Kuang Yi, Xu Ming-Xing, Yang Shu-Wen, Ding Yang, Zheng Rui, Taplin John, Li Shu
CAS Key Laboratory of Behavioural Science, Institute of Psychology, Chinese Academy of Sciences, Beijing, 100101, People's Republic of China.
Department of Psychology, University of Chinese Academy of Sciences, Beijing, 100049, People's Republic of China.
Psychol Res Behav Manag. 2021 May 17;14:563-574. doi: 10.2147/PRBM.S309146. eCollection 2021.
The COVID-19 pandemic has received broad public attention and has been subject to social media discussion since the beginning of 2020. Previous research has demonstrated that framing could influence perception and behaviors of audience members in the mass media. The question addressed in this paper concerns which information frame is best for reporting negative news (eg, deaths) and positive news (eg, recoveries or cures) related to the outbreak of COVID-19.
During the Spring Festival holidays of 2020 in China, we investigated a sample of 8170 participants' risk perceptions and emotional responses to the pandemic, and their willingness to forward updates when the information is presented in different frames by using a 2 (domain: living [good news] vs dying [bad news]) × 2 (count: absolute vs relative) × 2 (population base: excluding population base vs including population base) × 2 (content: text-only vs text-plus-graphic) mixed factorial design, with the first factor being a within-subjects factor and the last three being between-subjects factors.
Results indicated that (1) participants were more willing to forward good news (eg, cures) than bad news (eg, deaths); (2) when reporting bad news, the inclusion of the "population base" was effective in minimizing negative emotions; (3) when reporting good news, excluding the "population base" was more effective than including it in order to maximize positive emotions; (4) a text-plus-graphic frame worked better than a text-only frame in lowering the level of risk perception and negative emotions.
This study is relevant to how individuals and organizations communicate information about this viral pandemic and the probable impact of this news on the general public.
自2020年初以来,新冠疫情受到了公众的广泛关注,并在社交媒体上引发了讨论。此前的研究表明,框架构建会影响大众媒体中受众的认知和行为。本文探讨的问题是,对于报道与新冠疫情爆发相关的负面新闻(如死亡)和正面新闻(如康复或治愈),哪种信息框架最为合适。
在中国2020年春节假期期间,我们采用2(领域:生存[好消息]与死亡[坏消息])×2(计数:绝对数与相对数)×2(人口基数:不包括人口基数与包括人口基数)×2(内容:纯文本与文本加图表)混合因子设计,调查了8170名参与者对疫情的风险认知、情绪反应,以及当信息以不同框架呈现时他们转发更新的意愿,其中第一个因子是被试内因子,后三个是被试间因子。
结果表明:(1)参与者更愿意转发好消息(如治愈)而非坏消息(如死亡);(2)在报道坏消息时,纳入“人口基数”能有效减少负面情绪;(3)在报道好消息时,为了最大化积极情绪,不包括“人口基数”比包括它更有效;(4)文本加图表的框架在降低风险认知水平和负面情绪方面比纯文本框架更有效。
本研究与个人和组织如何传播有关这种病毒性疫情的信息以及此类新闻对公众可能产生的影响相关。