Japanese Mainstream Media’s Stance on China’s Efforts in Poverty Alleviation Based on Big Data
An Informatization Study of News Report
- DOI
- 10.2991/978-94-6463-034-3_73How to use a DOI?
- Keywords
- poverty alleviation; critical discourse analysis; corpus; stance-taking; Sino-Japan cooperation
- Abstract
Big data technology has a huge impact on the patterns and structures of international relations as well as triggering changes in traditional research methods. Poverty governance is an important part of global governance and an essential step in promoting human development. In recent years, China has made remarkable achievements in poverty-eradication and has increasingly become the backbone strength in global anti-poverty campaign. The international press plays an essential role in actively contributing to the outreach of poverty alleviation experiences. This study selected the mainstream Japanese media Asahi Shinbun and collected China-related reports on the era of poverty alleviation. Based on the theoretical framework of critical discourse analysis and the comprehensiveness, authenticity and timeliness of big data technology in data analysis, the scientific research method of corpus was applied to explore Japan’s position on China’s efforts in poverty alleviation and to make proposals on Sino-Japan cooperation in poverty-eradication.
- Copyright
- © 2023 The Author(s)
- Open Access
- Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.
Cite this article
TY - CONF AU - Wenyu Zhang PY - 2022 DA - 2022/12/23 TI - Japanese Mainstream Media’s Stance on China’s Efforts in Poverty Alleviation Based on Big Data BT - Proceedings of the 2022 3rd International Conference on Big Data and Informatization Education (ICBDIE 2022) PB - Atlantis Press SP - 709 EP - 716 SN - 2589-4900 UR - https://doi.org/10.2991/978-94-6463-034-3_73 DO - 10.2991/978-94-6463-034-3_73 ID - Zhang2022 ER -