Social media has been an instant source of information for natural disasters, such as urban floods, throughout the world. Ex-post evaluation of the information is considered more important after a flood disaster with devastating consequences on critical infrastructure, the environment, and the well-being of the society. Research proposes an evaluation framework for integrating the disorganized online public opinion on urban flood disaster events towards emotional and conceptual characteristics for better ex-post analysis and public participation. Social media posts on an urban flood were acquired using a search engine, and then sentiment analysis, topic modeling, and spatial–temporal analysis were performed to generate measures of online public opinion about the urban flood crisis. Twitter (X) is the most popular microblogging service presently available. As per the methodology, we analyzed all tweets regarding the 2022 urban flood in the cosmopolitan city (Karachi) of Pakistan from users all over the world. The evaluation results demonstrated that the distribution patterns of post intensities and emotion polarity in response to the floods emphasized crucial aspects with contradictory emotions and highlighted the strategic implications. Experimental results on real datasets show relatively better performance than the baseline and state-of-the-art approaches and achieved the highest 91% score. Online public opinion is a valuable supplement to ex post-disaster evaluation as it helps the project (e.g., flood management) better perform and provides suggestions for future flood mitigation, especially public participation management.

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Twitter (X) 社交媒体数据对于城市洪水管理的效果如何？

社交媒体一直是世界各地城市洪水等自然灾害的即时信息来源。洪水灾害对关键基础设施、环境和社会福祉造成毁灭性后果后，信息的事后评估被认为更加重要。研究提出了一个评估框架，将城市洪涝灾害事件中杂乱的网络舆论整合到情感和概念特征上，以便更好的事后分析和公众参与。使用搜索引擎获取有关城市洪水的社交媒体帖子，然后进行情感分析、主题建模和时空分析，以生成有关城市洪水危机的在线舆情度量。 Twitter (X) 是目前最受欢迎的微博服务。根据该方法，我们分析了来自世界各地的用户关于 2022 年巴基斯坦国际大都市（卡拉奇）城市洪水的所有推文。评价结果表明，应对洪涝灾害的岗位强度和情绪极性的分布格局，突出了情绪矛盾的关键环节，凸显了战略意义。真实数据集上的实验结果显示，与基线和最先进的方法相比，性能相对更好，并取得了最高的 91% 分数。网络舆情是灾后评估的宝贵补充，有助于洪水管理等项目更好地执行，并为未来的防洪减灾特别是公众参与管理提供建议。