ABSTRACT
This study applied the situational crisis communication theory (SCCT) in political crisis communication amidst the COVID-19 outbreak, a "sticky crisis" that is longitudinal and politicized, thereby involving multiple challenges and complexities. Considering the critical role of Twitter in the information transmissions during the ongoing pandemic, this study considered politicians' tweets as a proxy to access their crisis communication strategies and conducted a systematic content analysis to critically evaluate COVID-19 crisis communication strategies of two politicians, Trump and Cuomo, according to their perceived day-to-day circumstances during COVID-19. Three strategies categorized by SCCT, deny, diminish, and bolstering, surfaced with significance for both Trump and Cuomo. A new strategy specific to the political context, cohesion, was also identified. In addition, significant differentiation was observed in the strategic narratives between Trump and Cuomo, which reveals the evolving political dynamics in disease representation and crisis messaging. For example, Trump emphasized social exclusion and accusations of Democrats whilst Cuomo stressed care for vulnerable and minority groups and compassion delivery. Moreover, deny strategy, especially accusing other races, significantly boosted audience engagement for Trump. The results are discussed in relation to the idiosyncrasy of the complex COVID-19 pandemic and crisis communication in the political realm. Our findings demonstrate practical implications including online crisis messaging recommendations that foster public trust during politicized and polarized health emergencies and cultivate grounds for information exchange beyond partisan barriers.
ABSTRACT
Fake news have pervaded the social media landscape during the COVID-19 outbreak. To further explore what contributed to fake news susceptibility of social media users, the research 1) integrated a widely-adopted mass communication theory of third-person perception (TPP) with digital disinformation; 2) examined users' social media engagement and individual characteristics toward risk as antecedents of TPP; and lastly, 3) tested TPP of fake news under a context of COVID-19 outbreak, an uncertain situation flooded with baseless news and information. An online survey was conducted on 871 respondents via Amazon Mechanical Turk. As a result, we found that in the context of COVID-19, social media engagement 1) directly increased TPP; and 2) indirectly increased TPP via self-efficacy and perceived knowledge. However, negative affect failed to mediate a positive relationship between communal engagement and TPP, as the respondents rated themselves more attentive to fake news than are others. Therefore, the fact that social media directly and indirectly provoked higher TPP implicates that a potential harm of social media is not confined to a rumor mill that propagates false stories, as widely recognized, but can further extend to an echo chamber to cultivate a slanted belief that he or she is fake-news-proof.
ABSTRACT
Abstract Purpose This paper explores the Middle East Respiratory Syndrome (MERS) outbreak in South Korea in 2015 in order to examine social implications of news media's roles during rumour propagation. There was an alarming level of public fear during the disease outbreak due toan information crisis, resulted by the government's holdback of vital information and the widespread MERS rumours on social media. By paying attention to news coverage patterns of rumours and comparing them across the outbreak period, the paper examines the following research questions: (a) Under what media frames were the MERS rumours reported by the online news? (b) Which media frame did the online news use most frequently? (c) How did the media frames change during and after the information vacuum? Methods Content analysis of news articles that covered MERS rumours during the outbreak has been conducted. Inductive open coding has been performed to investigate what reactions and media frames the news coverages have demonstrated to report the rumour propagation. Sample The article samples were retrieved for big data analysis from the Big Kinds or the Korea Integrated News Database System (www.bigkinds.or.kr), by using the search terms, ?MERS? and ?SNS (Social Network Services).? A total of 142 articles have been sampled. Results The paper found 7 reaction variables and categorized them into 2 risk-reporting media frames: risk-alarming frame(Anxiety, Criticisms and Damage) and risk-mitigating frame (Government, Correction, Remedies and Causes). The paper discovered that anxiety was the most frequently observed reaction variable across all phases. The paper also concluded that there has been a decrease in risk-alarming media frames and an increase in attempts to analyze causes for the rumour propagation (Causes), as the outbreak proceeds to the second phase, when the information vacuum finally ended. Conclusion By exploring a disease outbreak in which ineffective risk management and absence of official information caused significant problems, the paper underlines the need for systematic risk communication measures, endorsed by effective collaboration among political leadership, media and the public.