Department of Communication, University of Texas Rio Grande Valley, Ph.D. Granting Institution: Louisiana State University (2005), One West University Boulevard, Brownsville, TX, 78520, USA.
Soc Sci Med. 2022 Dec;315:115497. doi: 10.1016/j.socscimed.2022.115497. Epub 2022 Nov 9.
With signaling theory, credibility, and social media engagement (SME) as guiding frameworks, this study used an experiment to examine how social media influencers (SMIs) affect how people engage with COVID-19 misinformation. SMI-promoted information elicited more SME, credibility, and purchase likelihood than non-SMI promoted information. The most effective message was a post promoted by an SMI that contained detailed information about an authentic product. However, data indicated nuance regarding the effect of SMIs. The authenticity of the information as well as the amount of detail in the post played a role. Additionally, mediated effects analysis showed that the impact of SME on purchase likelihood was higher among non-SMI followers. Data suggests that using a multi-signal messaging approach is suitable regardless of promotion by an SMI. This has important implications to public health messaging and the author discusses how health agencies may effectively signal information to the public.
本研究以信号理论、可信度和社交媒体参与度(SME)为指导框架,通过实验探讨了社交媒体影响者(SMI)如何影响人们对 COVID-19 错误信息的参与度。与非 SMI 推广信息相比,SMI 推广的信息引发了更多的 SME、可信度和购买意愿。最有效的信息是由 SMI 推广的帖子,其中包含有关真实产品的详细信息。然而,数据表明 SMI 的影响存在细微差别。信息的真实性以及帖子的详细程度都发挥了作用。此外,中介效应分析表明,SME 对非 SMI 关注者购买意愿的影响更高。数据表明,无论是否由 SMI 进行推广,使用多信号信息传递方法都是合适的。这对公共卫生信息传递具有重要意义,作者讨论了卫生机构如何有效地向公众传递信息。