School of Communication, Hong Kong Baptist University, Hong Kong, China (Hong Kong).
Department of Interactive Media, Hong Kong Baptist University, Hong Kong, China (Hong Kong).
J Med Internet Res. 2024 Jun 6;26:e48491. doi: 10.2196/48491.
Social media has become an increasingly popular and critical tool for users to digest diverse information and express their perceptions and attitudes. While most studies endeavor to delineate the emotional responses of social media users, there is limited research exploring the factors associated with the emergence of emotions, particularly negative ones, during news consumption.
We aim to first depict the web coverage by news organizations on social media and then explore the crucial elements of news coverage that trigger the public's negative emotions. Our findings can act as a reference for responsible parties and news organizations in times of crisis.
We collected 23,705 Facebook posts with 1,019,317 comments from the public pages of representative news organizations in Hong Kong. We used text mining techniques, such as topic models and Bidirectional Encoder Representations from Transformers, to analyze news components and public reactions. Beyond descriptive analysis, we used regression models to shed light on how news coverage on social media is associated with the public's negative emotional responses.
Our results suggest that occurrences of issues regarding pandemic situations, antipandemic measures, and supportive actions are likely to reduce the public's negative emotions, while comments on the posts mentioning the central government and the Government of Hong Kong reveal more negativeness. Negative and neutral media tones can alleviate the rage and interact with the subjects and issues in the news to affect users' negative emotions. Post length is found to have a curvilinear relationship with users' negative emotions.
This study sheds light on the impacts of various components of news coverage (issues, subjects, media tone, and length) on social media on the public's negative emotions (anger, fear, and sadness). Our comprehensive analysis provides a reference framework for efficient crisis communication for similar pandemics at present or in the future. This research, although first extending the analysis between the components of news coverage and negative user emotions to the scenario of social media, echoes previous studies drawn from traditional media and its derivatives, such as web newspapers. Although the era of COVID-19 pandemic gradually brings down the curtain, the commonality of this research and previous studies also contributes to establishing a clearer territory in the field of health crises.
社交媒体已成为用户获取多样化信息、表达认知和态度的重要工具。尽管大多数研究都致力于描述社交媒体用户的情绪反应,但很少有研究探讨新闻消费过程中产生情绪(尤其是负面情绪)的相关因素。
我们旨在首先描绘新闻机构在社交媒体上的网络报道,然后探讨引发公众负面情绪的新闻报道关键要素。我们的研究结果可为危机时期的相关方和新闻机构提供参考。
我们收集了香港有代表性的新闻机构的公众页面上的 23705 条 Facebook 帖子和 1019317 条评论。我们使用文本挖掘技术,如主题模型和基于转换器的双向编码器表示,来分析新闻内容和公众的反应。除了描述性分析,我们还使用回归模型来探讨社交媒体上的新闻报道与公众的负面情绪反应之间的关联。
研究结果表明,与疫情情况、抗疫措施和支持性行动相关的事件发生的可能性较小,而与中央政府和香港政府相关的帖子评论则显示出更多的消极性。负面和中性的媒体基调可以缓解愤怒情绪,并与新闻中的主题和事件相互作用,影响用户的负面情绪。文章长度与用户的负面情绪呈曲线关系。
本研究揭示了新闻报道的各个组成部分(议题、主体、媒体基调、文章长度)对社交媒体上公众负面情绪(愤怒、恐惧和悲伤)的影响。我们的综合分析为当前或未来类似疫情的高效危机沟通提供了参考框架。虽然本研究首次将新闻报道组成部分与用户负面情绪之间的分析扩展到社交媒体场景,但也与传统媒体及其衍生媒体(如网络报纸)的先前研究结果相呼应。尽管新冠疫情时代逐渐落幕,但本研究与先前研究的共通性也有助于在健康危机领域建立更明确的领域。