{"updated":"2025-01-21T07:15:34.330224+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00111530","sets":["6504:7208:7829"]},"path":["7829"],"owner":"6748","recid":"111530","title":["震災時におけるツイッターのトレンドワードと拡散情報を利用したデマ推定の一考察"],"pubdate":{"attribute_name":"公開日","attribute_value":"2013-03-06"},"_buckets":{"deposit":"36fa8051-bb09-40f6-910d-bfebae6e26ad"},"_deposit":{"id":"111530","pid":{"type":"depid","value":"111530","revision_id":0},"owners":[6748],"status":"published","created_by":6748},"item_title":"震災時におけるツイッターのトレンドワードと拡散情報を利用したデマ推定の一考察","author_link":["30256","30258","30259","30257","30255"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"震災時におけるツイッターのトレンドワードと拡散情報を利用したデマ推定の一考察"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2013-03-06","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":"東大"}]},"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/111530/files/IPSJ-Z75-1V-2.pdf"},"date":[{"dateType":"Available","dateValue":"2014-12-19"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-Z75-1V-2.pdf","filesize":[{"value":"247.6 kB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"bfa9b86e-7550-4403-8897-d67c01945437","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2013 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"須田剛裕"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"小嶋和徳"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"伊藤慶明"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"石亀昌明"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"鳥海不二夫"}],"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":"現在ソーシャルネット・ワーキング・サービス(SNS)は，テレビや新聞といった既存のメディアと並んで情報収集のツールとして，また知人や友人らと繋がりをもつことでネットワークを構築し，情報の共有などを行っている．東日本大震災時に投稿され拡散した数多くの情報には，結果的に間違った情報であったデマも含まれてしまった．そこで本研究では東日本大震災時にTwitterに投稿された約3億のTweetデータにおいて，リツイート数などを使って情報の拡散状況とデマにつながりやすいキーワードを分析結果を特徴量としたクラスタリングを行うことで，デマ情報かどうかを推定する試みを行う．","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"100","bibliographic_titles":[{"bibliographic_title":"第75回全国大会講演論文集"}],"bibliographicPageStart":"99","bibliographicIssueDates":{"bibliographicIssueDate":"2013-03-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2013"}]},"relation_version_is_last":true,"weko_creator_id":"6748"},"created":"2025-01-18T23:53:38.301972+00:00","id":111530,"links":{}}