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Journal ArticleDOI

Framing the MERS information crisis: An analysis on online news media's rumour coverage

TLDR
In this article, the authors explored 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.
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.

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Citations
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Journal ArticleDOI

Echo Chamber Effect in Rumor Rebuttal Discussions About COVID-19 in China: Social Media Content and Network Analysis Study.

TL;DR: Wang et al. as mentioned in this paper investigated the effect of the echo chamber effect on the shaping of individuals' attitudes when retweeting or commenting on others' tweets during the COVID-19 epidemic on Weibo, a Chinese social media platform.
Journal ArticleDOI

Accuracy of health-related information regarding COVID-19 on Twitter during a global pandemic.

TL;DR: In this paper, the authors analyzed the accuracy of health-related information on Twitter during the coronavirus disease 2019 (COVID-19) pandemic and found that a total of 25.4% of tweets were inaccurate.
Journal ArticleDOI

Structural Topic Model Analysis of Mask-Wearing Issue Using International News Big Data.

TL;DR: In this article, the authors collected and analyzed 58,061 international news items related to mask-wearing from 1 January 2019 to 31 December 2020, and compared before and after the World Health Organization's pandemic declaration by applying structural topic model analysis.
Journal ArticleDOI

Infoveillance of the Croatian Online Media during the COVID-19 Pandemic: a One-Year Longitudinal NLP Study.

TL;DR: This study shows that online media have a prompt response to the pandemic with a large number of COVID-19–related articles and indicates that the most influential entities have lower overlaps for the identified people and higher overlapping for locations and institutions.
Journal ArticleDOI

Digital Resilience in Dealing with Misinformation on Social Media during COVID-19

TL;DR: In this paper , a web application based on Social Network Analysis (SNA) is proposed to provide an overview of potentially misleading vs. non-misleading content on Twitter, which can be explored by users and enable foundational learning.
References
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Journal ArticleDOI

Framing: Toward Clarification of a Fractured Paradigm

TL;DR: Reaching this goal would require a more self-con- scious determination by communication scholars to plumb other fields and feed back their studies to outside researchers, and enhance the theoretical rigor of communication scholarship proper.
Journal ArticleDOI

Perception of risk.

Paul Slovic
- 17 Apr 1987 - 
TL;DR: This research aims to aid risk analysis and policy-making by providing a basis for understanding and anticipating public responses to hazards and improving the communication of risk information among lay people, technical experts, and decision-makers.
Journal ArticleDOI

The Social Amplification of Risk: A Conceptual Framework

TL;DR: In this article, the authors propose a conceptual framework that links the technical assessment of risk with psychological, sociological, and cultural perspectives of risk perception and risk-related behavior to amplify or attenuate public responses to the risk or risk event.
Journal ArticleDOI

Misinformation and Its Correction: Continued Influence and Successful Debiasing

TL;DR: Recommendations may help practitioners—including journalists, health professionals, educators, and science communicators—design effective misinformation retractions, educational tools, and public-information campaigns.
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