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在X上的讨论:基于亚种群的纵向分析
Parisa Momeni1, Gabriel Laverghetta1, Jay Ligatti1
1Bellini College of Artificial Intelligence, Cybersecurity and Computing, University of South Florida, Tampa, FL, United States.
社交媒体上关于塞马格卢提德的讨论显示,人们的情绪正在下降,重点关注减肥和副作用. 组织账户表达的负面情绪比个人少,突出了用户对这种广泛销售的药物的细微感知.
科学领域:
- 社交媒体分析.
- 计算社会科学 计算社会科学
- 药品用户体验研究研究
背景情况:
- 用户体验显著影响制药药物的有效性.
- 像X (以前的推特) 这样的社交媒体平台是分享药物经验的关键,特别是对于像Semaglutide这样的药物.
- 了解不同用户亚群参与塞马格卢提德讨论的程度尚不发达.
研究的目的:
- 为了探索不同X用户群体的Semaglutide感知.
- 为了研究情绪模式向semaglutide的演变.
- 分析与塞马格卢提德相关的讨论话题的演变和流行情况.
主要方法:
- 从2021年7月到2024年4月,分析了859,751条关于塞马格卢提德的X帖子 (推文).
- 情感分析和主题建模的应用,以识别讨论模式.
- 在特定的用户子群体和时间段内检查情绪和主题.
主要成果:
- 整体平均情绪得分为-0.24,所有用户亚群的情绪都在下降.
- 主要讨论主题包括减肥应用,副作用,经济因素和名人/政治影响.
- 与个人 (平均值 -0.28) 相比,组织账户的负面情绪显著减少 (平均值 -0.04),特别是在有效性和监管问题上.
结论:
- 这项研究增强了对社交媒体上不同用户对塞马格卢提德的看法的理解.
- 尽管存在普遍的消极情绪,但在用户子群体中,在情绪和主题上存在微妙的差异.
- 研究结果为健康传播策略和药物监督工作提供了宝贵的见解.
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