Abstract
In this chapter, the author describes the cases for the study’s analyses, research questions, and methodology to achieve this study’s goal that is to show the potential usefulness of social media data for detecting socio-economic recovery. First, in Sect. 3.1, the author introduces two large-scale disaster cases for the analysis of this study: the Great East Japan Earthquake and Tsunami of 2011 and Hurricane Sandy in 2012. In Sect. 3.2, the research questions and the research flowchart are described. Next, in Sect. 3.3, the data and the methodology regarding socio-economic recovery activities are provided. Lastly, in Sect. 3.4, the author explains the data and the methodology for applying the “people as sensors” approach. In Sect. 3.5, the author briefly summarizes this chapter.
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- 1.
A Japanese car category whose engine volumes are 660 cc or less.
- 2.
The Japanese National Tax Agency https://www.nta.go.jp/taxes/shiraberu/saigai/higashinihon/tokurei/jidosha_01/index.htm (accessed October 17, 2018, in Japanese).
- 3.
For the interviews, this study chose used-car dealers in Miyagi prefecture. Because Miyagi prefecture includes various damaged places. In addition, the author regards the interviewees as appropriate representatives of used-car dealers and an auction association in the damaged area because the author selected the interviewees carefully (as described in Table 3.2). The interviews were supported by Proto Corporation.
- 4.
http://www.fdma.go.jp/bn/higaihou_new.html (accessed September 30, 2018, in Japanese).
- 5.
http://www.mlit.go.jp/common/001131353.pdf (accessed September 30, 2018, in Japanese).
- 6.
Before 2017, the character limitation of each tweet had been 140, but it was extended to 280 in 2017 except for Japanese, Korean, and Chinese (https://blog.twitter.com/official/en_us/topics/product/2017/tweetingmadeeasier.html, accessed October 28th, 2018).
- 7.
https://developer.twitter.com/en/docs.html (accessed October 20th, 2018). Since 2018, all new developer accounts are required to go through the account application process by providing detailed information about how they use or intend to use Twitters APIs. The analysis of this study received ethical approval (No. 17-12) from the Graduate School of Interdisciplinary Information Studies, The University of Tokyo regarding using Twitter data for the analysis.
- 8.
In 2018, Facebook changed their data policy and restricted the data developers can collect from Facebook Graph APIs. In this study, the author uses only the data collected before the amendment. This study received ethical approval (No. 17-2) from the Graduate School of Interdisciplinary Information Studies, The University of Tokyo regarding using Facebook Pages data for the analysis.
- 9.
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Shibuya, Y. (2020). Methodology. In: Social Media Communication Data for Recovery. Springer, Singapore. https://doi.org/10.1007/978-981-15-0825-7_3
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