Examining media’s coverage of Covid-19 vaccines and social media sentiments on vaccine manufacturers’ stock prices
Bibliographic Data
| ID | 22079494 |
|---|---|
| Authors | Shun Yao Bai (Nanyang Technological University, corresponding author), Edmund W J Lee (0000-0003-0536-2898, City University of Hong Kong) |
| Year | 2024 |
| Volume | 12 |
| Pages | 1411345-1411345 |
| Publication date | 2024-08-13 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2296-2565 • E-ISSN: 2296-2565 |
| Publisher | Frontiers Media SA (PUBLISHER • CH) |
| DOI | 10.3389/fpubh.2024.1411345 |
| PMID | 39193202 |
| OpenAlex | W4401603596 |
| Language | EN |
| Citations received | 1 |
| References cited | 28 |
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
Business · Economics · Mainstream · Pandemic · Political science · Politics · Social media · Advanced Causal Inference Techniques · COVID-19 Pandemic Impacts · Medicine · Vaccine Coverage and Hesitancy
Quanteda
All That Glitters
STM
Media Systems and Attention Cycles
Examining Covid-19 Tweet Diffusion Using an Integrated Social Amplification of Risk and Issue-Attention Cycle Framework
Assessing the cognitive and communicative properties of Facebook Reactions and Likes as lightweight feedback cues
Structural Topic Modeling For Social Scientists
Applying LDA Topic Modeling in Communication Research
Media Coverage of Public Health Epidemics
Where the Action Is
Can Large Language Models Transform Computational Social Science
From pandemic to Plandemic
| Citations per year | 1 |
|---|---|
| Citation span | 2025 - 2025 (1) |
| Highly cited | No |