Shah Zakir, Wei Lu
College of Media and International Culture, Zhejiang University, Hangzhou, China.
Front Psychol. 2022 Jun 16;13:882705. doi: 10.3389/fpsyg.2022.882705. eCollection 2022.
During the coronavirus disease 2019 (COVID-19) pandemic, people use social networking sites (SNSs) to seek social support, ease the move toward the social distance, and communicate and engage with one another. However, there is growing evidence that trustworthiness and quality of information can affect individuals' online engagement behaviors. This study proposes a theoretical model to test people's online engagement during the COVID-19 pandemic by applying the elaboration likelihood model (ELM). Through a questionnaire survey of 630 SNS users, the study examines whether and how source credibility and information quality affect people's online engagement during the COVID-19 pandemic. The model was tested using structural equation modeling. The findings show that source credibility and information quality have a significantly positive relationship with perceived benefit, while negative and significantly associated with perceived risk. Furthermore, perceived benefit is a stronger predictor of online public engagement than the perceived risk. To improve online public engagement as a crisis response strategy, careful source selection and careful generation of online crisis information should not be overlooked.
在2019年冠状病毒病(COVID-19)大流行期间,人们利用社交网站来寻求社会支持、缓解社交距离带来的影响,并相互交流互动。然而,越来越多的证据表明,信息的可信度和质量会影响个人的在线参与行为。本研究提出一个理论模型,通过应用精细加工可能性模型(ELM)来测试COVID-19大流行期间人们的在线参与情况。通过对630名社交网站用户进行问卷调查,该研究考察了来源可信度和信息质量在COVID-19大流行期间是否以及如何影响人们的在线参与。使用结构方程模型对该模型进行了测试。研究结果表明,来源可信度和信息质量与感知收益呈显著正相关,而与感知风险呈负相关且显著相关。此外,感知收益比感知风险更能预测在线公众参与。作为一种危机应对策略,为了提高在线公众参与度,不应忽视谨慎选择信息来源和精心生成在线危机信息。