新冠肺炎疫苗误传话题在社交媒体上的情绪及传播特征分析

IF 0.8 Q4 BUSINESS

International Journal of Business Analytics Pub Date : 2022-07-01 DOI:10.4018/ijban.292056

M. Daradkeh

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引用次数: 6

摘要

本研究提出了一个数据分析框架，旨在分析社交媒体中与新冠肺炎疫苗错误信息相关的话题和情绪。2021年1月至2021年3月期间，共收集了40359条与新冠肺炎疫苗接种相关的推文。使用多个预测性机器学习模型检测错误信息。潜在狄利克雷分配（LDA）主题模型用于识别新冠肺炎疫苗错误信息中的主导主题。使用基于词典的方法分析了错误信息的情绪取向。进行了独立样本t检验，以比较不同情绪取向的错误信息的回复、转发和点赞数量。基于数据样本，结果显示新冠肺炎疫苗错误信息包括21个主要话题。在所有错误信息主题中，具有负面情绪的推文的平均回复、转发和点赞数量分别是具有正面情绪的推特的2.26倍、2.68倍和3.29倍。

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Analyzing Sentiments and Diffusion Characteristics of COVID-19 Vaccine Misinformation Topics in Social Media

This study presents a data analytics framework that aims to analyze topics and sentiments associated with COVID-19 vaccine misinformation in social media. A total of 40,359 tweets related to COVID-19 vaccination were collected between January 2021 and March 2021. Misinformation was detected using multiple predictive machine learning models. Latent Dirichlet Allocation (LDA) topic model was used to identify dominant topics in COVID-19 vaccine misinformation. Sentiment orientation of misinformation was analyzed using a lexicon-based approach. An independent-samples t-test was performed to compare the number of replies, retweets, and likes of misinformation with different sentiment orientations. Based on the data sample, the results show that COVID-19 vaccine misinformation included 21 major topics. Across all misinformation topics, the average number of replies, retweets, and likes of tweets with negative sentiment was 2.26, 2.68, and 3.29 times higher, respectively, than those with positive sentiment.

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来源期刊

International Journal of Business Analytics BUSINESS-

CiteScore

2.30

自引率

27.30%

发文量

期刊介绍： The main objective of the International Journal of Business Analytics (IJBAN) is to advance the next frontier of decision sciences and provide an international forum for practitioners and researchers in business and governmental organizations—as well as information technology professionals, software developers, and vendors—to exchange, share, and present useful and innovative ideas and work. The journal encourages exploration of different models, methods, processes, and principles in profitable and actionable manners.