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![はじめに
• 情報技術と連携した災害情報収集の試み
• DISAANA：災害時のSNS情報分析システム[水野ら, 2017]
• 航空写真を用いた屋根の損傷率の自動算出[藤田, 2022]
• 各市町村が提供する防災アプリケーション
インタラク...](https://image.slidesharecdn.com/sigam2023-250625011621-044b848d/75/SNS-30-pp-47-54-2023-4-2048.jpg?cb=1750814537)
![対話性を持ったSNS
SNSは「友達」から情報が徐々に伝播する
• （ネットワーク的に）身近な対象に対して優先的に情報が伝わり，
徐々に広範囲に拡散される
• Twitterは特に拡散性が高い[風間, 2012]
• 「つぶやき」が「発信」にな...](https://image.slidesharecdn.com/sigam2023-250625011621-044b848d/75/SNS-30-pp-47-54-2023-14-2048.jpg?cb=1750814537)
![Twitter利用における諸課題
• 情報のコンタミネーションの問題
• 情報獲得の際に無関係の情報が混じること
• キーワードやハッシュタグを用いて情報を抽出しても，
無関係の情報が混ざりやすい [森野, 2022]
• 「救助」というキーワ...](https://image.slidesharecdn.com/sigam2023-250625011621-044b848d/75/SNS-30-pp-47-54-2023-16-2048.jpg?cb=1750814537)
![Twitter利用における諸課題
• 誇張，虚偽の情報の問題
• Twitterは誤った情報や虚偽の情報，不完全な情報が
しばしば広く拡散される[藤代, 2014]
• 「善意の第三者」による拡散
• 誤った情報を修正するための情報は拡散されな...](https://image.slidesharecdn.com/sigam2023-250625011621-044b848d/75/SNS-30-pp-47-54-2023-17-2048.jpg?cb=1750814537)
