scholarly journals Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea

10.2196/18897 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e18897 ◽  
Author(s):  
Han Woo Park ◽  
Sejung Park ◽  
Miyoung Chong
Keyword(s):  
Public Health ◽  
Social Media ◽  
Content Analysis ◽  
Network Analysis ◽  
South Korea ◽  
Medical Information ◽  
Systematic Research ◽  
News Frames ◽  
Starting Point ◽  
Significant Difference

Background SARS-CoV-2 (severe acute respiratory coronavirus 2) was spreading rapidly in South Korea at the end of February 2020 following its initial outbreak in China, making Korea the new center of global attention. The role of social media amid the current coronavirus disease (COVID-19) pandemic has often been criticized, but little systematic research has been conducted on this issue. Social media functions as a convenient source of information in pandemic situations. Objective Few infodemiology studies have applied network analysis in conjunction with content analysis. This study investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak. Methods Korean COVID-19-related Twitter data were collected on February 29, 2020. Our final sample comprised of 43,832 users and 78,233 relationships on Twitter. We generated four networks in terms of key issues regarding COVID-19 in Korea. This study comparatively investigates how COVID-19-related issues have circulated on Twitter through network analysis. Next, we classified top news channels shared via tweets. Lastly, we conducted a content analysis of news frames used in the top-shared sources. Results The network analysis suggests that the spread of information was faster in the Coronavirus network than in the other networks (Corona19, Shincheon, and Daegu). People who used the word “Coronavirus” communicated more frequently with each other. The spread of information was faster, and the diameter value was lower than for those who used other terms. Many of the news items highlighted the positive roles being played by individuals and groups, directing readers’ attention to the crisis. Ethical issues such as deviant behavior among the population and an entertainment frame highlighting celebrity donations also emerged often. There was a significant difference in the use of nonportal (n=14) and portal news (n=26) sites between the four network types. The news frames used in the top sources were similar across the networks (P=.89, 95% CI 0.004-0.006). Tweets containing medically framed news articles (mean 7.571, SD 1.988) were found to be more popular than tweets that included news articles adopting nonmedical frames (mean 5.060, SD 2.904; N=40, P=.03, 95% CI 0.169-4.852). Conclusions Most of the popular news on Twitter had nonmedical frames. Nevertheless, the spillover effect of the news articles that delivered medical information about COVID-19 was greater than that of news with nonmedical frames. Social media network analytics cannot replace the work of public health officials; however, monitoring public conversations and media news that propagates rapidly can assist public health professionals in their complex and fast-paced decision-making processes.

scholarly journals Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea (Preprint)

2020 ◽  
Author(s):  
Han Woo Park ◽  
Sejung Park ◽  
Miyoung Chong
Keyword(s):  
Public Health ◽  
Social Media ◽  
Content Analysis ◽  
Network Analysis ◽  
South Korea ◽  
Medical Information ◽  
Systematic Research ◽  
News Frames ◽  
Starting Point ◽  
Significant Difference

BACKGROUND SARS-CoV-2 (severe acute respiratory coronavirus 2) was spreading rapidly in South Korea at the end of February 2020 following its initial outbreak in China, making Korea the new center of global attention. The role of social media amid the current coronavirus disease (COVID-19) pandemic has often been criticized, but little systematic research has been conducted on this issue. Social media functions as a convenient source of information in pandemic situations. OBJECTIVE Few infodemiology studies have applied network analysis in conjunction with content analysis. This study investigates information transmission networks and news-sharing behaviors regarding COVID-19 on Twitter in Korea. The real time aggregation of social media data can serve as a starting point for designing strategic messages for health campaigns and establishing an effective communication system during this outbreak. METHODS Korean COVID-19-related Twitter data were collected on February 29, 2020. Our final sample comprised of 43,832 users and 78,233 relationships on Twitter. We generated four networks in terms of key issues regarding COVID-19 in Korea. This study comparatively investigates how COVID-19-related issues have circulated on Twitter through network analysis. Next, we classified top news channels shared via tweets. Lastly, we conducted a content analysis of news frames used in the top-shared sources. RESULTS The network analysis suggests that the spread of information was faster in the Coronavirus network than in the other networks (Corona19, Shincheon, and Daegu). People who used the word “Coronavirus” communicated more frequently with each other. The spread of information was faster, and the diameter value was lower than for those who used other terms. Many of the news items highlighted the positive roles being played by individuals and groups, directing readers’ attention to the crisis. Ethical issues such as deviant behavior among the population and an entertainment frame highlighting celebrity donations also emerged often. There was a significant difference in the use of nonportal (n=14) and portal news (n=26) sites between the four network types. The news frames used in the top sources were similar across the networks (<i>P</i>=.89, 95% CI 0.004-0.006). Tweets containing medically framed news articles (mean 7.571, SD 1.988) were found to be more popular than tweets that included news articles adopting nonmedical frames (mean 5.060, SD 2.904; N=40, <i>P</i>=.03, 95% CI 0.169-4.852). CONCLUSIONS Most of the popular news on Twitter had nonmedical frames. Nevertheless, the spillover effect of the news articles that delivered medical information about COVID-19 was greater than that of news with nonmedical frames. Social media network analytics cannot replace the work of public health officials; however, monitoring public conversations and media news that propagates rapidly can assist public health professionals in their complex and fast-paced decision-making processes.

scholarly journals A comparison of health communication effectiveness and the improvement of management strategies: taking two Chinese traditional medicine hospitals’ WeChat public accounts as examples

2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Jie Wang ◽  
Lanting Wu
Keyword(s):  
Public Health ◽  
Social Media ◽  
Health Communication ◽  
Traditional Medicine ◽  
Health Knowledge ◽  
Health Care Service ◽  
Mobile Internet ◽  
Chinese Traditional Medicine ◽  
Public Account ◽  
Significant Difference

Abstract Background In the light of “Internet plus”, hospitals are following the trend of using mobile internet and adopting a strategy of spreading public health knowledge through mobile terminals. WeChat is a social media with the largest number of users in China. Its public account has become the most popular service among the public. Methods We examine the health communication of medical institutions on social media platforms. The WeChat public accounts of Zhejiang Provincial Chinese Traditional Medicine Hospital and Jiangxi Provincial Chinese Traditional Medicine Hospital were taken as cases to measure the communication effect from the following dimensions: update interval, content positioning and design, numbers of clicks and likes as well as topic types. Results The update interval of WeChat public account of Jiangxi Provincial Hospital of Traditional Chinese Medicine was regular, compared with that of the other hospital. The accounts of the two hospitals both set up special sections to facilitate patients to obtain medical services online. There is an extremely significant difference between the two hospitals’ mean numbers of clicks (p < 0. 001), compared with no significant difference between their mean numbers of likes. One-way analysis of variance suggests the type of topic on posts is significantly correlated with the number of clicks. Moreover, there is an extremely significant difference between public health knowledge and news propaganda. Conclusion The development of hospitals’ WeChat public accounts can promote people’s health and equity in accessing medical information and service, and also boost “Internet plus health care” service. The topic type of hospital’s news publicity is paid a relatively lower attention by users. Therefore, hospitals’ WeChat public accounts need to adjust their strategy from propaganda-oriented to users-centered, with topic planning and posts designed to fulfill users’ needs.

A shift from science to politics : a content analysis of COVID-19 Videos on YouTube (Preprint)

2021 ◽  
Author(s):  
Chyun-Fung Shi ◽  
Matthew C So ◽  
Sophie Stelmach ◽  
Arielle Earn ◽  
David J D Earn ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Content Analysis ◽  
Large Scale ◽  
Control Measures ◽  
Mitigation Measures ◽  
Health Campaigns ◽  
Public Attention ◽  
Conflicting Information ◽  
Social Media Platforms

BACKGROUND The COVID-19 pandemic is the first pandemic where social media platforms relayed information on a large scale, enabling an “infodemic” of conflicting information which undermined the global response to the pandemic. Understanding how the information circulated and evolved on social media platforms is essential for planning future public health campaigns. OBJECTIVE This study investigated what types of themes about COVID-19 were most viewed on YouTube during the first 8 months of the pandemic, and how COVID-19 themes progressed over this period. METHODS We analyzed top-viewed YouTube COVID-19 related videos in English from from December 1, 2019 to August 16, 2020 with an open inductive content analysis. We coded 536 videos associated with 1.1 billion views across the study period. East Asian countries were the first to report the virus, while most of the top-viewed videos in English were from the US. Videos from straight news outlets dominated the top-viewed videos throughout the outbreak, and public health authorities contributed the fewest. Although straight news was the dominant COVID-19 video source with various types of themes, its viewership per video was similar to that for entertainment news and YouTubers after March. RESULTS We found, first, that collective public attention to the COVID-19 pandemic on YouTube peaked around March 2020, before the outbreak peaked, and flattened afterwards despite a spike in worldwide cases. Second, more videos focused on prevention early on, but videos with political themes increased through time. Third, regarding prevention and control measures, masking received much less attention than lockdown and social distancing in the study period. CONCLUSIONS Our study suggests that a transition of focus from science to politics on social media intensified the COVID-19 infodemic and may have weakened mitigation measures during the first waves of the COVID-19 pandemic. It is recommended that authorities should consider co-operating with reputable social media influencers to promote health campaigns and improve health literacy. In addition, given high levels of globalization of social platforms and polarization of users, tailoring communication towards different digital communities is likely to be essential.

scholarly journals Infodemia and COVID-19: a text mining analysis

2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
W De Caro
Keyword(s):  
Public Health ◽  
Social Media ◽  
Content Analysis ◽  
Text Mining ◽  
Real Time ◽  
Public Perception ◽  
Health Authorities ◽  
Health Agencies ◽  
Use Of Social Media ◽  
Twitter Activity

Abstract Introduction Covid-19 epidemic lead a huge use of social media to comment and spread information from the widest sources. Infodemia looks at excessive amount of information circulating, which makes it difficult to orientate communities on a given topic due to the difficulty of identifying reliable sources. Using text mining analysis it is possible to identify what drives public conversation and impact of Covid-19. Methods Public perceptions in emergencies is traditionally measured with surveys. However, to have a global sight of the pandemia, Twitter represents a powerful tool which gives real-time monitoring of public perception. The study aimed to: 1) monitor the use of the terms “Covid-19” or “Coronarivus” over time; and 2) to conduct a specific text and sentiment analysis. Results Between January 10 and May 8, 2020, over 600 million tweets were retrieved. Of those 600.000 tweets were randomly selected, coded, and analyzed. About 10% of cases were identified as misinformation. Public figures, experts in public health, and virologists represent the most popular sources in comparison to the official government and health agencies. There is a positive correlation between Twitter activity peaks and COVID-19 infection peaks. Text mining analysis was carried out, as well as a content analysis, also in order to identify changing emotions and sentiments during time. This analysis, particularly during the lockdown, clearly shows that participation on social media can potentially have an effect on building social capital and social support. Conclusions This study confirms that using social media to conduct infodemic studies is an important area of development in public health arena. COVID-19 tweets were primarily used to disseminate information from credible sources, but were also a source of opinions, emotion and experiences. Tweets can be used for real-time content analysis and knowledge translation research, allowing health authorities to respond to public concerns. Key messages Social media is crucial for health information. Infodemia as new way for study health.

scholarly journals COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data

10.2196/19458 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e19458 ◽  
Author(s):  
Wasim Ahmed ◽  
Josep Vidal-Alaball ◽  
Joseph Downing ◽  
Francesc López Seguí
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
United Kingdom ◽  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Conspiracy Theory ◽  
Fake News ◽  
The United Kingdom ◽  
Twitter Data

Background Since the beginning of December 2019, the coronavirus disease (COVID-19) has spread rapidly around the world, which has led to increased discussions across online platforms. These conversations have also included various conspiracies shared by social media users. Amongst them, a popular theory has linked 5G to the spread of COVID-19, leading to misinformation and the burning of 5G towers in the United Kingdom. The understanding of the drivers of fake news and quick policies oriented to isolate and rebate misinformation are keys to combating it. Objective The aim of this study is to develop an understanding of the drivers of the 5G COVID-19 conspiracy theory and strategies to deal with such misinformation. Methods This paper performs a social network analysis and content analysis of Twitter data from a 7-day period (Friday, March 27, 2020, to Saturday, April 4, 2020) in which the #5GCoronavirus hashtag was trending on Twitter in the United Kingdom. Influential users were analyzed through social network graph clusters. The size of the nodes were ranked by their betweenness centrality score, and the graph’s vertices were grouped by cluster using the Clauset-Newman-Moore algorithm. The topics and web sources used were also examined. Results Social network analysis identified that the two largest network structures consisted of an isolates group and a broadcast group. The analysis also revealed that there was a lack of an authority figure who was actively combating such misinformation. Content analysis revealed that, of 233 sample tweets, 34.8% (n=81) contained views that 5G and COVID-19 were linked, 32.2% (n=75) denounced the conspiracy theory, and 33.0% (n=77) were general tweets not expressing any personal views or opinions. Thus, 65.2% (n=152) of tweets derived from nonconspiracy theory supporters, which suggests that, although the topic attracted high volume, only a handful of users genuinely believed the conspiracy. This paper also shows that fake news websites were the most popular web source shared by users; although, YouTube videos were also shared. The study also identified an account whose sole aim was to spread the conspiracy theory on Twitter. Conclusions The combination of quick and targeted interventions oriented to delegitimize the sources of fake information is key to reducing their impact. Those users voicing their views against the conspiracy theory, link baiting, or sharing humorous tweets inadvertently raised the profile of the topic, suggesting that policymakers should insist in the efforts of isolating opinions that are based on fake news. Many social media platforms provide users with the ability to report inappropriate content, which should be used. This study is the first to analyze the 5G conspiracy theory in the context of COVID-19 on Twitter offering practical guidance to health authorities in how, in the context of a pandemic, rumors may be combated in the future.

scholarly journals Prevalence and Characteristics of Twitter Posts About Court-Ordered, Tobacco-Related Corrective Statements: Descriptive Content Analysis (Preprint)

2018 ◽  
Author(s):  
Dannielle E Kelley ◽  
Meredith Brown ◽  
Alice Murray ◽  
Kelly D Blake
Keyword(s):  
Public Health ◽  
Social Media ◽  
Content Analysis ◽  
Health Organizations ◽  
Descriptive Content ◽  
Additional Information ◽  
Philip Morris ◽  
The Social ◽  
Public Health Organizations ◽  
Initial Release

BACKGROUND Three major US tobacco companies were recently ordered to publish corrective statements intended to prevent and restrain further fraud about the health effects of smoking. The court-ordered statements began appearing in newspapers and on television (TV) in late 2017. OBJECTIVE The objective of this study was to examine the social media dissemination of the tobacco corrective statements during the first 6 months of the implementation of the statements. METHODS We conducted a descriptive content analysis of Twitter posts using an iterative search strategy through Crimson Hexagon and randomly selected 19.74% (456/2309) of original posts occurring between November 1, 2017, and March 27, 2018, for coding and analysis. We assessed post volume over time, source or author, valence, linked content, and reference to the industry (eg, big tobacco, tobacco industry, and Philip Morris) and media outlet (TV or newspaper). Retweeted content was coded for source/author and prevalence. RESULTS Most posts were published in November 2017, surrounding the initial release of the corrective statements. Content was generally neutral (58.7%, 268/456) or positive (33.3%, 152/456) in valence, included links to additional information about the statements (94.9%, 433/456), referred to the industry (87.7%, 400/456), and did not mention a specific media channel on which the statements were aired or published (15%). The majority of original posts were created by individual users (55.2%, 252/456), whereas the majority of retweeted posts were posted by public health organizations (51%). Differences by source are reported, for example, organization posts are more likely to include a link to additional information compared with individual users (<italic>P</italic>=.03). CONCLUSIONS Conversations about the court-ordered corrective statements are taking place on Twitter and are generally neutral or positive in nature. Public health organizations may be increasing the prevalence of these conversations through social media engagement.

Boys versus Girls: Gendered Presentations of Newborns via Instagram Photograph Uploads.

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Jason Brian Garcia
Keyword(s):  
Social Media ◽  
Content Analysis ◽  
Gender Stereotypes ◽  
Primary Source ◽  
Newborn Baby ◽  
Quantitative Content Analysis ◽  
Male And Female ◽  
Quantitative Content ◽  
Significant Difference

The present study examined the prevalence of gender stereotypes displayed in photograph uploads of newborns in the mobile social media application, Instagram. A quantitative content analysis was performed on a sample of 120 of the most recent photograph uploads with the hashtag streams “#newbornbabyboy” and “#newbornbabygirl”. 60 of these images consisting of each newborn females and males, collected between the 26th and 27th of March, 2014. Results showed that newborn baby boys were only portrayed in a gender-stereotypical manner where the most predominant clothing colour worn was blue. For girls, the results also revealed a gender-stereotypical pattern as pink was the most displayed clothing colour. There was no significant difference found between male and female newborns in how often they were accessorized. The primary source of the photograph uploads were most often the babies’ mothers.

COVID-19, Social Distancing, & Adolescent Mental Health on Twitter: An Online Content Analysis (Preprint)

2020 ◽  
Author(s):  
Reese Haley Hyzer ◽  
Joshua J Jerisha
Keyword(s):  
Mental Health ◽  
Social Media ◽  
Content Analysis ◽  
Adolescent Mental Health ◽  
Health Impact ◽  
National Sample ◽  
Health Condition ◽  
Online Content ◽  
Social Distancing ◽  
Significant Difference

BACKGROUND In the early days of the coronavirus disease 2019 (COVID-19) crisis, high engagement with pandemic-related social media was correlated with a 22.6% increase in anxiety and a 48.3% increase in depression. Before the start of the pandemic, young people were already at an elevated risk of anxiety and depression, with 20% of college students reporting at least one mental health condition. Currently, it is unclear what role COVID-19 messaging on social media has played in the adolescent mental health response to the pandemic. OBJECTIVE The purpose of this study was to explore co-occurrences between mentions of social distancing and mental health on Twitter, as well as linguistic elements of these posts. METHODS Our study was an online content analysis on Twitter. Tweets with hashtag #COVID19 were sampled from March 2020 and April 2020. Social media demographics were determined for both months. These Tweets were then evaluated for individual and co-occurrence mentions of social distancing and mental health. The presence of media (images, videos, or hyperlinks) was also recorded. The Linguistic Inquiry and Word Count (LIWC) program we used measured the prevalence of language under the categories of anxiety, anger, sadness, and risk, as well as the usage of 1st person singular pronouns and 1st person plural pronouns. Additionally, overall emotional tone was determined for both datasets. Descriptive statistics were used to analyze social media demographics and post content. LIWC scores between March and April were compared with independent t-tests. RESULTS A national sample of 100 Tweets with hashtag #COVID19 were collected. 50 Tweets were sampled from March 2020 and April 2020 respectively. Among March Tweets, 44% (n = 22) referenced social distancing, 48% (n = 24) referenced mental health, and 22% (n = 11) referenced both. Among April Tweets, 54% (n = 27) referenced social distancing, 22% (n = 11) referenced mental health, and 12% (n = 6) referenced both. The mean LIWC scores between March and April decreased 1.46 points for singular pronouns (p = 0.0271). There was no significant difference between March and April Tweets in the LIWC scores for anxiety, anger, sadness, risk, and plural pronouns. CONCLUSIONS Between March and April, we found that references to social distancing became more frequent, while references to mental health decreased. Likewise, singular pronoun usage decreased significantly. These findings do not imply a diminished mental health impact, but rather suggest an increased focus on collective action over individual sentiment. Future studies should utilize interviews and focus groups to further examine the relevant mental health implications among individual adolescents.

Tweeting #Ferguson: Mediatized fields and the new activist journalist

2017 ◽  
Vol 20 (7) ◽  
pp. 2252-2271 ◽  
Author(s):  
Stephen R Barnard
Keyword(s):  
Field Theory ◽  
Social Media ◽  
Content Analysis ◽  
Social Network ◽  
Network Analysis ◽  
Mixed Methods Approach ◽  
Twitter Users ◽  
Journalistic Field

As a hybrid, journo-activist space, tweeting #Ferguson quickly emerged as a way for activists and journalists to network and spread information. Using a mixed-methods approach combining digital ethnographic content analysis with social network analysis and link analysis, this study examines journalistic and activist uses of Twitter to identify changes in field relations and practices. Employing the lenses of field theory and mediatization, this study finds parity and divergence in the themes, frames, format, and discourse of journalist and activist Twitter practices. While the traditions of objective journalism and affective activism persist, notable exceptions occurred, especially following acts of police suppression. The networked communities of professional and activist Twitter users were overlapping and interactive, suggesting hybridity at the margins of the journalistic field. Given the hybridizing of journalistic and journo-activist practices, this case study examines the role of social media in efforts to report on and bolster social change.

scholarly journals Identifying and Analyzing Health-Related Themes in Disinformation Shared by Conservative and Liberal Russian Trolls on Twitter

2021 ◽  
Vol 18 (4) ◽  
pp. 2159
Author(s):  
Amir Karami ◽  
Morgan Lundy ◽  
Frank Webb ◽  
Gabrielle Turner-McGrievy ◽  
Brooke W. McKeever ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Health Monitoring ◽  
P Value ◽  
Global Public Health ◽  
Significant Difference ◽  
Public Health Threat ◽  
2016 Election ◽  
Health Related ◽  
Left And Right

To combat health disinformation shared online, there is a need to identify and characterize the prevalence of topics shared by trolls managed by individuals to promote discord. The current literature is limited to a few health topics and dominated by vaccination. The goal of this study is to identify and analyze the breadth of health topics discussed by left (liberal) and right (conservative) Russian trolls on Twitter. We introduce an automated framework based on mixed methods including both computational and qualitative techniques. Results suggest that Russian trolls discussed 48 health-related topics, ranging from diet to abortion. Out of the 48 topics, there was a significant difference (p-value ≤ 0.004) between left and right trolls based on 17 topics. Hillary Clinton’s health during the 2016 election was the most popular topic for right trolls, who discussed this topic significantly more than left trolls. Mental health was the most popular topic for left trolls, who discussed this topic significantly more than right trolls. This study shows that health disinformation is a global public health threat on social media for a considerable number of health topics. This study can be beneficial for researchers who are interested in political disinformation and health monitoring, communication, and promotion on social media by showing health information shared by Russian trolls.

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