scholarly journals PUBLIC REACTION TO COVID-19 ON TWITTER: A THEMATIC ANALYSIS

2020 ◽  
pp. 349-358
Author(s):  
Akif Mustafa ◽  
Imaduddin Ansari ◽  
Subham Kumar Mohanta ◽  
Shalem Balla
Keyword(s):  
Public Health ◽  
Social Media ◽  
Thematic Analysis ◽  
Public Attention ◽  
The Public ◽  
Emergency Situations ◽  
Public Health Emergencies ◽  
Health Authorities ◽  
Social Media Platforms ◽  
Public Reaction

Emergency situations typically lead to a plethora of public attention on social media platforms like ‘Twitter’. Twitter provides a unique opportunity for public health researchers to analyze untampered information shared during a disease outbreak. Considering the ongoing public health emergency, we conducted a study investigating the public reaction to COVID-19 pandemic around the world using in-depth thematic analysis of Twitter data. A dataset of 212846 tweets was retrieved over a period of seven days (from April 13, 2020, to April 19, 2020) via Twitter Application Programme Interface (API). The following five keywords were used to collect the tweets: “coronavirus”, “covid-19”, “corona”, “covid”, “covid19”. After data filtering and cleaning 6348 tweets were randomly selected for in-depth thematic analysis. Thematic analysis was done manually using a two-level coding guide. A total of six main themes emerged from the analysis: ‘sentiments and feelings’, ‘Information’, ‘General Discussion’, ‘Politics’, ‘Food’, and ‘Sarcasm or humor’. The aforementioned themes were divided into 26 sub-themes. The results of the thematic analysis show that 30.1% of the tweets were regarding ‘sentiments and feelings’, 15.6% were regarding ‘politics’, and 6.5% were related to ‘sarcasm or humor’. The present study is the first study that has analyzed the public response to COVID-19 on Twitter. The study demonstrates that social media platforms (like Twitter) can be used to conduct infodemiological studies related to public health emergencies like the COVID-19 pandemic. We believe that the results of this study will be of potential interest to policymakers, health authorities, stakeholders, and public health and social science researchers. KEYWORDS:COVID-19, Twitter, Social Media, Coronavirus, Lockdown, Pandemic

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 “These Women are Making a Statement Against Rape and yet the only Thing Y'All can Focus on is ‘Eww They're Naked’”: Exploring Rape Culture on Facebook in South Africa

Gender Issues ◽  
2020 ◽  
Author(s):  
Zaida Orth ◽  
Michelle Andipatin ◽  
Brian van Wyk
Keyword(s):  
Social Media ◽  
South African ◽  
Public Discourse ◽  
Public Health Problem ◽  
Victim Blaming ◽  
Rape Culture ◽  
The Public ◽  
Social Media Platforms ◽  
Aggressive Male ◽  
Public Reaction

Abstract Sexual assault on campuses has been identified as a pervasive public health problem. In April 2016, students across South African universities launched the #Endrapeculture campaign to express their frustration against university policies which served to perpetuate a rape culture. The use of hashtag activism during the protest served to spark online public debates and mobilize support for the protests. This article describes the public reactions to the South African #Endrapeculture protests on the Facebook social media platform. Data was collected through natural observations of comment threads on news articles and public posts on the student protests, and subjected to content analysis. The findings suggest that the #nakedprotest was successful in initiating public conversations concerning the issue of rape culture. However, the reactions towards the #nakedprotest were divided with some perpetuating a mainstream public discourse which perpetuates rape culture, and others (re)presenting a counter-public that challenged current dominant views about rape culture. Two related main themes emerged: Victim-blaming and Trivialising Rape Culture. Victim-blaming narratives emerged from the commenters and suggested that the protesters were increasing their chances of being sexually assaulted by marching topless. This discourse seems to perpetuate the notion of the aggressive male sexual desire and places the onus on women to protect themselves. Other commenters criticised the #nakedprotest method through demeaning comments which served to derail the conversation and trivialise the message behind the protest. The public reaction to the #nakedprotest demonstrated that rape culture is pervasive in society and continues to be re(produced) through discourse on social media platforms. However, social media also offers individuals the opportunity to draw from and participate in multiple counter-publics which challenge these mainstream rape culture discourses.

scholarly journals Rational trust in resilient health systems

2019 ◽  
Vol 34 (7) ◽  
pp. 553-557 ◽  
Author(s):  
Sonja Kristine Kittelsen ◽  
Vincent Charles Keating
Keyword(s):  
Public Health ◽  
Health System ◽  
Health Systems ◽  
The Public ◽  
Public Health Emergencies ◽  
Health Authorities ◽  
Cast Doubt ◽  
Public Health Authorities ◽  
System Resilience ◽  
Relevant Component

AbstractThe 2014–15 Ebola epidemic in West Africa highlighted the significance of trust between the public and public health authorities in the mitigation of health crises. Since the end of the epidemic, there has been a focus amongst scholars and practitioners on building resilient health systems, which many see as an important precondition for successfully combatting future outbreaks. While trust has been acknowledged as a relevant component of health system resilience, we argue for a more sustained theoretical engagement with underlying models of trust in the literature. This article takes a first step in showing the importance of theoretical engagement by focusing on the appeal to rational models of trust in particular in the health system resilience literature, and how currently unconsidered assumptions in this model cast doubt on the effectiveness of strategies to generate trust, and therein resilience, during acute public health emergencies.

London faces pressure to bolster virus communication

2020 ◽  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Public Support ◽  
Contributory Factor ◽  
Content Type ◽  
The Public ◽  
General Lack ◽  
Public Health Emergencies ◽  
Public Health Messages ◽  
Mixed Messages

Subject UK COVID-19 communication. Significance Communication is critically important during public health emergencies. The United Kingdom’s communications have contained mixed messages and a general lack of transparency. Several decisions with strong scientific grounding have not been adequately explained, resulting in many government achievements being undermined or overlooked. This is also a major contributory factor in the government’s eroding public support. Impacts The content and delivery of future addresses will determine how closely the public adheres to changes in guidance. The speed at which sectors of the economy can re-open is heavily dependent on the success of the communications strategy. The ongoing infodemic being played out on social media will continue to hamper the communication of public health messages.

scholarly journals Chinese Public's Attention to the COVID-19 Epidemic on Social Media: Observational Descriptive Study

10.2196/18825 ◽  
2020 ◽  
Vol 22 (5) ◽  
pp. e18825 ◽  
Author(s):  
Yuxin Zhao ◽  
Sixiang Cheng ◽  
Xiaoyan Yu ◽  
Huilan Xu
Keyword(s):  
Public Health ◽  
Social Media ◽  
Positive Emotions ◽  
Public Concern ◽  
Public Attention ◽  
Mining System ◽  
The Public ◽  
Source Of Infection ◽  
The Government ◽  
And Control

Background Since the coronavirus disease (COVID-19) epidemic in China in December 2019, information and discussions about COVID-19 have spread rapidly on the internet and have quickly become the focus of worldwide attention, especially on social media. Objective This study aims to investigate and analyze the public’s attention to events related to COVID-19 in China at the beginning of the COVID-19 epidemic (December 31, 2019, to February 20, 2020) through the Sina Microblog hot search list. Methods We collected topics related to the COVID-19 epidemic on the Sina Microblog hot search list from December 31, 2019, to February 20, 2020, and described the trend of public attention on COVID-19 epidemic-related topics. ROST Content Mining System version 6.0 was used to analyze the collected text for word segmentation, word frequency, and sentiment analysis. We further described the hot topic keywords and sentiment trends of public attention. We used VOSviewer to implement a visual cluster analysis of hot keywords and build a social network of public opinion content. Results The study has four main findings. First, we analyzed the changing trend of the public’s attention to the COVID-19 epidemic, which can be divided into three stages. Second, the hot topic keywords of public attention at each stage were slightly different. Third, the emotional tendency of the public toward the COVID-19 epidemic-related hot topics changed from negative to neutral, with negative emotions weakening and positive emotions increasing as a whole. Fourth, we divided the COVID-19 topics with the most public concern into five categories: the situation of the new cases of COVID-19 and its impact, frontline reporting of the epidemic and the measures of prevention and control, expert interpretation and discussion on the source of infection, medical services on the frontline of the epidemic, and focus on the worldwide epidemic and the search for suspected cases. Conclusions Our study found that social media (eg, Sina Microblog) can be used to measure public attention toward public health emergencies. During the epidemic of the novel coronavirus, a large amount of information about the COVID-19 epidemic was disseminated on Sina Microblog and received widespread public attention. We have learned about the hotspots of public concern regarding the COVID-19 epidemic. These findings can help the government and health departments better communicate with the public on health and translate public health needs into practice to create targeted measures to prevent and control the spread of COVID-19.

scholarly journals Use of Health Belief Model–Based Deep Learning Classifiers for COVID-19 Social Media Content to Examine Public Perceptions of Physical Distancing: Model Development and Case Study (Preprint)

2020 ◽  
Author(s):  
Aravind Sesagiri Raamkumar ◽  
Soon Guan Tan ◽  
Hwee Lin Wee
Keyword(s):  
Public Health ◽  
Social Media ◽  
Public Perceptions ◽  
Perceived Barriers ◽  
Classification Models ◽  
Perceived Severity ◽  
The Public ◽  
Health Authorities ◽  
Public Health Authorities

BACKGROUND Public health authorities have been recommending interventions such as physical distancing and face masks, to curtail the transmission of coronavirus disease (COVID-19) within the community. Public perceptions toward such interventions should be identified to enable public health authorities to effectively address valid concerns. The Health Belief Model (HBM) has been used to characterize user-generated content from social media during previous outbreaks, with the aim of understanding the health behaviors of the public. OBJECTIVE This study is aimed at developing and evaluating deep learning–based text classification models for classifying social media content posted during the COVID-19 outbreak, using the four key constructs of the HBM. We will specifically focus on content related to the physical distancing interventions put forth by public health authorities. We intend to test the model with a real-world case study. METHODS The data set for this study was prepared by analyzing Facebook comments that were posted by the public in response to the COVID-19–related posts of three public health authorities: the Ministry of Health of Singapore (MOH), the Centers for Disease Control and Prevention, and Public Health England. The comments made in the context of physical distancing were manually classified with a Yes/No flag for each of the four HBM constructs: perceived severity, perceived susceptibility, perceived barriers, and perceived benefits. Using a curated data set of 16,752 comments, gated recurrent unit–based recurrent neural network models were trained and validated for text classification. Accuracy and binary cross-entropy loss were used to evaluate the model. Specificity, sensitivity, and balanced accuracy were used to evaluate the classification results in the MOH case study. RESULTS The HBM text classification models achieved mean accuracy rates of 0.92, 0.95, 0.91, and 0.94 for the constructs of perceived susceptibility, perceived severity, perceived benefits, and perceived barriers, respectively. In the case study with MOH Facebook comments, specificity was above 96% for all HBM constructs. Sensitivity was 94.3% and 90.9% for perceived severity and perceived benefits, respectively. In addition, sensitivity was 79.6% and 81.5% for perceived susceptibility and perceived barriers, respectively. The classification models were able to accurately predict trends in the prevalence of the constructs for the time period examined in the case study. CONCLUSIONS The deep learning–based text classifiers developed in this study help to determine public perceptions toward physical distancing, using the four key constructs of HBM. Health officials can make use of the classification model to characterize the health behaviors of the public through the lens of social media. In future studies, we intend to extend the model to study public perceptions of other important interventions by public health authorities.

scholarly journals Digital Health Communication Common Agenda 2.0: An Updated Consensus for the Public and Private Sectors to Advance Public Health

2019 ◽  
Vol 46 (2_suppl) ◽  
pp. 124S-128S ◽  
Author(s):  
Robert S. Gold ◽  
M. Elaine Auld ◽  
Lorien C. Abroms ◽  
Joseph Smyser ◽  
Elad Yom-Tov ◽  
...  
Keyword(s):  
Public Health ◽  
Social Media ◽  
Health Communication ◽  
Digital Health ◽  
Public And Private ◽  
The Public ◽  
Social Media Platforms ◽  
Use Of The Internet ◽  
Legal Frameworks ◽  
Common Agenda

Despite widespread use of the Internet and social media platforms by the public, there has been little organized exchange of information among the academic, government, and technology sectors about how digital communication technologies can be maximized to improve public health. The second Digital Health Promotion Executive Leadership Summit convened some of the world’s leading thinkers from across these sectors to revisit how communication technology and the evolving social media platforms can be utilized to improve both individual and population health. The Summit focused on digital intelligence, the spread of misinformation, online patient communities, censorship in social media, and emerging global legal frameworks. In addition, Summit participants had an opportunity to review the original “Common Agenda” that emerged and was published after the inaugural Summit and recommend updates regarding the uses of digital technology for advancing the goals of public health. This article reports the outcomes of the Summit discussions and presents the updates that were recommended by Summit participants as the Digital Health Communication Common Agenda 2.0. Several of the assertions underlying the original Common Agenda have been modified, and several new assertions have been added to reflect the recommendations. In addition, a corresponding set of principles and related actions—including a recommendation that an interagency panel of the U.S. Department of Health and Human Services be established to focus on digital health communication, with particular attention to social media—have been modified or supplemented.

scholarly journals Public Voice via Social Media: Role in Cooperative Governance during Public Health Emergency

2020 ◽  
Vol 17 (18) ◽  
pp. 6840 ◽  
Author(s):  
Yang Yang ◽  
Yingying Su
Keyword(s):  
Public Health ◽  
Social Media ◽  
Product Innovation ◽  
Social Issues ◽  
Voice Behavior ◽  
The Public ◽  
Public Health Emergencies ◽  
Policy Evolution ◽  
Public Voice ◽  
Cooperative Governance

With the development of the Internet, social networking sites have empowered the public to directly express their views about social issues and hence contribute to social change. As a new type of voice behavior, public voice on social media has aroused wide concern among scholars. However, why public voice is expressed and how it influences social development and betterment in times of public health emergencies remains unstudied. A key point is whether governments can take effective countermeasures when faced with public health emergencies. In such situation, public voice is of great significance in the formulation and implementation of coping policies. This qualitive study uses China’s Health Code policy under COVID-19 to explore why the public performs voice behavior on social media and how this influences policy evolution and product innovation through cooperative governance. A stimulus-cognition-emotion-behavior model is established to explain public voice, indicating that it is influenced by cognitive processes and public emotions under policy stimulus. What is more, as a form of public participation in cooperative governance, public voice plays a significant role in promoting policy evolution and product innovation, and represents a useful form of cooperation with governments and enterprises to jointly maintain social stability under public health emergencies

scholarly journals Social Media Strategies of Right-Wing Movements - The Radicalization of Pegida

2018 ◽  
Author(s):  
Carsten Schwemmer
Keyword(s):  
Social Media ◽  
Public Sphere ◽  
Right Wing ◽  
Public Attention ◽  
The Public ◽  
News Reports ◽  
Exogenous Shocks ◽  
User Activity ◽  
Social Media Platforms ◽  
The Public Sphere

This paper investigates how right-wing movements strategically utilize social media for communication with supporters. I argue that movements seek to maximize user activity on social media platforms for increasing on-site mobilization. To examine what factors affect social media activity and how right-wing movements strategically adjust their content, I analyze the German right-wing movement Pegida, which uses Facebook for spreading its anti-Islam agenda and promoting events in the Internet. Data from Pegida’s Facebook page are combined with news reports over a period of 18 months to measure activity on Facebook and in the public sphere simultaneously. Results of quantitative text and time series analysis show that the quantity of posts by Pegida does not increase user activity, but it is the content of posts that matters. Moreover, findings highlight a strong connection between Facebook activities and the public sphere. In times of decreasing public attention, the movement changes its social media strategy in response to exogenous shocks and resorts increasingly to radical mobilization methods.

scholarly journals Online Public Attention During the Early Days of the COVID-19 Pandemic: Infoveillance Study Based on Baidu Index (Preprint)

2020 ◽  
Author(s):  
Xue Gong ◽  
Yangyang Han ◽  
Mengchi Hou ◽  
Rui Guo
Keyword(s):  
Public Health ◽  
Spatial Distribution ◽  
Search Engines ◽  
Temporal Trend ◽  
Monitoring Data ◽  
Internet Search ◽  
Public Attention ◽  
The Public ◽  
Public Health Emergencies ◽  
Death Cases

BACKGROUND The COVID-19 pandemic has become a global public health event, attracting worldwide attention. As a tool to monitor public awareness, internet search engines have been widely used in public health emergencies. OBJECTIVE This study aims to use online search data (Baidu Index) to monitor the public’s attention and verify internet search engines’ function in public attention monitoring of public health emergencies. METHODS We collected the Baidu Index and the case monitoring data from January 20, 2020, to April 20, 2020. We combined the Baidu Index of keywords related to COVID-19 to describe the public attention’s temporal trend and spatial distribution, and conducted the time lag cross-correlation analysis. RESULTS The Baidu Index temporal trend indicated that the changes of the Baidu Index had a clear correspondence with the development time node of the pandemic. The Baidu Index spatial distribution showed that in the regions of central and eastern China, with denser populations, larger internet user bases, and higher economic development levels, the public was more concerned about COVID-19. In addition, the Baidu Index was significantly correlated with six case indicators of new confirmed cases, new death cases, new cured discharge cases, cumulative confirmed cases, cumulative death cases, and cumulative cured discharge cases. Moreover, the Baidu Index was 0-4 days earlier than new confirmed and new death cases, and about 20 days earlier than new cured and discharged cases while 3-5 days later than the change of cumulative cases. CONCLUSIONS The national public’s demand for epidemic information is urgent regardless of whether it is located in the hardest hit area. The public was more sensitive to the daily new case data that represents the progress of the epidemic, but the public’s attention to the epidemic situation in other areas may lag behind. We could set the Baidu Index as the sentinel and the database in the online infoveillance system for infectious disease and public health emergencies. According to the monitoring data, the government needs to prevent and control the possible outbreak in advance and communicate the risks to the public so as to ensure the physical and psychological health of the public in the epidemic.

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