![]() This discussion emphasizes that public opinion does not simply comprise an amalgam of isolated or scattered opinions but also comprises the process of individual opinions interacting with one another. īy contrast, this paper aims to provide a dynamic analysis of the COVID-19 pandemic from a nuanced look at the news constructed within the interactions of different media channels. However, this method can only provide a static analysis of health security and incidents of infectious disease. Extensive research analyzes the media coverage of hygiene security and infectious disease control using a traditional content-analysis method. Primarily, Chinese scholars have examined different agendas among official media, semi-privatized commercial media, and other social media accounts (e.g., ). Utilizing a framing analysis, Jia and Lu analyzed media coverage of COVID-19 in The New York Times, The Wall Street Journal, the Washington Post, and Foreign Policy and concluded that these four news outlets employed several main rhetorical techniques linking the virus and China, including “naming/shaming” (i.e., using labels suggesting that China should be associated with the virus), “blaming” (i.e., accusing the Chinese political system and food culture as causes of the pandemic outbreak), and “taming” (i.e., taking an approach to weaken China’s international prestige). Īs such, many scholars are focusing their research on COVID-19 media coverage from multiple perspectives of news production and content. Although scientific experts and government officials have been furnishing the public with essential health guidelines, news media still play an important role in raising public awareness about healthy behaviors. Many countries are pressing ahead, in a concerted response, with administering available vaccines in order to limit the spread of the virus. To fight the virus, much of the world has taken vigorous action to develop new vaccines. With over 455,675,890 confirmed COVID-19 cases and 6,038,904 deaths reported worldwide by March 12, 2022, the overall effect of the pandemic has had a huge impact on peoples’ lives. On January 30, 2020, the World Health Organization (WHO) declared the global coronavirus (COVID-19) outbreak a pandemic. Implications and future directions were further discussed. Using a fine-grained analysis, we separately investigated the effects of official and semi-privatized commercial media on predicting the pandemic prevalence, referring to the number of confirmed cases reported in real time. ![]() ![]() Both of them focused on “treatment on patients,” “work resumption,” and “propaganda and mobilization.” Importantly, this paper sheds light on the value of the fine-grained level of agenda in IAS research. Our results indicated that, in this nonwestern state-regulated China media environment, official and semi-privatized commercial media had a significant reciprocal relationship in news coverage. Both supervised machine learning and time series analysis were employed to analyze 350,059 Weibo posts released by 3,883 news sources between December 2019 and April 2020. Based on Intermedia Agenda Setting (IAS), the current study examines how official media and semi-privatized commercial media on the Weibo platform covered the COVID-19 pandemic in China.
0 Comments
Leave a Reply. |