Questionnaire Testing: Identifying Twitter User's Information Sharing Behavior during Disasters

• Item type: Journal(1)
• 公開日: 2015-12-15
• タイトル: Questionnaire Testing: Identifying Twitter User's Information Sharing Behavior during Disasters
• タイトル / 言語: en
• タイトル: Questionnaire Testing: Identifying Twitter User's Information Sharing Behavior during Disasters
• 言語: eng
• キーワード / 主題Scheme: Other
• キーワード / 主題: [特集：ヒューマンファクタを考慮したセキュリティとプライバシ] questionnaire testing, information sharing, Twitter, disaster
• 資源タイプ / 資源タイプ識別子: http://purl.org/coar/resource_type/c_6501
• 資源タイプ: journal article
• 著者所属: Graduate School of Software and Information Science, Iwate Prefectural University
• 著者所属: Graduate School of Software and Information Science, Iwate Prefectural University
• 著者所属: Graduate School of Software and Information Science, Iwate Prefectural University
• 著者所属(英): en
• 著者所属(英): Graduate School of Software and Information Science, Iwate Prefectural University
• 著者所属(英): en
• 著者所属(英): Graduate School of Software and Information Science, Iwate Prefectural University
• 著者所属(英): en
• 著者所属(英): Graduate School of Software and Information Science, Iwate Prefectural University
• 著者名: Nor, Athiyah,Abdullah; Dai, Nishioka; Yuko, Murayama
• 著者名(英): Nor, Athiyah Abdullah; Dai, Nishioka; Yuko, Murayama
• 論文抄録 / 内容記述タイプ: Other
• 論文抄録 / 内容記述: The use of Twitter by citizens during catastrophic events is increasing with the availability of Internet services and the use of smartphones during disasters. After the Great East Japan Earthquake on 2011, Twitter was flooded with lots of disaster information, including misinformation that have been widely spread by retweet. Accordingly, we developed a questionnaire to investigate factors influenced people decision making to retweet disaster information they read from Twitter in disaster situations. We developed a questionnaire using brainstorming and KJ method and conducted a user survey (n = 57) to test the questionnaire items. Then, we analyzed using exploratory factor analysis and as a result, five factors derived from 38 question items which are: 1) Trustworthy information, 2) Relevance of the information during disasters, 3) Willingness to supply the information, 4) Importance of the information, and 5) Self Interest. However, there are 7 question items that need revision based on the results of the factor analysis. In this paper, we discuss the method we used to design the questionnaire and the result of the factor analyses of the questionnaire testing.; \n------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.24(2016) No.1 (online); ------------------------------
• 論文抄録(英) / 内容記述タイプ: Other
• 論文抄録(英) / 内容記述: The use of Twitter by citizens during catastrophic events is increasing with the availability of Internet services and the use of smartphones during disasters. After the Great East Japan Earthquake on 2011, Twitter was flooded with lots of disaster information, including misinformation that have been widely spread by retweet. Accordingly, we developed a questionnaire to investigate factors influenced people decision making to retweet disaster information they read from Twitter in disaster situations. We developed a questionnaire using brainstorming and KJ method and conducted a user survey (n = 57) to test the questionnaire items. Then, we analyzed using exploratory factor analysis and as a result, five factors derived from 38 question items which are: 1) Trustworthy information, 2) Relevance of the information during disasters, 3) Willingness to supply the information, 4) Importance of the information, and 5) Self Interest. However, there are 7 question items that need revision based on the results of the factor analysis. In this paper, we discuss the method we used to design the questionnaire and the result of the factor analyses of the questionnaire testing.; \n------------------------------; This is a preprint of an article intended for publication Journal of; Information Processing(JIP). This preprint should not be cited. This; article should be cited as: Journal of Information Processing Vol.24(2016) No.1 (online); ------------------------------
• 書誌レコードID / 収録物識別子タイプ: NCID
• 書誌レコードID / 収録物識別子: AN00116647
• 書誌情報: 情報処理学会論文誌; 巻 56, 号 12, 発行日 2015-12-15
• ISSN / 収録物識別子タイプ: ISSN
• ISSN / 収録物識別子: 1882-7764