Suppr超能文献

通过社交倾听提高文化多元人群获取适当大流行信息的能力:来自芬兰的案例研究

Social Listening to Enhance Access to Appropriate Pandemic Information Among Culturally Diverse Populations: Case Study From Finland.

作者信息

Lohiniva Anna-Leena, Sibenberg Katja, Austero Sara, Skogberg Natalia

机构信息

Finnish Institute for Health and Welfare Helsinki Finland.

出版信息

JMIR Infodemiology. 2022 Jul 8;2(2):e38343. doi: 10.2196/38343. eCollection 2022 Jul-Dec.

Abstract

BACKGROUND

Social listening, the process of monitoring and analyzing conversations to inform communication activities, is an essential component of infodemic management. It helps inform context-specific communication strategies that are culturally acceptable and appropriate for various subpopulations. Social listening is based on the notion that target audiences themselves can best define their own information needs and messages.

OBJECTIVE

This study aimed to describe the development of systematic social listening training for crisis communication and community outreach during the COVID-19 pandemic through a series of web-based workshops and to report the experiences of the workshop participants implementing the projects.

METHODS

A multidisciplinary team of experts developed a series of web-based training sessions for individuals responsible for community outreach or communication among linguistically diverse populations. The participants had no previous training in systematic data collection or monitoring. This training aimed to provide participants with sufficient knowledge and skills to develop a social listening system based on their specific needs and available resources. The workshop design took into consideration the pandemic context and focused on qualitative data collection. Information on the experiences of the participants in the training was gathered based on participant feedback and their assignments and through in-depth interviews with each team.

RESULTS

A series of 6 web-based workshops was conducted between May and September 2021. The workshops followed a systematic approach to social listening and included listening to web-based and offline sources; rapid qualitative analysis and synthesis; and developing communication recommendations, messages, and products. Follow-up meetings were organized between the workshops during which participants could share their achievements and challenges. Approximately 67% (4/6) of the participating teams established social listening systems by the end of the training. The teams tailored the knowledge provided during the training to their specific needs. As a result, the social systems developed by the teams had slightly different structures, target audiences, and aims. All resulting social listening systems followed the taught key principles of systematic social listening to collect and analyze data and used these new insights for further development of communication strategies.

CONCLUSIONS

This paper describes an infodemic management system and workflow based on qualitative inquiry and adapted to local priorities and resources. The implementation of these projects resulted in content development for targeted risk communication, addressing linguistically diverse populations. These systems can be adapted for future epidemics and pandemics.

摘要

背景

社会倾听是监测和分析对话以指导传播活动的过程,是信息疫情管理的重要组成部分。它有助于制定针对特定背景、在文化上可接受且适用于不同亚群体的传播策略。社会倾听基于这样一种理念,即目标受众自己最能界定他们自己的信息需求和信息内容。

目的

本研究旨在通过一系列网络研讨会描述在新冠疫情期间针对危机传播和社区外展开展系统社会倾听培训的过程,并报告参与实施项目的研讨会参与者的经验。

方法

一个多学科专家团队为负责社区外展或在语言多样化人群中进行传播的人员开发了一系列网络培训课程。参与者此前没有系统数据收集或监测方面的培训。该培训旨在为参与者提供足够的知识和技能,以便根据他们的特定需求和可用资源开发社会倾听系统。研讨会设计考虑了疫情背景,并侧重于定性数据收集。基于参与者反馈及其作业,并通过对每个团队进行深入访谈,收集了有关参与者培训经历的信息。

结果

2021年5月至9月期间举办了一系列6次网络研讨会。这些研讨会采用了系统的社会倾听方法,包括倾听网络和线下来源的信息;快速定性分析与综合;以及制定传播建议、信息内容和产品。在研讨会期间组织了后续会议以便参与者能够分享他们的成果和挑战。到培训结束时,约67%(4/6)的参与团队建立了社会倾听系统。各团队根据自身特定需求对培训期间提供的知识进行了调整。结果,各团队开发的社会系统在结构、目标受众和目标方面略有不同。所有最终形成的社会倾听系统都遵循了所教授的系统社会倾听的关键原则来收集和分析数据,并利用这些新见解进一步制定传播策略。

结论

本文描述了一个基于定性调查并适用于当地优先事项和资源的信息疫情管理系统及工作流程。这些项目的实施促成了针对目标风险传播的内容开发,面向语言多样化人群。这些系统可适用于未来的流行病和大流行病。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/577b/10014086/0007a46092ea/infodemiology_v2i2e38343_fig1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验