scholarly journals A topic analysis of traditional and social media news coverage of the early COVID-19 pandemic and implications for public health communication

Author(s):  
Wallace Chipidza ◽  
Elmira Akbaripourdibazar ◽  
Tendai Gwanzura ◽  
Nicole M. Gatto

ABSTRACT Objective: To characterize and compare early coverage of COVID-19 in newspapers, television, and social media, and discuss implications for public health communication strategies that are relevant to an initial pandemic response. Methods: Latent Dirichlet Allocation (LDA), an unsupervised topic modelling technique, analysis of 3,271 newspaper articles, 40 cable news shows transcripts, 96,000 Twitter posts, and 1,000 Reddit posts during March 4 - 12, 2020, a period chronologically early in the timeframe of the COVID-19 pandemic. Results: Coverage of COVID-19 clustered on topics such as epidemic, politics, and the economy, and these varied across media sources. Topics dominating news were not predominantly health-related, suggesting a limited presence of public health in news coverage in traditional and social media. Examples of misinformation were identified particularly in social media. Conclusions: Public health entities should utilize communication specialists to create engaging informational content to be shared on social media sites. Public health officials should be attuned to their target audience to anticipate and prevent spread of common myths likely to exist within a population. This may help control misinformation in early stages of pandemics.

Author(s):  
Wallace Chipidza ◽  
Elmira Akbaripourdibazar ◽  
Tendai Gwanzura ◽  
Nicole M. Gatto

AbstractKnowledge gaps may initially exist among scientists, medical and public health professionals during pandemics, which are fertile grounds for misinformation in news media. We characterized and compared COVID-19 coverage in newspapers, television, and social media, and discussed implications for public health communication strategies that are relevant to an initial pandemic response. We conducted a Latent Dirichlet Allocation (LDA), an unsupervised topic modelling technique, analysis of 3,271 newspaper articles, 40 cable news shows transcripts, 96,000 Twitter posts, and 1,000 Reddit posts during March 4 - 12, 2020, a period chronologically early in the timeframe of the COVID-19 pandemic. Coverage of COVID-19 clustered on topics such as epidemic, politics, and the economy, and these varied across media sources. Topics dominating news were not predominantly health-related, suggesting a limited presence of public health in news coverage in traditional and social media. Examples of misinformation were identified particularly in social media. Public health entities should utilize communication specialists to create engaging informational content to be shared on social media sites. Public health officials should be attuned to their target audience to anticipate and prevent spread of common myths likely to exist within a population. This will help control misinformation in early stages of pandemics.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Shiromani Gupta ◽  
Satya Bhusan Dash ◽  
Rachna Mahajan

PurposeThe purpose of the study is to explore the suitability of social media influencers (SMIs) for communicating public health messages via social media platforms. The study identifies key persuasive communication components that influence individuals' attitudes and, subsequently, intentions to follow health-related information shared by SMIs.Design/methodology/approachQualitative interviews with healthcare workers and interactions with 332 active social media users via structured online questionnaires were used for data collection. Structural equation modelling was used to analyse responses.FindingsResults indicate that SMIs' credibility, SMI–individual homophily and quality of information shared by the SMI are the significant factors determining individuals' attitudes towards the information received. Furthermore, the individual's attitude significantly impacts their intention to follow information shared by the SMI. The study thus verifies the mediating role of attitude in persuasive communication.Research limitations/implicationsThe current study can serve as a foundation for future work to examine the suitability of SMIs for tasks other than marketing.Practical implicationsThe study provides insights for planning and implementing SMI-sourced communication in the public health context. The study enhances the understanding of the tested relationships and thereby increases scholars' and practitioners' ability to leverage SMIs for health-related communication.Originality/valueWhilst SMIs are attracting increasing attention in consumer markets, the study suggests that they can be used in public health communication. Considering the coronavirus disease (COVID-19) situation, the empirical study provides insights into SMIs' role in persuasive public health communication amid a health crisis.Peer reviewThe peer review history for the article is available at: https://publons.com/publon/10.1108/OIR-01-2021-0012


2020 ◽  
Vol 8 (2) ◽  
pp. 458-461 ◽  
Author(s):  
Alessandro Lovari

The commentary focuses on the spread of Covid-19 misinformation in Italy, highlighting the dynamics that have impacted on its pandemic communication. Italy has recently been affected by a progressive erosion of trust in public institutions and a general state of information crisis regarding matters of health and science. In this context, the politicization of health issues and a growing use of social media to confront the Coronavirus “infodemic” have led the Italian Ministry of Health to play a strategic role in using its official Facebook page to mitigate the spread of misinformation and to offer updates to online publics. Despite this prompt intervention, which increased the visibility and reliability of public health communication, coordinated efforts involving different institutions, media and digital platform companies still seem necessary to reduce the impact of misinformation, as using a multichannel strategy helps avoid increasing social and technological disparities at a time of crisis.


2021 ◽  
Author(s):  
B. Hughes ◽  
C. Miller-Idriss ◽  
R. Piltch-Loeb ◽  
K. White ◽  
M. Creizis ◽  
...  

AbstractVaccine hesitancy (delay in obtaining a vaccine, despite availability) represents a significant hurdle to managing the COVID-19 pandemic. Vaccine hesitancy is in part related to the prevalence of anti-vaccine misinformation and disinformation, which are spread through social media and user-generated content platforms. This study uses qualitative coding methodology to identify salient narratives and rhetorical styles common to anti-vaccine and COVID-denialist media. It organizes these narratives and rhetorics according to theme, imagined antagonist, and frequency. Most frequent were narratives centered on “corrupt elites” and rhetorics appealing to the vulnerability of children. The identification of these narratives and rhetorics may assist in developing effective public health messaging campaigns, since narrative and emotion have demonstrated persuasive effectiveness in other public health communication settings.


2020 ◽  
Author(s):  
Lisa Teichmann ◽  
Sean Nossek ◽  
Aengus Bridgman ◽  
Peter John Loewen ◽  
Taylor Owen ◽  
...  

Social media provides governments the opportunity to directly communicate with their constituents. During a pandemic, reaching as many citizens as possible with health messaging is critical to reducing the spread of the disease. This study evaluates efforts to spread healthcare information by Canadian local, provincial, and federal governments during the first five months of the COVID-19 pandemic. We collect all health-related communications coming from government accounts on Facebook and Twitter and analyze the data using a nested mixed method approach. We first identify quantifiable features linked with citizen engagement, before subsequently performing content analysis on outlier posts. We make two critical contributions to existing knowledge about government communication, particularly during public health crises. We identify cross-platform variations in strategy effectiveness and draw attention to specific, evidence-based practices that can increase engagement with government health information.


2020 ◽  
Author(s):  
Lisa Teichmann ◽  
Aengus Bridgman ◽  
Sean Nossek ◽  
Peter John Loewen ◽  
Taylor Owen ◽  
...  

BACKGROUND Social media provides governments the opportunity to directly communicate with their constituents. During a pandemic, reaching as many citizens as possible with health messaging is critical to reducing the spread of the disease. This study evaluates efforts to spread healthcare information by Canadian local, provincial, and federal governments during the first five months of the COVID-19 pandemic. OBJECTIVE This study explores engagement patterns with government COVID-19 information shared on social media. It quantitatively evaluates platform-specific dynamics, including meta-data of posts such as account type, number of followers, type of content included, and time of post. It then performs exploratory, theory-building content analysis on outlier communications to identify previously under-examined features that contribute to engagement. METHODS We collect all health-related communications coming from government accounts on Facebook and Twitter and analyze the data using a nested mixed method approach. We first identify quantifiable features linked with citizen engagement. Then, we perform content analysis on those posts with the highest and highest negative residuals to identify content-specific engagement patterns. RESULTS We find considerable within and cross-platform heterogeneity in the relationship between embedded media type and engagement with public health information on social media. On Twitter, public health tweets containing videos receive 121 percent more engagements than those which are text-only, at P<.001. Images receive 35 percent more at P<.001. On Facebook text statuses dominate, with links receiving 39 percent fewer engagements, at P<.001, and videos a 26 percent decrease, also at P<.001. Even more, we find that who posts is more important than what is posted. Controlling for different audience sizes, tweets from the Prime Minister generate 727 percent more engagements than city governments', at P<.001. On Facebook this increases to 5640 percent, still at P<.001. The discrepancy between local and national accounts is larger on Facebook, where mayors, city governments, and local health authorities receive the least engagement. On both platforms premiers and provincial health authorities receive the second and third highest levels of engagement, highlighting the importance of sub-national officials in public health communication. All of these estimates are statistically significant at P<.001. In our qualitative analysis, we find a consistent relationship between content and over- or under performance, relative to our predicted levels of engagement. Concise messages with direct appeals are overrepresented among posts with large positive residuals, as are those which include high quality media, or which leverage pop-culture references or influencers. On the other hand, low quality video and infographics, lengthy policy descriptions, and negative news routinely generate fewer engagements than predicted. CONCLUSIONS We make two critical contributions to existing knowledge about government communication, particularly during public health crises. We identify and theorize cross-platform variations in strategy effectiveness and draw attention to specific, evidence-based practices that can increase engagement with government health information.


Author(s):  
Brian Hughes ◽  
Cynthia Miller-Idriss ◽  
Rachael Piltch-Loeb ◽  
Beth Goldberg ◽  
Kesa White ◽  
...  

Vaccine hesitancy (delay in obtaining a vaccine, despite availability) represents a significant hurdle to managing the COVID-19 pandemic. Vaccine hesitancy is in part related to the prevalence of anti-vaccine misinformation and disinformation, which are spread through social media and user-generated content platforms. This study uses qualitative coding methodology to identify salient narratives and rhetorical styles common to anti-vaccine and COVID-denialist media. It organizes these narratives and rhetorics according to theme, imagined antagonist, and frequency. Most frequent were narratives centered on “corrupt elites” and rhetorics appealing to the vulnerability of children. The identification of these narratives and rhetorics may assist in developing effective public health messaging campaigns, since narrative and emotion have demonstrated persuasive effectiveness in other public health communication settings.


2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Meagan Marie Daoust

The healthcare trend of parental refusal or delay of childhood vaccinations will be investigated through a complex Cynefin Framework component in an economic and educational context, allowing patterns to emerge that suggest recommendations of change for the RN role and healthcare system. As a major contributing factor adding complexity to this trend, social media is heavily used for health related knowledge, making it is difficult to determine which information is most trustworthy. Missed opportunities for immunization can result, leading to economic and health consequences for the healthcare system and population. Through analysis of the powerful impact social media has on this evolving trend and public health, an upstream recommendation for RNs to respond with is to utilize reliable social media to the parents’ advantage within practice. The healthcare system should focus on incorporating vaccine-related education into existing programs and classes offered to parents, and implementing new vaccine classes for the public.


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