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Nuclear Pollution or Safe Discharge: Topic Evolution and Cognitive Analysis on Fukushima's Treated Radioactive Water

文献类型：期刊论文

作者Liu, Xin1; Chen, Ziliang1; Wang, Fei-Yue2,3; Yang, Dawei1; Qin, Rui4; Pang, Mingjiang1; Ni, Qinghua3; Gao, Huiquan1
刊名IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS
出版日期2024-06-18
页码10
关键词Market research Cognition Analytical models Social networking (online) Data models Computer architecture Predictive models Fukushima treated radioactive water internet public opinion social media analysis Societies 5.0 topic evolution trend prediction
ISSN号2329-924X
DOI10.1109/TCSS.2024.3406700
通讯作者Liu, Xin(lx@upc.edu.cn)
英文摘要In the context of the Societies 5.0, a series of discussions on the emerging Fukushima treated radioactive water (FTRW) event was carried out, which has an impact on sustainable development in multiple fields including the economy, culture, and society. In order to comprehensively understand emerging topics and their evolution, explore the impact of people's cognition on their participation, and focus on people's attitudes and public participation in the FTRW event, we propose an evolution analysis framework (EAF) to analyze the massive multilingual comments and news collected from social media platforms in several countries. We design a multilingual topic extraction model (XLM-topic) to detect the patterns of topics and analyze their evolution. Potential relations between the FTRW event's elements are explored by relational reasoning based on a knowledge graph, which is established by entities and relations extracted from comments and news. Moreover, we predict the public attitudes and participation toward the FTRW event by utilizing our custom-designed public opinion cellular automata (POCA). The proposed POCA simulates the information dissemination, cognitive changes, and topic evolution among social groups in virtual spaces. It collaborates with XLM-topic to analyze trends in both physical and virtual spaces. Analysis results indicate that participants in different regions and countries have different attitudes and reactions toward the FTRW event, and the public's cognition on this event will interact with itself. Our study is conducive to promoting the integration and interaction of virtual space and physical space in the context of Societies 5.0, providing decision-making support for building a more harmonious and stable social environment.
WOS关键词PARALLEL ; FRAMEWORK ; SYSTEM
资助项目Shandong Provincial Natural Science Foundation[ZR2020MF045] ; Shandong Provincial Key Research and Development Program[2023RKL01004] ; National Natural Science Foundation of China[62071491]
WOS研究方向Computer Science
语种英语
WOS记录号WOS:001252495600001
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
资助机构Shandong Provincial Natural Science Foundation ; Shandong Provincial Key Research and Development Program ; National Natural Science Foundation of China
源URL[http://ir.ia.ac.cn/handle/173211/59124]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_先进控制与自动化团队
通讯作者Liu, Xin
作者单位1.China Univ Petr East China, Qingdao Inst Software, Coll Comp Sci & Technol, Qingdao 266580, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
3.Macau Univ Sci & Technol, Fac Innovat Engn, Macau 999078, Peoples R China
4.Chinese Acad Sci, Inst Automat, State Key Lab Multimodal Artificial Intelligence S, Beijing 100190, Peoples R China
推荐引用方式
GB/T 7714		 Liu, Xin,Chen, Ziliang,Wang, Fei-Yue,et al. Nuclear Pollution or Safe Discharge: Topic Evolution and Cognitive Analysis on Fukushima's Treated Radioactive Water[J]. IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,2024:10.
APA Liu, Xin.,Chen, Ziliang.,Wang, Fei-Yue.,Yang, Dawei.,Qin, Rui.,...&Gao, Huiquan.(2024).Nuclear Pollution or Safe Discharge: Topic Evolution and Cognitive Analysis on Fukushima's Treated Radioactive Water.IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS,10.
MLA Liu, Xin,et al."Nuclear Pollution or Safe Discharge: Topic Evolution and Cognitive Analysis on Fukushima's Treated Radioactive Water".IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS (2024):10.

入库方式： OAI收割

来源：自动化研究所

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