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探索新浪微博上的食品安全突发事件:运用文本挖掘与情感演变

Exploring Food Safety Emergency Incidents on Sina Weibo: Using Text Mining and Sentiment Evolution.

作者信息

Ma Biao, Zheng Ruihan

机构信息

School of Economics and Management, China University of Mining and Technology, Xuzhou 221116, PR China; School of Business, Wuxi Tai hu University, Wuxi 214122, PR China.

School of Business, Wuxi Tai hu University, Wuxi 214122, PR China.

出版信息

J Food Prot. 2025 Jan 2;88(1):100418. doi: 10.1016/j.jfp.2024.100418. Epub 2024 Nov 26.

DOI:10.1016/j.jfp.2024.100418
PMID:39608605
Abstract

Food safety remains a crucial concern in both public health and societal stability. In the age of information technology, social media has emerged as a pivotal channel for shaping public opinion and disseminating information, exerting a substantial influence on how the public perceives incidents related to food safety. This study specifically focuses on the "Rat-Headed Duck Neck" incident as a case study, conducting a comprehensive analysis of extensive social media data to investigate how online public discourse molds perceptions of such events. To accomplish this research, data were initially gathered using a custom web crawler technology. These data encompassed various aspects, including user interactions, emotional expressions, and the evolution of topics. Subsequently, the study employed an innovative approach by combining BERT-TextCNN and BERTopic models for a thorough analysis of sentiment and thematic aspects of the textual data. This analysis provided insights into the intricate emotions and primary concerns of the public regarding incidents related to food safety. Furthermore, the research harnessed Gephi, a network analysis tool, to scrutinize the dissemination of information within the network and to monitor dynamic shifts in public opinion. The findings from this study not only shed light on the role of online public sentiment in the propagation of food safety events but also provide fresh perspectives for policymakers and business leaders when responding to similar crises, taking into account the subtleties of online public sentiment. These innovative methodologies and findings significantly enhance our comprehension of public responses to food safety incidents within the realm of social media.

摘要

食品安全仍然是公共卫生和社会稳定方面的一个关键问题。在信息技术时代,社交媒体已成为塑造公众舆论和传播信息的关键渠道,对公众如何看待食品安全相关事件产生了重大影响。本研究特别聚焦于“鼠头鸭脖”事件作为案例研究,对大量社交媒体数据进行全面分析,以调查网络公众话语如何塑造对这类事件的认知。为完成这项研究,最初使用定制网络爬虫技术收集数据。这些数据涵盖了各个方面,包括用户互动、情感表达和话题演变。随后,该研究采用了一种创新方法,将BERT-TextCNN和BERTopic模型结合起来,对文本数据的情感和主题方面进行深入分析。这种分析揭示了公众对食品安全相关事件的复杂情感和主要关切。此外,该研究利用网络分析工具Gephi来审视网络内的信息传播,并监测公众舆论的动态变化。本研究的结果不仅揭示了网络公众情绪在食品安全事件传播中的作用,还为政策制定者和企业领导者在应对类似危机时提供了新的视角,同时考虑到网络公众情绪的微妙之处。这些创新方法和研究结果显著增强了我们对社交媒体领域内公众对食品安全事件反应的理解。

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引用本文的文献

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