.org/W7152331100","https://openalex.org/W4416036304","https://openalex.org/W7149379076","https://openalex.org/W7160828609"],"abstract_inverted_index":{"The":[0,77,183],"emergence":[1],"of":[2,24,126,140,157,212],"digital":[3],"misinformation,":[4],"estimated":[5],"to":[6,46,58,99,148,179],"cost":[7],"$78":[8],"billion":[9],"a":[10,54,83,123,153,171,192,199],"year":[11],"in":[12,67,152,186],"damages":[13],"worldwide,":[14],"requires":[15],"proficient":[16],"detection":[17],"mechanisms":[18],"that":[19],"go":[20],"beyond":[21],"the":[22,74,97,111,131,141,146,162,168,209],"limitations":[23],"existing":[25,180],"models.":[26,160],"Current":[27],"Large":[28],"Language":[29],"Models":[30],"(LLM)":[31],"based":[32,101],"approaches":[33],"are":[34],"computationally":[35],"inefficient":[36],"and":[37,69,87,95,115,133,150,177,203],"rely":[38],"on":[39,102],"static":[40],"knowledge":[41],"bases,":[42],"limiting":[43],"their":[44],"ability":[45,147],"detect":[47],"dynamically":[48,79],"changing":[49],"misinformation.":[50,213],"In":[51],"this":[52,187],"paper,":[53],"new":[55],"multi-agentic":[56],"approach":[57,196],"fake":[59],"news":[60,92,128],"verification":[61],"is":[62,137],"presented,":[63],"allowing":[64],"for":[65],"reasoning":[66],"modularity":[68,132],"statefulness":[70],"with":[71],"LangGraph":[72],"as":[73],"brokering":[75],"agent.":[76],"system":[78],"retrieves":[80],"entities":[81],"from":[82,90,122],"claim,":[84],"retrieves,":[85],"caches":[86],"prompts":[88],"evidence":[89,103,121],"credible":[91],"sources,":[93],"decodes":[94],"evaluates":[96],"claim":[98],"classify":[100],"using":[104,135],"LLMs.":[105],"Unlike":[106],"general-purpose":[107],"LLMs":[108],"like":[109],"ChatGPT,":[110],"framework":[112,169],"ensures":[113],"auditable":[114],"reproducible":[116],"results":[117],"by":[118],"exclusively":[119],"pulling":[120],"domain-constrained":[124],"pipeline":[125],"trusted":[127],"sources.":[129],"While":[130],"architecture":[134],"graphs":[136],"just":[138],"one":[139],"elements":[142],"here,":[143],"it":[144],"highlights":[145],"think":[149],"reason":[151],"modular":[154],"way":[155],"out-side":[156],"single-pass":[158],"monolithic":[159],"On":[161],"\"Indian":[163],"Fake":[164],"News\"":[165],"benchmark":[166],"dataset,":[167],"produces":[170],"0.93":[172],"F1":[173],"score,":[174],"0.91":[175],"accuracy,":[176],"superiority":[178],"transformer":[181],"baselines.":[182],"mechanism":[184,207],"used":[185],"work":[188],"has":[189],"demonstrated":[190],"how":[191],"language-based,":[193],"evidence-augmented":[194],"agentic":[195],"can":[197],"provide":[198],"more":[200,205],"interpretable,":[201],"robust,":[202],"ultimately":[204],"effective":[206],"against":[208],"dynamic":[210],"threat":[211]},"counts_by_year":[],"updated_date":"2026-10-28T10:33:24.094632","created_date":"2026-02-21T00:00:00"}
