{"title":"Discourse wars and ‘mask diplomacy’: China’s global image management in times of crisis","authors":"Stefan Müller, Samuel Brazys, Alexander Dukalskis","doi":"10.1080/2474736x.2024.2337632","DOIUrl":null,"url":null,"abstract":"To achieve foreign policy goals and boost domestic prestige states try to influence how they are perceived by foreign publics. Particularly in times of crisis the need to avoid a negative image may see states mobilize resources to change the global narrative about events or policies. This paper engages broader questions about states’ image management and strategic narratives by investigating if China’s “mask diplomacy” efforts helped mitigate any reputational damage resulting from Covid-19’s origins in Wuhan. We validate and apply a semi-supervised scaling method to 1.5 million English statements in newspapers mentioning China and Covid-19. Multi-period difference-indifferences models reveal that media tone improves significantly after the onset of mask diplomacy efforts in a given country. Using its Covid-19 White Paper to determine China’s preferred narratives, we also find that a country’s independent media reproduced these key terms much more after having received support from China. Author Information Stefan Müller Assistant Professor and Ad Astra Fellow School of Politics and International Relations University College Dublin stefan.mueller@ucd.ie Samuel Brazys Associate Professor School of Politics and International Relations University College Dublin samuel.brazys@ucd.ie Alexander Dukalskis Associate Professor School of Politics and International Relations University College Dublin alexander.dukalskis@ucd.ie The views expressed in AidData Working Papers are those of the authors and should not be attributed to AidData or funders of AidData’s work, nor do they necessarily reflect the views of any of the many institutions or individuals acknowledged here.","PeriodicalId":509091,"journal":{"name":"Political Research Exchange","volume":"7 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Political Research Exchange","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/2474736x.2024.2337632","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
To achieve foreign policy goals and boost domestic prestige states try to influence how they are perceived by foreign publics. Particularly in times of crisis the need to avoid a negative image may see states mobilize resources to change the global narrative about events or policies. This paper engages broader questions about states’ image management and strategic narratives by investigating if China’s “mask diplomacy” efforts helped mitigate any reputational damage resulting from Covid-19’s origins in Wuhan. We validate and apply a semi-supervised scaling method to 1.5 million English statements in newspapers mentioning China and Covid-19. Multi-period difference-indifferences models reveal that media tone improves significantly after the onset of mask diplomacy efforts in a given country. Using its Covid-19 White Paper to determine China’s preferred narratives, we also find that a country’s independent media reproduced these key terms much more after having received support from China. Author Information Stefan Müller Assistant Professor and Ad Astra Fellow School of Politics and International Relations University College Dublin stefan.mueller@ucd.ie Samuel Brazys Associate Professor School of Politics and International Relations University College Dublin samuel.brazys@ucd.ie Alexander Dukalskis Associate Professor School of Politics and International Relations University College Dublin alexander.dukalskis@ucd.ie The views expressed in AidData Working Papers are those of the authors and should not be attributed to AidData or funders of AidData’s work, nor do they necessarily reflect the views of any of the many institutions or individuals acknowledged here.