在信息宣传和争议之间:关于瑞士和奥地利COVID-19疫苗接种的定量报纸内容分析
Bettina M Zimmermann1,2,3, Katharina T Paul4,5, Anna Janny4
1Institute for Biomedical Ethics, University of Basel, Switzerland.
Scandinavian journal of public health
|August 30, 2023
概括
媒体对奥地利和瑞士COVID-19疫苗的报道揭示了关键差异. 奥地利的小报有助于两极分化疫苗辩论,可能会影响公众的信任和接收.
科学领域:
- 公共卫生传播 公共卫生传播
- 媒体研究 媒体研究
- 疫苗学 疫苗学 疫苗学
背景情况:
- 媒体框架显著影响公众论和卫生政策.
- 了解关于公共卫生问题的新闻报道对于研究和实践至关重要.
- COVID-19疫苗传播仍然是一个关键的公共卫生问题.
研究的目的:
- 分析和比较奥地利和德语瑞士报纸中COVID-19疫苗的框架.
- 为了研究这些的时间发展,随着时间的推移.
主要方法:
- 来自奥地利和德语瑞士的六家报纸的定量内容分析 (2022年1月1日至31日).
- 层次集群分析 (Ward的方法) 用于根据框架元素识别框架.
- 每个国家单独分析的框架.
主要成果:
- 确定了四个共同的框架:评估疫苗,讨论任务,促进疫苗接种和提及疫苗.
- 这两个国家都主要以支持疫苗的言论为主.
- 与瑞士报道相比,奥地利的报道,特别是小报的报道,显示出更多的疫苗怀疑和两极分化内容.
- 奥地利的小报"克罗宁日报"主导了分析的内容.
结论:
- 奥地利的小报媒体的高份额可能会促进过于简单和极化的COVID-19疫苗辩论.
- 不平衡的信息可能会削弱公众对疫苗接种的信任,并影响接种率.
- 公共卫生当局在设计疫苗接种信息活动时应考虑媒体框架的影响.
相关概念视频
Vaccinations
44.7K
Overview
44.7K
Contingency Table
2.5K
A contingency table provides a way of portraying data that can facilitate calculating probabilities. It is a method of displaying a frequency distribution as a table with rows and columns to show how two variables may be dependent (contingent) upon each other; The table helps determine conditional probabilities quite quickly and can help systematically organize, analyze and quantify data. The table displays sample values concerning two variables that may be dependent or contingent on one...
2.5K
Cancer Vaccines
400
Cancer treatment vaccines are a rapidly evolving field that offers a promising approach to immunotherapy. Unlike traditional vaccines that prevent diseases, cancer treatment vaccines are designed to treat existing cancers by stimulating the immune system to recognize and attack cancer cells.
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
Cancer vaccines come in two categories: preventive (prophylactic) and treatment (active). Preventive vaccines, such as the Human Papillomavirus (HPV) vaccine, protect against viruses that cause certain...
400
Chi-square Analysis
38.3K
The chi-square test is a statistical hypothesis test. It is used to check whether there is a significant difference between an expected value and an observed value. In the context of genetics, it enables us to either accept or reject a hypothesis, based on how much the observed values deviate from the expected values.
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
The chi-square test was developed by Pearson in 1990.
The first step of performing a Chi-square analysis is to establish a null hypothesis, which assumes that there is no real...
38.3K
Types of Skewness
12.3K
If the frequency distribution of a data set is more inclined towards smaller or larger values, the distribution is said to be skewed. If data values are skewed to the right, then the distribution is called positively skewed. Conversely, if the plot is skewed to the left, the distribution is called negatively skewed.
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
For instance, in the middle of a pandemic, the geographical distribution of vaccine coverage may be positively skewed towards populations in the global north countries. However,...
12.3K
Pharmacovigilance
886
Post-marketing surveillance is a critical component of pharmaceutical regulation, often uncovering unanticipated adverse drug reactions (ADRs) once a drug is widely used over an extended period.
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
This process, termed pharmacovigilance, aims to detect, evaluate, and minimize harmful effects related to medication use. The data collection for pharmacovigilance depends on spontaneous reporting systems, where healthcare professionals or patients voluntarily report suspected ADRs.
In some cases, there...
886


