由上海對(duì)外經(jīng)貿(mào)大學(xué)人工智能與變革管理研究院研究團(tuán)隊(duì)成員賈堃（碩士研究生）、祝藝真（碩士研究生）、張鈺歆、劉峰*、齊佳音*合作撰寫(xiě)的學(xué)術(shù)論文“International public opinion analysis of four Olympic games: From 2008 to 2022”被CSCD核心期刊《Journal of Safety Science and Resilience》（《安全科學(xué)與韌性（英文）》）錄用。該期刊由中國(guó)科學(xué)院主管，旨在發(fā)展為安全科學(xué)領(lǐng)域的具有引領(lǐng)性和前瞻性、高度學(xué)術(shù)信譽(yù)與權(quán)威度及國(guó)際影響力的國(guó)際學(xué)術(shù)期刊，主要發(fā)表關(guān)于安全科學(xué)與復(fù)原力實(shí)踐的科學(xué)研究，以及該領(lǐng)域的最新改進(jìn)。

研究成果基于從Twitter、YouTube等社交媒體平臺(tái)以及各國(guó)傳統(tǒng)大眾媒體中獲取的超過(guò)100萬(wàn)條中英文UGC(User Generated Contents)進(jìn)行情感分析，以比較兩種語(yǔ)言在國(guó)際輿情中的異同，探討了上述四屆奧運(yùn)會(huì)的國(guó)際輿論話(huà)題演變和情感差異，為2022年北京冬奧會(huì)的國(guó)際輿論引導(dǎo)和媒體應(yīng)對(duì)提供了現(xiàn)實(shí)的依據(jù)。

成果摘要

Abstract: 

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) were obtained from the social media platform such as Twitter, YouTube, as well as traditional mass media in various countries.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  related to COVID-19 involving China, negative public opinion is overwhelming, with huge emotional fluctuations；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.

Keywords:

public opinion; sentiment analysis; Olympic Games; COVID-19 pandemic; Computational Affection