在COVID-19疫苗接种话语期间,关键的德国在线社区的信息途径和空白:跨平台和混合方法分析分析
Silvan Wehrli1, Anna-Maria Hartner1,2, T Sonia Boender3,4,5,6,7
1Centre for Artificial Intelligence in Public Health Research, Robert Koch Institute, Nordufer 20, Berlin, 13353, Germany, 49 030187543732.
Journal of medical Internet research
|October 27, 2025
概括
在COVID-19大流行期间,主流信息存在于关键的德国Telegram社区中,但它的使用因平台而异. 了解这些信息空白对于管理健康信息流行病至关重要.
科学领域:
- 公共卫生 公共卫生
- 沟通研究 沟通研究
- 社会学 社会学 社会学
背景情况:
- 像Telegram这样的消息应用程序成为了在德国组织反对COVID-19公共卫生措施的抗议活动的枢纽.
- 这些平台促进了主流话语之外的讨论,通常包括阴谋论和极端主义内容.
- 在这些关键的在线社区中,主流信息的作用在很大程度上没有得到审查.
研究的目的:
- 调查在COVID-19大流行期间在关键的德国Telegram社区中利用主流信息 (政府和既定媒体).
- 分析Telegram上围绕COVID-19疫苗接种的言论,将其与X (以前的Twitter) 和在线新闻等平台进行比较.
- 通过跨平台分析,将研究结果与更广泛的社会信息格局联系起来.
主要方法:
- 对2019-2023年Telegram,X和在线新闻数据的分析,重点关注COVID-19疫苗接种话语.
- 使用文本聚类,关键字过,链接共享分析,时间序列分析和主题分析.
- 采用混合方法方法来进行全面的数据探索和分类.
主要成果:
- 在Telegram和X上确定了五个流行的疫苗接种主题 (死亡,长期COVID,学校措施,强制性疫苗接种,病毒变种).
- 与X (44%-60%) 相比,主流链接在Telegram上的外部链接中占比较小 (11%-35%).
- 话语动态显示了平台之间的不同相关性,主题分析揭示了主流信息的不同使用模式.
结论:
- 主流信息被整合到关键的Telegram社区中,但它的流行和功能与其他平台有很大的不同.
- 在信息传播方面,特定平台的差异可能会造成信息空白,使对抗健康信息流行病的努力复杂化.
- 跨平台分析对于理解复杂的信息流和制定有效的危机沟通策略至关重要.
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