{"id":"https://openalex.org/W4416251816","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229234","title":"AMDWA: An Adaptive Multi-Dimensional Weight Adjustment Method for Fake News Detection","display_name":"AMDWA: An Adaptive Multi-Dimensional Weight Adjustment Method for Fake News Detection","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4416251816","doi":"https://doi.org/10.1109/ijcnn64981.2025.11229234"},"language":null,"primary_location":{"id":"doi:10.1109/ijcnn64981.2025.11229234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","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/A5101728885","display_name":"Yue Zhu","orcid":"https://orcid.org/0000-0002-2615-1291"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Zhu","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030200922","display_name":"Lin Shen","orcid":"https://orcid.org/0000-0001-8101-4129"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Shen","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114028886","display_name":"Yubin Sheng","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Sheng","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019861049","display_name":"Yao Xiao","orcid":"https://orcid.org/0000-0002-0622-1045"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Xiao","raw_affiliation_strings":["Xinjiang University,School of Software,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xinjiang University,School of Software,Changsha,China","institution_ids":["https://openalex.org/I96908189"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101841981","display_name":"Zuping Zhang","orcid":"https://orcid.org/0000-0002-3295-2861"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuping Zhang","raw_affiliation_strings":["Central South University,School of Computer Science and Engineering,Changsha,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University,School of Computer Science and Engineering,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.9463000297546387,"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":0.9463000297546387,"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":0.016599999740719795,"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/T14347","display_name":"Big Data and Digital Economy","score":0.0044999998062849045,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.8174999952316284},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7807000279426575},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.5738000273704529},{"id":"https://openalex.org/keywords/fake-news","display_name":"Fake news","score":0.5354999899864197},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.46639999747276306}],"concepts":[{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.8174999952316284},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7807000279426575},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.685699999332428},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.5738000273704529},{"id":"https://openalex.org/C2779756789","wikidata":"https://www.wikidata.org/wiki/Q28549308","display_name":"Fake news","level":2,"score":0.5354999899864197},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46959999203681946},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.46639999747276306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42080000042915344},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2833000123500824},{"id":"https://openalex.org/C52970973","wikidata":"https://www.wikidata.org/wiki/Q2497134","display_name":"Adaptive system","level":2,"score":0.26260000467300415}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn64981.2025.11229234","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn64981.2025.11229234","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2410465342","https://openalex.org/W2612179682","https://openalex.org/W2903981179","https://openalex.org/W2912642460","https://openalex.org/W2928499618","https://openalex.org/W2979826702","https://openalex.org/W3034020579","https://openalex.org/W3093115118","https://openalex.org/W3176191710","https://openalex.org/W4224316507","https://openalex.org/W4382131058","https://openalex.org/W4385488694","https://openalex.org/W4388820628","https://openalex.org/W4392637187","https://openalex.org/W4393160654","https://openalex.org/W4401043276","https://openalex.org/W4401974878","https://openalex.org/W4402351777","https://openalex.org/W4402352438","https://openalex.org/W4402671080","https://openalex.org/W4403517928"],"related_works":[],"abstract_inverted_index":{"In":[0],"fake":[1,139],"news":[2,25,140],"detection,":[3],"agent":[4,103],"systems":[5],"leverage":[6],"various":[7,98],"tools,":[8],"including":[9],"large":[10],"language":[11,110],"models":[12],"(LLMs),":[13],"search":[14],"engines,":[15],"and":[16,36,136],"other":[17],"external":[18],"resources,":[19],"to":[20,55,64,124],"conduct":[21],"multi-dimensional":[22,116],"analyses":[23],"of":[24,60,96,114,129,138],"items.":[26],"These":[27],"tools":[28,99],"assess":[29],"factors":[30],"like":[31],"text":[32],"style,":[33],"emotional":[34],"tone,":[35],"contextual":[37],"relevance,":[38],"providing":[39],"essential":[40],"auxiliary":[41],"information.":[42],"However,":[43],"when":[44],"LLMs":[45],"are":[46],"tasked":[47],"with":[48],"synthesizing":[49],"these":[50],"analyses,":[51],"they":[52],"often":[53],"struggle":[54],"appropriately":[56],"weigh":[57],"the":[58,73,94,97,102,115,127,134],"significance":[59],"each":[61,130],"dimension,":[62,131],"leading":[63],"suboptimal":[65],"performance.":[66],"To":[67],"address":[68],"this":[69],"limitation,":[70],"we":[71],"propose":[72],"Adaptive":[74],"Multi-Dimensional":[75],"Weight":[76],"Adjustment":[77],"(AMDWA)":[78],"approach.":[79],"AMDWA":[80,146],"differs":[81],"from":[82],"traditional":[83],"agent-based":[84],"methods":[85],"in":[86],"two":[87,152],"key":[88],"ways:":[89],"it":[90,119],"not":[91],"only":[92],"integrates":[93],"output":[95],"employed":[100],"by":[101],"but":[104],"also":[105],"incorporates":[106],"a":[107],"small":[108],"fine-tuned":[109],"model":[111],"as":[112],"part":[113],"analysis.":[117],"Furthermore,":[118],"employs":[120],"an":[121],"attention":[122],"mechanism":[123],"dynamically":[125],"adjust":[126],"weight":[128],"improving":[132],"both":[133],"accuracy":[135],"interpretability":[137],"detection.":[141],"Experimental":[142],"results":[143],"demonstrate":[144],"that":[145],"significantly":[147],"improves":[148],"detection":[149],"performance":[150],"on":[151],"real-world":[153],"datasets.":[154]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-11-14T00:00:00"}