From Networking to Mitigation: The Role of Social Media and Analytics in Combating the COVID-19 Pandemic

"It Frustrates Me Beyond Words That I Can't Fix that": Health Misinformation Correction on Facebook During COVID-19

This study investigated the experiences of communication officials at local health departments (LHD) in the US Midwest regarding the correction of health misinformation on Facebook during the COVID-19 pandemic. Through interviews with communication officials, this study examined how and why they corrected health misinformation, the challenges they encountered during the correction process, and the importance of having fact-checkers within LHDs. The analysis of the data revealed four major themes: factors influencing misinformation correction on Facebook, perceived effectiveness of health misinformation correction, the intersection of the First Amendment and health misinformation, and the role of fact-checking in LHDs. The LHD communication officials often faced conflicts and public rebuttals when directly correcting misinformation leading them to adopt the strategy of addressing misinformation through future posts instead of direct correction. These findings provide significant insights for communication officials to identify and correct health misinformation and emphasize the need for healthcare organizations to provide essential resources to information and communication professionals during times of crises.

Did COVID-19 affect rural households' subjective well-being? A social survey from rural China

Improving rural households' subjective well-being is an important element of economic and social revitalization in the post-epidemic period. Based on the survey data obtained from rural households in Hubei Province, the center of the outbreak in China, and its surrounding areas, this paper explores the impact mechanisms of the COVID-19 epidemic on subjective well-being from both economic and sociological perspectives with the help of structural equation modeling. The results show that COVID-19 significantly influenced rural households' subjective well-being in China. Furthermore, COVID-19 indirectly affected their subjective well-being by influencing optimism. The negative impact is moderated by government intervention and income resilience. Therefore, strengthening the emergency management capacity of local governments and encouraging the diversification of rural households' income sources are important strategies to effectively resolve epidemic shocks and improve the level of well-being.

Adoption of Social Media during Covid-19 Pandemic by African Presidents: A Cross-Sectional Study of Selected Facebook Accounts

This paper examined the adoption of social media to disperse information at the beginning of the ongoing coronavirus pandemic. Content analysis was employed to identify and select relevant posts for presidents of five African countries (Egypt, South Africa, Democratic Republic of Congo, Ethiopia, and Nigeria) from February to July 2020, which were analyzed using descriptive statistical methods. Results indicate that African leaders utilized Facebook mostly in April, posting majorly in text form about issues centered on diplomatic ties, information and orientation, and preventive measures. Followers were more inclined to share the posts than they react by emojis and comments based on Facebook account, post form, and post topic. The findings demonstratively uphold the significance of social media in leadership communication, highlighting ways by which frequent and dominant content can be directed in messages during a crisis.

Analysis of the opinions of individuals on the COVID-19 vaccination on social media

The COVID-19 pandemic continues to threaten public health globally. To develop effective interventions and campaigns to raise vaccination rates, policy makers need to understand people's attitudes towards vaccination. We examine the perspectives of people in India, the United States, Canada, and the United Kingdom on the administration of different COVID-19 vaccines. We analyse how public opinion and emotional tendencies regarding the COVID-19 vaccines relate to popular issues on social media. We employ machine learning algorithms to forecast thoughts based on the social media posts. The prevailing emotional tendency indicates that individuals have faith in immunisation. However, there is a likelihood that significant statements or events on a national, international, or political scale influence public perception of vaccinations. We show how public health officials can track public attitudes and opinions towards vaccine-related information in a geo-aware manner, respond to the sceptics, and increase the level of vaccine trust in a particular region or community.

Substance use and sentiment and topical tendencies: a study using social media conversations of youth experiencing homelessness

Purpose

This study investigates associations between Facebook (FB) conversations and self-reports of substance use among youth experiencing homelessness (YEH). YEH engage in high rates of substance use and are often difficult to reach, for both research and interventions. Social media sites provide rich digital trace data for observing the social context of YEH's health behaviors. The authors aim to investigate the feasibility of using these big data and text mining techniques as a supplement to self-report surveys in detecting and understanding YEH attitudes and engagement in substance use.

Design/methodology/approach

Participants took a self-report survey in addition to providing consent for researchers to download their Facebook feed data retrospectively. The authors collected survey responses from 92 participants and retrieved 33,204 textual Facebook conversations. The authors performed text mining analysis and statistical analysis including ANOVA and logistic regression to examine the relationship between YEH's Facebook conversations and their substance use.

Findings

Facebook posts of YEH have a moderately positive sentiment. YEH substance users and non-users differed in their Facebook posts regarding: (1) overall sentiment and (2) topics discussed. Logistic regressions show that more positive sentiment in a respondent's FB conversation suggests a lower likelihood of marijuana usage. On the other hand, discussing money-related topics in the conversation increases YEH's likelihood of marijuana use.

Originality/value

Digital trace data on social media sites represent a vast source of ecological data. This study demonstrates the feasibility of using such data from a hard-to-reach population to gain unique insights into YEH's health behaviors. The authors provide a text-mining-based toolkit for analyzing social media data for interpretation by experts from a variety of domains.

Recognition and Modeling of Crisis Propagation Patterns Combined with Robot Simulation of Social Networks

In order to improve the identification effect of a crisis propagation mode, this paper studies the crisis propagation mode of social networks and uses an intelligent method to identify the crisis propagation mode. Moreover, this paper analyzes and deduces the features of the modulated signal from the two aspects of spectrum and autocorrelation functions and extracts and simulates the features of signals of different modulation types. In addition, this paper verifies the proposed recognition method from two aspects through theoretical experiments and measured data and builds an intelligent model. Through the experimental research, it can be seen that the identification effect and the control effect of the crisis propagation model based on the social network proposed in this paper are relatively obvious.

The positive impact of social media on health behavior towards the COVID-19 pandemic in Bangladesh: A web-based cross-sectional study

BACKGROUND

Health information has a profound impact on developing awareness and ultimately preventing the burden of coronavirus disease-2019 (COVID-19) pandemic, but study in Bangladesh is lacking.

AIMS

Therefore, this study was conducted to investigate the impact of information from social media and television in developing health awareness among people amid the COVID-19 pandemic.

METHODS

Data was collected during December 10, 2020 to February 10, 2021 from 1808 people. Data was collected by using questionnaire about information source and their impact on COVID-19 related health measures. Pearson's correlation analyses was conducted.

RESULTS

Female (52%, 937 of 1808) was the most prevalent sex and the mean age was 24 ± 3.9 years. Most of the social media users were students (63%, 1131 of 1808). Social media (53%, 959 of 1808) and television (44%, 800 of 1808) were the most popular sources and Facebook (66.5%, 1203 of 1808) was the most common source of getting health information. About 87% people received health information on social media and television. Users of social media had about 3 times more likelihood to follow the health rules. About 80% participants who used social media followed the health measures after 0-28 days of getting the information. The strongest correlation was found between social distancing and the information on television (r = 0.943).

CONCLUSION

Strong correlation of health information was present among the participants in building awareness about taking preventive measures. This is the first study to describe the positive influence of information amid COVID-19 in Bangladesh.

The Psychological Impact and Associated Factors of COVID-19 on the General Public in Hunan, China

PURPOSE

This study aimed to assess the psychological impact of the COVID-19 pandemic among the general public in Hunan Province, China, which could help develop psychological interventions and mental health programs.

PARTICIPANTS AND METHODS

This online cross-sectional study recruited 571 participants through snowball sampling between February 2 and February 5, 2020. Data were collected through a general information questionnaire, the Public Emergency Psychological State Questionnaire, the Simple Coping Style Questionnaire, and the Public Disease Awareness on COVID-19 Scale.

RESULTS

The total mean score of the public emergency psychological state of the sample was 0.27 (0.31) points, with only 5.78% of participants (n = 33) developing psychological distress. Avoidant coping style and disease awareness were weakly positively correlated (rs = 0.257, p < 0.01) and weakly negatively correlated (rs = -0.124, p <0.01) with psychological responses, respectively. There were significant psychological differences among the following variables: occupation, symptoms of fever or fatigue, discernment of the authenticity of COVID-19 information, and level of concern regarding COVID-19 (p < 0.05).

CONCLUSION

The COVID-19 pandemic appears to have had a minor psychological impact on the general population in Hunan Province. However, psychological health promotion in the general public is still required, especially for employees (such as company employees, migrant workers, and businessmen), individuals with COVID-19-like symptoms, limited discernment competence and unconcerned attitudes.

IMPLICATIONS

The initiatives for improving psychological health among the general public could focus on delivering COVID-19 knowledge and alleviating avoidant coping styles. Our findings could provide important insight for the development of psychological support strategies in China, as well as in other places affected by the epidemic.