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International public opinion analysis of four olympic games:From 2008 to 2022

Journal of Safety Science and Resilience 2022年第3期3卷 252-262页

作者： Kun Jia Yizhen Zhu Yuxin Zhang Feng Liu Jiayin Qi Institute of Artificial Intelligence and Change Management Shanghai University of International Business and EconomicsShanghai 201620China School of Statistics and Information Shanghai University of International Business and EconomicsShanghai 201620China School of Computer Science and Technology East China Normal UniversityShanghai 200062China Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention other institutesSchool of Psychology and Cognitive ScienceEast China Normal UniversityShanghai 200062China

Since the rapid spread of the COVID-19 worldwide,the pandemic has led to a huge impact on global sporting events.As a major international event,the 2022 Beijing Winter Olympics has commonalities with the 2008 Beijing Olympics,the 2014 Sochi Winter Olympics,and the 2020 Tokyo Olympics in terms of international public opinion context and epidemiological background.In this study,over 1 million pieces of UGC(User Generated Contents)in Chinese and English languages were obtained from social media platforms such as Twitter,YouTube,as well as traditional mass media in various countries to compare the differences between the two languages in international public opinion.Using sentiment analysis,this study explores the evolution of international public opinion topics and sentiment differences among the above four Olympic Games.The analysis results show that:1)regardless of traditional mass media or online social media,there is a more obvious tendency of general politicization in the topics of the 2008 Beijing Olympics and 2022 Beijing Winter Olympics,and extreme emotional remarks of the 2022 Beijing Winter Olympics are more frequent;2)in the topic of political opinion involving China,international Chinese public opinion presents more negative sentiment than those in English;3)Among the topics involving COVID-19,the negative level of public opinion in Chinese and English is opposite for the 2020 Tokyo Olympics and the 2022 Beijing Winter Olympics;4)International public opinion on the topic of sports events is significantly more positive in Chinese than in English;5)YouTube’s Chinese opinion environment is better than English.

关键词： Public opinion Sentiment analysis Olympic games COVID-19 pandemic Computational affection

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Artificial intelligence empowering research on loneliness, depression and anxiety-Using Covid-19 as an opportunity

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Journal of Safety Science and Resilience 2023年第4期4卷 396-409页

作者： Qijian Zheng Feng Liu Shuya Xu Jingyi Hu Haixing Lu Tingting Liu School of Computer Science and Technology East China Normal University3663 Zhongshan North RoadShanghai200062China New York University Shanghai No.567Yangsi West RoadPudong DistrictShanghai200126China School of Psychology and Cognitive Science East China Normal University3663 Zhongshan North RoadShanghai200062China Shanghai Key Laboratory of Mental Health and Psychological Crisis Intervention School of Psychology and Cognitive ScienceEast China Normal University3663 Zhongshan North RoadShanghai200062China Faculty of Economics and Management East China Normal University3663 Zhongshan North RoadShanghai200062China

The COVID-19 pandemic has had a profound impact on public mental health,leading to a surge in loneliness,depression,and anxiety.And these public psychological issues increasingly become a factor affecting social order.As researchers explore ways to address these issues,artificial intelligence(AI)has emerged as a powerful tool for understanding and supporting mental health.In this paper,we provide a thorough literature review on the emotions(EMO)of loneliness,depression,and anxiety(EMO-LDA)before and during the COVID-19 pandemic.Additionally,we evaluate the application of AI in EMO-LDA research from 2018 to 2023(AI-LDA)using Latent Dirichlet Allocation(LDA)topic modeling.Our analysis reveals a significant increase in the proportion of literature on EMO-LDA and AI-LDA before and during the COVID-19 pandemic.We also observe changes in research hotspots and trends in both field.Moreover,our results suggest that the collaborative research of EMO-LDA and AI-LDA is a promising direction for future research.In conclusion,our review highlights the urgent need for effective interventions to address the mental health challenges posed by the COVID-19 pandemic.Our findings suggest that the integration of AI in EMO-LDA research has the potential to provide new insights and solutions to support individuals facing loneliness,depression,and anxiety.And we hope that our study will inspire further research in this vital and revelant domin.

关键词： COVID-19 Loneliness Depression Anxiety EMO-LDA AI-LDA Computational affection

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