Data from the Sina Weibo platform during the 2023-2024 influenza season (October 2023 to March 2024)

This document consists of two parts data for sentiment analysis, content analysis and developed a dynamic PSHSLCR model to quantify emotional contagion patterns driven by heterogeneous risk perception among netizens and post influence, and conducted intervention simulations to develop strategies for mitigating the spread of negative emotions among netizens. The first part collected the public data of the # Influenza # topic on Sina Weibo from October 1, 2023 to March 25, 2024. The dataset includes the original posts (username, user ID, posting time, content, and geolocation by IP city) and the corresponding comments (commenter’s username, ID, comment time, content, and geolocation by IP city), and the final dataset comprised 439 posts and 4,968 comments. The second part is the key words and stop words of this topic required for drawing the word clouds.

本数据集包含两项用于情感分析（sentiment analysis）与内容分析（content analysis）的配套数据，并构建了动态PSHSLCR模型，用于量化网民异质风险感知（heterogeneous risk perception）驱动的情感传染模式（emotional contagion patterns）与帖子影响力（post influence）；同时开展干预模拟（intervention simulations），以制定缓解网民负面情绪传播的策略。第一部分采集了2023年10月1日至2024年3月25日新浪微博（Sina Weibo）#流感#话题的公开数据。该数据集包含原始帖子（含用户名、用户ID、发布时间、内容及IP城市定位信息）与对应评论（含评论者用户名、ID、评论时间、内容及IP城市定位信息），最终数据集共包含439条帖子与4968条评论。第二部分为本话题绘制词云（word cloud）所需的关键词与停用词（stop words）集合。