Gyftopoulos Sotirios, Drosatos George, Fico Giuseppe, Pecchia Leandro, Kaldoudi Eleni
European Alliance for Medical and Biological Engineering and Science, 3001 Leuven, Belgium.
Institute for Language and Speech Processing, Athena Research Center, 67100 Xanthi, Greece.
Behav Sci (Basel). 2024 Feb 9;14(2):128. doi: 10.3390/bs14020128.
The COVID-19 pandemic, a period of great turmoil, was coupled with the emergence of an "infodemic", a state when the public was bombarded with vast amounts of unverified information from dubious sources that led to a chaotic information landscape. The excessive flow of messages to citizens, combined with the justified fear and uncertainty imposed by the unknown virus, cast a shadow on the credibility of even well-intentioned sources and affected the emotional state of the public. Several studies highlighted the mental toll this environment took on citizens by analyzing their discourse on online social networks (OSNs). In this study, we focus on the activity of prominent pharmaceutical companies on Twitter, currently known as X, as well as the public's response during the COVID-19 pandemic. Communication between companies and users is examined and compared in two discrete channels, the COVID-19 and the non-COVID-19 channel, based on the content of the posts circulated in them in the period between March 2020 and September 2022, while the emotional profile of the content is outlined through a state-of-the-art emotion analysis model. Our findings indicate significantly increased activity in the COVID-19 channel compared to the non-COVID-19 channel while the predominant emotion in both channels is joy. However, the COVID-19 channel exhibited an upward trend in the circulation of fear by the public. The quotes and replies produced by the users, with a stark presence of negative charge and diffusion indicators, reveal the public's preference for promoting tweets conveying an emotional charge, such as fear, surprise, and joy. The findings of this research study can inform the development of communication strategies based on emotion-aware messages in future crises.
新冠疫情期间动荡不安,同时还出现了“信息疫情”,即公众被大量来源可疑的未经证实的信息所轰炸,导致信息环境混乱不堪。向民众过度传递的信息,再加上未知病毒引发的合理恐惧和不确定性,即使是善意来源的可信度也受到了影响,并影响了公众的情绪状态。多项研究通过分析公民在在线社交网络(OSN)上的言论,突出了这种环境给公民带来的精神负担。在本研究中,我们聚焦于知名制药公司在推特(现称X)上的活动,以及新冠疫情期间公众的反应。基于2020年3月至2022年9月期间在两个不同渠道(新冠疫情渠道和非新冠疫情渠道)传播的帖子内容,对公司与用户之间的交流进行了审视和比较,同时通过先进的情感分析模型勾勒出内容的情感特征。我们的研究结果表明,与非新冠疫情渠道相比,新冠疫情渠道的活动显著增加,而两个渠道中占主导地位的情绪都是喜悦。然而,新冠疫情渠道中公众传递恐惧情绪的情况呈上升趋势。用户产生的引用和回复中明显带有负面电荷和传播指标,这揭示了公众对传播带有恐惧、惊讶和喜悦等情感电荷推文的偏好。本研究的结果可为未来危机中基于情感感知信息的沟通策略的制定提供参考。