| Issue |
E3S Web Conf.
Volume 214, 2020
2020 International Conference on Energy Big Data and Low-carbon Development Management (EBLDM 2020)
|
|
|---|---|---|
| Article Number | 03042 | |
| Number of page(s) | 6 | |
| Section | Digital Development and Environmental Management of Energy Supply Chain | |
| DOI | https://doi.org/10.1051/e3sconf/202021403042 | |
| Published online | 07 December 2020 | |
A New Approach for Study on Nostalgia Memory Based on Social Media Data
1 School of Art, Jiangsu University, Zhenjiang City, Jiangsu Province, China
2 School of Art, Jiangsu University, Zhenjiang City, Jiangsu Province, China
a 916577400@qq.com
b 13759459297@qq.com
In view of the unprecedented nostalgia crisis during the urbanization in China, a new approach to explore nostalgia memory based on social media data was proposed under the background when social media became a new memory mode and carrier. Firstly, the targets of mining were expounded based on the memory theory. A complete homesickness memory can be constructed through the mining and analysis of three components of nostalgia memory: person, place and time. Secondly, the data and spatial analysis methods and techniques were studied by combining with the existing literature and practice research, and the application in nostalgia memory mining was deduced. Finally, the characteristics of social media data different from traditional memory media in subject, content and space-time were put forward, and the opportunities and challenges were also considered.
© The Authors, published by EDP Sciences, 2020
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