scholarly journals Examining Risk Communication of Samsung by Analysing Customer Reaction on Social Media : From Galaxy Note 7 Explosion to Galaxy S8 Relase

2018 ◽  
Author(s):  
Jaewon Lim ◽  
Jang Hyun Kim
Keyword(s):  
Social Media ◽  
Risk Communication ◽  
Customer Reaction

scholarly journals Understanding coronavirus disease (COVID-19) risk perceptions among the public to enhance risk communication efforts: a practical approach for outbreaks, Finland, February 2020

2020 ◽  
Vol 25 (13) ◽  
Author(s):  
Anna-Leena Lohiniva ◽  
Jussi Sane ◽  
Katja Sibenberg ◽  
Taneli Puumalainen ◽  
Mika Salminen
Keyword(s):  
Social Media ◽  
Risk Perception ◽  
Risk Communication ◽  
Thematic Analysis ◽  
Risk Perceptions ◽  
Qualitative Data ◽  
Practical Approach ◽  
The Public ◽  
Media Messages ◽  
Risk Magnitude

Understanding risk perceptions of the public is critical for risk communication. In February 2020, the Finnish Institute for Health and Welfare started collecting weekly qualitative data on coronavirus disease (COVID-19) risk perception that informs risk communication efforts. The process is based on thematic analysis of emails and social media messages from the public and identifies factors linked to appraisal of risk magnitude, which are developed into risk communication recommendations together with health and communication experts.

scholarly journals Explaining the Factors Influencing the Individuals’ Continuance Intention to Seek Information on Weibo during Rainstorm Disasters

2020 ◽  
Vol 17 (17) ◽  
pp. 6072
Author(s):  
Sheng Cheng ◽  
Liqun Liu ◽  
Ke Li
Keyword(s):  
Social Media ◽  
Risk Communication ◽  
Information Seeking ◽  
Structural Equation ◽  
Equation Modeling ◽  
Continuance Intention ◽  
Factors Affecting ◽  
Perceptions Of Risk ◽  
Communication Needs ◽  
Facilitating Conditions

Being an interactive process, the success of risk communication needs to ensure the individuals’ right to know and influence their attitudes and perceptions of risk. Ubiquitous social media have expanded risk communication channels and innovated ways of risk communication. At the same time, uncertainty also arises with the diversity and variety of social media. Taking the rainstorm disaster in China as an example, this study focuses on factors affecting the individuals’ continuance intention of information seeking on Weibo (a social media platform similar to Twitter). Based on 377 valid respondents, this study applied an extended expectation–confirmation model (ECM), from which the results of partial least squares structural equation modeling (PLS-SEM) suggested that continuance intention is positively influenced by factors including effort expectancy, social influence, facilitating conditions, and satisfaction. Among them, satisfaction contributes the most, which helps maintain a balance between performance expectancy and continuance intention. Taking the individuals’ continuance intention to seek information on Weibo as the clue, this research provides government agencies with practical advice on how to use social media for more efficient risk communication during disasters and establish emergency preplans to respond to natural disasters.

scholarly journals Toward dialogue through a holistic measuring framework – the impact of social media on risk communication in the COVID-19

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ruilin Zhu ◽  
Yanqing Song ◽  
Shuang He ◽  
Xuan Hu ◽  
Wangsu Hu ◽  
...  
Keyword(s):  
Social Media ◽  
Risk Communication ◽  
Communication Process ◽  
Content Type ◽  
Dialogic Relationships ◽  
Full Picture ◽  
Power Measurements ◽  
The Impact ◽  
Dialogic Theory ◽  
The Relationship

PurposeDespite the huge potential of social media, its functionality and impact for enhanced risk communication remain unclear. Drawing on dialogic theory by integrating both “speak from power” and “speak to power” measurements, the article aims to propose a systematic framework to address this issue.Design/methodology/approachThe impact of social media on risk communication is measured by the correlation between “speak from power” and “speak to power” levels, where the former primarily spoke to two facets of the risk communication process – rapidness and attentiveness, and the latter was benchmarked against popularity and commitment. The framework was empirically validated with data relating to coronavirus disease (COVID-19) risk communication in 25,024 selected posts on 17 official provincial Weibo accounts in China.FindingsThe analysis results suggest the relationship between the “speak from power” and “speak to power” is mixed rather than causality, which confirms that neither the outcome-centric nor the process-centric method alone can render a full picture of government–public interconnectivity. Besides, the proposed interconnectivity matrix reveals that two provinces have evidenced the formation of government–public mutuality, which provides empirical evidence that dialogic relationships could exist in social media during risk communication.Originality/valueThe authors' study proposed a prototype framework that underlines the need that the impact of social media on risk communication should and must be assessed through a combination of process and outcome or interconnectivity. The authors further divide the impact of social media on risk communication into dialogue enabler, “speak from power” booster, “speak to power” channel and mass media alternative.

scholarly journals Real-Time Communication: Creating a Path to COVID-19 Public Health Activism in Adolescents Using Social Media

10.2196/21886 ◽  
2020 ◽  
Vol 22 (12) ◽  
pp. e21886
Author(s):  
Kunmi Sobowale ◽  
Heather Hilliard ◽  
Martha J Ignaszewski ◽  
Linda Chokroverty
Keyword(s):  
Public Health ◽  
Social Media ◽  
Risk Communication ◽  
Social Interactions ◽  
Adolescent Development ◽  
Communication Strategies ◽  
Health Organizations ◽  
Health Activism ◽  
Public Health Organizations ◽  
Use Of Social Media

The COVID-19 pandemic and related public health efforts limiting in-person social interactions present unique challenges to adolescents. Social media, which is widely used by adolescents, presents an opportunity to counteract these challenges and promote adolescent health and public health activism. However, public health organizations and officials underuse social media to communicate with adolescents. Using well-established risk communication strategies and insights from adolescent development and human-computer interaction literature, we identify current efforts and gaps, and propose recommendations to advance the use of social media risk communication for adolescents during the COVID-19 pandemic and future disasters.

scholarly journals Risk Communication in Asian Countries: COVID-19 Discourse on Twitter (Preprint)

2020 ◽  
Author(s):  
Sungkyu Park ◽  
Sungwon Han ◽  
Jeongwook Kim ◽  
Mir Majid Molaie ◽  
Hoang Dieu Vu ◽  
...  
Keyword(s):  
Social Media ◽  
Natural Language Processing ◽  
Natural Language ◽  
Risk Communication ◽  
Language Processing ◽  
World Health ◽  
The Novel ◽  
Asian Countries ◽  
Public Attention ◽  
Novel Coronavirus

BACKGROUND The novel coronavirus disease (hereafter COVID-19) caused by severe acute respiratory coronavirus 2 (SARS-CoV-2) has caused a global pandemic. During this time, a plethora of information regarding COVID-19 containing both false information (misinformation) and accurate information circulated on social media. The World Health Organization has declared a need to fight not only the pandemic but also the infodemic (a portmanteau of information and pandemic). In this context, it is critical to analyze the quality and veracity of information shared on social media and the evolution of discussions on major topics regarding COVID-19. OBJECTIVE This research characterizes risk communication patterns by analyzing public discourse on the novel coronavirus in four Asian countries that suffered outbreaks of varying degrees of severity: South Korea, Iran, Vietnam, and India. METHODS We collect tweets on COVID-19 posted from the four Asian countries from the start of their respective COVID-19 outbreaks in January until March 2020. We consult with locals and utilize relevant keywords from the local languages, following each country's tweet conventions. We then utilize a natural language processing (NLP) method to learn topics in an unsupervised fashion automatically. Finally, we qualitatively label the extracted topics to comprehend their semantic meanings. RESULTS We find that the official phases of the epidemic, as announced by the governments of the studied countries, do not align well with the online attention paid to COVID-19. Motivated by this misalignment, we develop a new natural language processing method to identify the transitions in topic phases and compare the identified topics across the four Asian countries. We examine the time lag between social media attention and confirmed patient counts. We confirm an inverse relationship between the tweet count and topic diversity. CONCLUSIONS Through the current research, we observe similarities and differences in the social media discourse on the pandemic in different Asian countries. We observe that once the daily tweet count hits its peak, the successive tweet count trend tends to decrease for all countries. This phenomenon aligns with the dynamics of the issue-attention cycle, an existing construct from communication theory conceptualizing how an issue rises and falls from public attention. Little work has been performed to identify topics in online risk communication by collectively considering temporal tweet trends in different countries. In this regard, if a critical piece of misinformation can be detected at an early stage in one country, it can be reported to prevent the spread of misinformation in other countries. Therefore, this work can help social media services, social media communicators, journalists, policymakers, and medical professionals fight the infodemic on a global scale. CLINICALTRIAL N/A

scholarly journals Covid-19 on Twitter: an analysis of risk communication with visuals

2021 ◽  
Author(s):  
Joanna Sleigh ◽  
Julia Amann ◽  
Manuel Schneider ◽  
Effy Vayena
Keyword(s):  
Social Media ◽  
Risk Communication ◽  
Qualitative Content Analysis ◽  
Future Research ◽  
Health Crisis ◽  
Media Companies ◽  
Preventative Measures ◽  
Health Gains ◽  
Risk Framing ◽  
Loss Framing

Abstract Background: In a pandemic, when timely and clear communication is important, visuals on social media can help citizens quickly find and understand health risk information. In recognition of visuality and social media’s value during a crisis, we investigated popular Covid-19 risk communication with visuals posted on the platform Twitter. Looking at tweet authors, their use of graphics, the preventative messages, and risk framing, our objective was to determine how visual communication on Twitter promoted WHO Covid-19 health recommendations.Methods: We sourced Twitter’s 500 most retweeted Covid-19 messages for each month from January - October 2020 using Crowdbreaks. Included tweets had to have visuals, be in English, come from verified accounts, and contain at least one of the keywords ‘covid19', 'coronavirus', 'corona', or 'covid’. Following a retrospective approach, we then performed a qualitative content analysis of the tweets’ text and visuals. Results: Most of the tweets analysed came from influencers - individuals with many followers (51%), followed by media companies (30%), and health and government institutions (15%). At the start of the pandemic, the latter two were most prevalent. Analysis of visual formats showed that photographs were most common, and the majority of tweets combined them with other graphic types (55%). 68% of tweets had text in their visual, 42% of all visuals were animated, and 26% included a URL. ‘Stay home’ and ‘wear a mask’ were the most frequently communicated Covid-19 preventative measures. 70% of tweets used risk framing (emphasising health gains or loss), and 32% had tones of critique.Conclusion: This study found that the most retweeted Covid-19 preventative measures with visuals mostly came from individuals, showing that health and government organisations were not alone in promoting preventative measures on Twitter. This stresses the important role individuals play in the dissemination of information using social media during a health crisis. The finding that more tweets used health loss framing, often combined with the emotive medium of photographs, raises concerns about persuasive tactics feeding on fear. Future research is needed to better understand this approach's consequences and its impact on public perceptions and behaviours.

scholarly journals Psychological Impact of Health Risk Communication and Social Media on College Students During the COVID-19 Pandemic: Cross-Sectional Study (Preprint)

2020 ◽  
Author(s):  
Mengyao Li ◽  
Li Liu ◽  
Yilong Yang ◽  
Yang Wang ◽  
Xiaoshi Yang ◽  
...  
Keyword(s):  
Risk Factors ◽  
College Students ◽  
Social Media ◽  
Health Risk ◽  
Risk Communication ◽  
Psychological Health ◽  
Protective Factor ◽  
Psychological Symptoms ◽  
Health Anxiety ◽  
Web Based

BACKGROUND The outbreak of COVID-19 began in 2019 and is expected to impact the psychological health of college students. Few studies have investigated the associations among health risk communication, social media, and psychological symptoms during a major pandemic. OBJECTIVE The aim of this research was to assess the prevalence of psychological symptoms among college students and explore their associations with health risk communication and social media. METHODS A web-based survey was distributed through the Wenjuanxing platform among Chinese college students from March 3-15, 2020. In addition to demographics, information on health risk communication and social media was collected, and the Symptom Checklist 90 Phobia and Health Anxiety Inventory subscale was used to assess psychological symptoms among 1676 college students in China. Multivariable logistic regression was performed to examine these independent risk factors. RESULTS The prevalence of panic and health anxiety was 17.2% (288/1676) and 24.3% (408/1676), respectively. Regarding risk communication, understanding the risk of COVID-19 (odds ratio [OR] 0.480, 95% CI 0.367-0.627) was a protective factor against panic. Knowledge of prognosis (OR 0.708, 95% CI 0.551-0.910), preventive measures (OR 0.380, 95% CI 0.195-0.742), and wearing face masks (OR 0.445, 95% CI 0.230-0.862) were shown to be protective factors in predicting health anxiety. Perceived lethality (OR 1.860, 95% CI 1.408-2.459), being affected by the global spread (OR 1.936, 95% CI 1.405-2.669), and impact on social contacts (OR 1.420, 95% CI 1.118-1.802) were identified as significant risk factors associated with health anxiety. In terms of social media, trust in mainstream media (OR 0.613, 95% CI 0.461-0.816) was considered to be a protective factor against health anxiety. CONCLUSIONS There was a high prevalence of psychological symptoms among college students. Health risk communication and social media use were important in predicting psychological symptoms, especially health anxiety. Scientific and evidence-based information should be reported by social media platforms. Web-based consultation and intervention measures should be the focus of future studies.

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