{"created":"2025-01-19T01:37:40.367399+00:00","updated":"2025-01-19T09:28:08.886109+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00235912","sets":["6504:11678:11689"]},"path":["11689"],"owner":"44499","recid":"235912","title":["ドメイン知識強化型混合エキスパートモデルによるフェイクニュース検出とその性能評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-03-01"},"_buckets":{"deposit":"f56c3945-a3f0-4af4-ab72-bc3466adea1f"},"_deposit":{"id":"235912","pid":{"type":"depid","value":"235912","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ドメイン知識強化型混合エキスパートモデルによるフェイクニュース検出とその性能評価","author_link":["644704","644702","644706","644705","644703"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ドメイン知識強化型混合エキスパートモデルによるフェイクニュース検出とその性能評価"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"人工知能と認知科学","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2024-03-01","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"岩手県大"},{"subitem_text_value":"岩手県大"},{"subitem_text_value":"岩手県大"},{"subitem_text_value":"岩手県大"},{"subitem_text_value":"岩手県大"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/235912/files/IPSJ-Z86-6N-03.pdf","label":"IPSJ-Z86-6N-03.pdf"},"date":[{"dateType":"Available","dateValue":"2024-07-03"}],"format":"application/pdf","filename":"IPSJ-Z86-6N-03.pdf","filesize":[{"value":"532.5 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"56960426-5e13-4570-ba6b-a2e616c22c80","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"李, 姣霖"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"児玉, 英一郎"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"王, 家宏"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"髙田, 豊雄"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"ベッドバハドゥール, ビスタ"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"2018年の「Science」誌による研究では、フェイクニュースが真実よりも速く広がることが指摘された。MMD研究所の2020年の調査によると、約70%の人がフェイクニュースを見抜く自信がないと報告され、その拡散は社会に大きな影響を与える可能性がある。本研究は混合エキスパートモデル（MoE）を用い、各々のエキスパートのドメイン知識を強化し、マルチドメインフェイクニュースの正確な検出手法を提案した。中国語のデータセットと英語のデータセット二種類を使用して行った評価実験では、効果的なフェイクニュース検出が確認された。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"132","bibliographic_titles":[{"bibliographic_title":"第86回全国大会講演論文集"}],"bibliographicPageStart":"131","bibliographicIssueDates":{"bibliographicIssueDate":"2024-03-01","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2024"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":235912,"links":{}}