Examining COVID-19 Tweet Diffusion Using an Integrated Social Amplification of Risk and Issue-Attention Cycle Framework

Crafting effective health appeals: Language and source credibility in amplifying tobacco control messages on social media

Amplification of informational social media posts are crucial for disseminating tobacco control messages as part of an integrated behavior change strategy. Our study explores the amplification effectiveness of fear-based, trust-based, and linguistically complex framing for tobacco control appeals from credible sources and in general. Analyzing 42,261 tweets from 102 accounts using natural language processing techniques, we found fear-based (38.75%) and complex appeals (31.53%) increased retweets, while trust-based decreased them (-37.28%). Credible sources amplified trust-based (58.98%) and fear-based (69.58%) appeals but reduced the amplification of complex messages (-11.01%). Consequently, we highlight the need for strategic framing of tobacco control messages for greater impact.

Attention-Seeking Strategies: An Investigation of Sexual Assault Organizations' Communication Tactics on Twitter

This study examines the attention-seeking strategies of sexual assault organizations on Twitter in Canada, exploring the factors influencing the level of attention received. Drawing on the foundation work of Guo and Saxon's four-factor explanatory model, the research extends and refines the model by incorporating new factors, including Covid-related content, network size, intended audience, direct services, donations, and visual content. The study's methodology involved sampling 124 sexual assault and rape crisis centers in Canada, collecting Twitter data (n = 320,836 Tweets up to April 2023), and employing ordinary least squares and fixed effect regression analysis. Results showed significant relationships between these factors and attention received, providing insights for both theoretical understanding and practical guidance.

The emotions of Chinese netizens toward the opening-up policies for COVID-19: panic, trust, and acceptance

With the development of social media platforms such as Weibo, they have provided a broad platform for the expression of public sentiments during the pandemic. This study aims to explore the emotional attitudes of Chinese netizens toward the COVID-19 opening-up policies and their related thematic characteristics. Using Python, 145,851 texts were collected from the Weibo platform. Sentiment analysis and topic modeling techniques were employed to reveal the distribution of public emotions and key themes. The study found that the proportions of emotions were as follows: Good (46%), Happy (11%), Anger (17%), Disgust (6%), Sadness (10%), Surprise (2%), and Fear (8%). Through topic analysis, the following main themes were identified: medical resource shortages, healthcare workers, national policies, and COVID-19 sequelae. Based on the results of sentiment and topic analysis, public emotions toward the COVID-19 opening-up policies were categorized into three dimensions: panic, trust, and acceptance. Panic was primarily associated with medical resource shortages, concerns about COVID-19 sequelae, and doubts about policy transparency and fairness. Trust was reflected in public gratitude toward healthcare workers and support for national policies. Acceptance represented the public's optimism about returning to normal life. The findings demonstrate that changes in public emotions not only reflect the social impact of policy implementation but also highlight the critical roles of medical resource allocation, information transparency, and psychological health support in adjusting pandemic policies. This study provides empirical evidence and theoretical support for the government to develop more precise pandemic control strategies.

Opinion Leadership and Sharing Positive and Negative Information About Vaccines on Social Media: A Mixed-Methods Approach

In our research, we examined how three dimensions of opinion leadership-connectivity, maven, and persuasiveness-are associated with sharing positive and negative information about vaccines among parents in Hong Kong through a mixed-methods approach. In two studies, we assessed opinion leadership following a sociometric approach that involved using data from social media (Study 1) and a self-assessment using survey data (Study 2), which yielded largely consistent results. In particular, whereas connectivity and maven were significantly associated with sharing positive information about vaccines, all three dimensions were significantly associated with sharing negative information about vaccines. Those findings suggest that different dimensions of opinion leadership play different roles in information sharing depending on the information's valence. Moreover, the similar pattern of findings from both studies suggested that the sociometric approach and self-assessment may capture the multidimensional nature of opinion leadership equally well. In sum, the findings advance theoretical discussions on the role of opinion leadership in information sharing and offer practical insights into promoting vaccination for children among parents.

Nudging Public Health Behaviors to Prevent COVID-19: A Systematic Review

Many countries have implemented strict preventive measures and mandatory policies to curb virus transmission during the COVID-19 pandemic. Some have adopted softer approaches, such as nudge-based intervention, to influence public health behavior. This systematic review, conducted following Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) 2020 guidelines, aims to determine if the nudge-based intervention can effectively influence people's preventive behavior during the early period of the COVID-19 pandemic. The review indicated an overall positive outcome, but results were mixed as nudge-based interventions substantially depended on the situational context. While the review found that the nudging technique that presents and conveys decision-related information was essential to nudging people, a secondary nudge would often applied to deliver the interventions. In addition, there was no indication of an ideal nudge technique that would be effective in most situations. Conversely, our findings indicate that the nudge would likely suffer from habituation after repeated intervention or backfire due to inappropriate use of nudges. Also, the ceiling effect would inhibit any nudge influences regardless of the technique(s) used. In sum, the results and the applicability of nudge-based interventions were mixed, highlighting the need for further research to advance the theory and practical developments.

Examining media's coverage of COVID-19 vaccines and social media sentiments on vaccine manufacturers' stock prices

Introduction

The COVID-19 pandemic caused a widespread public health and financial crisis. The rapid vaccine development generated extensive discussions in both mainstream and social media, sparking optimism in the global financial markets. This study aims to explore the key themes from mainstream media's coverage of COVID-19 vaccines on Facebook and examine how public interactions and responses on Facebook to mainstream media's posts are associated with daily stock prices and trade volume of major vaccine manufacturers.

Methods

We obtained mainstream media's coverage of COVID-19 vaccines and major vaccine manufacturers on Facebook from CrowdTangle, a public insights tool owned and operated by Facebook, as well as the corresponding trade volume and daily closing prices from January 2020 to December 2021. Structural topic modelling was used to analyze social media posts while regression analysis was conducted to determine the impact of Facebook reactions on stock prices and trade volume.

Results

10 diverse topics ranging from vaccine trials and their politicization (note: check that we use American spelling throughout), to stock market discussions were found to evolve over the pandemic. Although Facebook reactions were not consistently associated with vaccine manufacturers' stock prices, 'Haha' and 'Angry' reactions showed the strongest association with stock price fluctuations. In comparison, social media reactions had little observable impact on trading volume.

Discussion

Topics generated reflect both actual events during vaccine development as well as its political and economic impact. The topics generated in this study reflect both the actual events surrounding vaccine development and its broader political and economic impact. While we anticipated a stronger correlation, our findings suggest a limited relationship between emotional reactions on Facebook and vaccine manufacturers' stock prices and trading volume. We also discussed potential technical enhancements for future studies, including the integration of large language models.

Respecting Conversational Norms Improves Reception of Expert Messages Among Unvaccinated Individuals

The association of medical experts with politically left-leaning cities and states early in the COVID-19 pandemic may have exacerbated vaccine hesitancy in right-leaning states of the US. Criticism from outside experts violates rules of communication between social groups (i.e. an intergroup sensitivity effect), leading to rejection of messages promoting vaccine safety and efficacy. In two studies, we document the effects of shared geographical group membership for medical expert messages promoting vaccination. We also found evidence that satisfying conversational norms against intergroup criticism reduces message rejection. Specifically, an invitation from ingroup political elites for a doctor to speak reduced the negative effects of unshared group identity.