Investigation of the determinants for misinformation correction effectiveness on social media during COVID-19 pandemic

Research on online public opinion dissemination and emergency countermeasures of food safety in universities-take the rat head and duck neck incident in China as an example

In recent years, food safety accidents have occurred frequently in colleges and universities, and students are prone to emotional resonance with food safety. It triggered heated discussions among the whole society and gradually formed a unique online public opinion on food safety in universities. After food safety incidents broke out in universities, some universities deliberately avoided responsibility or made mistakes in handling the incidents, which will create greater risks of online public opinion. Therefore, this paper takes the "Rat Head and Duck Neck" incident at Jiangxi Institute of Technology in China as an example. The purpose is to study the dissemination of public opinion on food safety online in universities and propose emergency countermeasures. Above all, the food safety online public opinion is divided into five stages: incubation period, burst period, spreading period, recurring period and dissipation period. Then, methods such as text mining and cluster analysis were used to deeply analyze the influencing factors at each stage of the development of food safety online public opinion. And analyze the role of different subjects in the development of public opinion based on the perspective of stakeholders. Finally, this paper provides corresponding countermeasures for different stages of online public opinion on food safety in universities, which provides suggestions and references for university governance. This study found that: (1) The resonance effect of online public opinion media on food safety in universities is significant. (2) Public opinion on food safety in universities is repetitive. (3) Improper response to food safety incidents in universities can easily trigger negative secondary public opinion.

"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.

Effect of digital messages from health professionals on COVID-19-related outcomes: A systematic review of randomized controlled trials

Effectiveness of health professionals' messages via digital tools on COVID-19-related outcomes remains unknown. In this systematic review, we examined this issue by searching randomized controlled trials in six databases until August, 2022 (PROSPERO, CRD 42022350788). Risk of bias was assessed using revised Cochrane risk-of-bias tool. Primary outcomes were COVID-19 infections, preventive behaviors, and factors that support behavioral change. Seven trials with 16 reports (some reported two or more outcomes) were included. One trial showed that physician videos distributed by Facebook ads significantly reduced COVID-19 infections. Five of 6 reports showed that interventions can promote non-pharmaceutical preventive behaviors, vaccination, or information-seeking behaviors and half of the results were significant. Interventions improved the factors that support behavioral change. 14 reports had some concerns of bias risk and 2 had high risk of bias. Our findings suggest that digital messages by health professionals may help reduce COVID-19 infections through promoting behavioral change.

Infodemic: Challenges and solutions in topic discovery and data process

BACKGROUND

The Coronavirus Disease 2019 (COVID-19) pandemic was a huge shock to society, and the ensuing information problems had a huge impact on society at the same time. The urgent need to understand the Infodemic, i.e., the importance of the spread of false information related to the epidemic, has been highlighted. However, while there is a growing interest in this phenomenon, studies on the topic discovery, data collection, and data preparation phases of the information analysis process have been lacking.

OBJECTIVE

Since the epidemic is unprecedented and has not ended to this day, we aimed to examine the existing Infodemic-related literature from January 2019 to December 2022.

METHODS

We have systematically searched ScienceDirect and IEEE Xplore databases with some search limitations. From the searched literature we selected titles, abstracts and keywords, and limitations sections. We conducted an extensive structured literature search and analysis by filtering the literature and sorting out the available information.

RESULTS

A total of 47 papers ended up meeting the requirements of this review. Researchers in all of these literatures encountered different challenges, most of which were focused on the data collection step, with few challenges encountered in the data preparation phase and almost none in the topic discovery section. The challenges were mainly divided into the points of how to collect data quickly, how to get the required data samples, how to filter the data, what to do if the data set is too small, how to pick the right classifier and how to deal with topic drift and diversity. In addition, researchers have proposed partial solutions to the challenges, and we have also proposed possible solutions.

CONCLUSIONS

This review found that Infodemic is a rapidly growing research area that attracts the interest of researchers from different disciplines. The number of studies in this field has increased significantly in recent years, with researchers from different countries, including the United States, India, and China. Infodemic topic discovery, data collection, and data preparation are not easy, and each step faces different challenges. While there is some research in this emerging field, there are still many challenges that need to be addressed. These findings highlight the need for more articles to address these issues and fill these gaps.

Configurational patterns for COVID-19 related social media rumor refutation effectiveness enhancement based on machine learning and fsQCA

Infodemics are intertwined with the COVID-19 pandemic, affecting people's perception and social order. To curb the spread of COVID-19 related false rumors, fuzzy-set qualitative comparative analysis (fsQCA) is used to find configurational pathways to enhance rumor refutation effectiveness. In this paper, a total of 1,903 COVID-19 related false rumor refutation microblogs on Sina Weibo are collected by a web crawler from January 1, 2022 to April 20, 2022, and 10 main conditions affecting rumor refutation effectiveness index (REI) are identified based on "three rules of epidemics". To reduce data redundancy, five ensemble machine learning models are established and tuned, among which Light Gradient Boosting Machine (LGBM) regression model has the best performance. Then five core conditions are extracted by feature importance ranking of LGBM. Based on fsQCA with the five core conditions, REI enhancement can be achieved through three different pathway elements configurations solutions: "Highly influential microblogger * high followers' stickiness microblogger", "high followers' stickiness microblogger * highly active microblogger * concise information description" and "high followers' stickiness microblogger * the sentiment tendency of the topic * concise information description". Finally, decision-making suggestions for false rumor refutation platforms and new ideas for improving false rumor refutation effectiveness are proposed. The innovation of this paper reflects in exploring the REI enhancement strategy from the perspective of configuration for the first time.

Pediatric COVID-19 Health Disparities and Vaccine Equity

While most children with coronavirus 2019 (COVID-19) experience mild illness, some are vulnerable to severe disease and develop long-term complications. Children with disabilities, those from lower-income homes, and those from racial and ethnic minority groups are more likely to be hospitalized and to have poor outcomes following an infection. For many of these same children, a wide range of social, economic, and environmental disadvantages have made it more difficult for them to access COVID-19 vaccines. Ensuring vaccine equity in children and decreasing health disparities promotes the common good and serves society as a whole. In this article, we discuss how the pandemic has exposed long-standing injustices in historically marginalized groups and provide a summary of the research describing the disparities associated with COVID-19 infection, severity, and vaccine uptake. Last, we outline several strategies for addressing some of the issues that can give rise to vaccine inequity in the pediatric population.

Cognitive Behavioral Psychotherapy after COVID-19: Opportunities and Prospects

This article reviews domestic and foreign studies on cognitive behavioral therapy techniques in treating cognitive disorders in former COVID-19 patients. Coronavirus-induced cognitive disorders include damage to the nervous system as a result of respiratory distress syndrome, cytokine storm, cerebral vascular thrombosis, direct exposure to SARS-Cov2, and inadequate immune response. Concomitant mental illnesses include autistic disorders, dementia, cognitive decline, eating disorders, suicidal behavior, anxiety, depression, post-traumatic stress, insomnia, etc. Diagnostic methods usually take into account a complex violation of mental activities, e.g., short memory span, attention deficiency, slow thinking, and various affective disorders. As a result, diagnostic methods can be divided into several areas: neuropsychological diagnostics of cognitive functions (MMSE, MOCA, FAB), identification of inadequate attitudes and behavior (WCQ, SPB, DAS), identification of violations of daily activity (The Barthel Scale), identification of psychological and psychiatric issues (Hospital Anxiety and Depression Scale, State-Trait Anxiety Inventory, Hamilton Rating Scale for Depression). Psychological care for former COVID-19 patients relies on some basic principles. Cognitive behavioral psychotherapy techniques aim at correcting cognitive distortions, teaching relaxation and self-regulation, improving problem-solving skills, and restoring cognitive functions. 

Mining Public Opinions on COVID-19 Vaccination: A Temporal Analysis to Support Combating Misinformation

This article presents a study that applied opinion analysis about COVID-19 immunization in Brazil. An initial set of 143,615 tweets was collected containing 49,477 pro- and 44,643 anti-vaccination and 49,495 neutral posts. Supervised classifiers (multinomial naïve Bayes, logistic regression, linear support vector machines, random forests, adaptative boosting, and multilayer perceptron) were tested, and multinomial naïve Bayes, which had the best trade-off between overfitting and correctness, was selected to classify a second set containing 221,884 unclassified tweets. A timeline with the classified tweets was constructed, helping to identify dates with peaks in each polarity and search for events that may have caused the peaks, providing methodological assistance in combating sources of misinformation linked to the spread of anti-vaccination opinion.