社会倾听促进不同文化人群获得适当的流行病信息:来自芬兰的案例研究

IF 3.5 Q1 HEALTH CARE SCIENCES & SERVICES
JMIR infodemiology Pub Date : 2022-07-01 DOI:10.2196/38343
Anna-Leena Lohiniva, Katja Sibenberg, Sara Austero, Natalia Skogberg
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引用次数: 3

摘要

背景:社会倾听是监测和分析对话以通知沟通活动的过程,是信息管理的重要组成部分。它有助于为在文化上可接受并适合不同亚群体的特定环境的传播策略提供信息。社交倾听是基于目标受众自己可以最好地定义自己的信息需求和信息的概念。目的:本研究旨在通过一系列基于网络的讲习班描述COVID-19大流行期间危机沟通和社区外展的系统社会倾听培训的发展情况,并报告讲习班参与者实施项目的经验。方法:一个多学科专家小组为负责社区外展或在不同语言人群中进行交流的个人开发了一系列基于网络的培训课程。参与者之前没有接受过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,以根据他们的具体需要和现有资源开发社会倾听系统。讲习班的设计考虑到了大流行的背景,并侧重于定性数据的收集。关于培训参与者经验的信息是根据参与者的反馈和他们的任务,并通过对每个小组的深入访谈收集的。结果:在2021年5月至9月期间,开展了一系列6次基于网络的研讨会。讲习班采用了一种系统的社会倾听方法,包括听取基于网络和离线的资源;快速定性分析与合成;开发沟通建议、信息和产品。在讲习班之间组织了后续会议,与会者可以在会上分享他们的成就和挑战。大约67%(4/6)的参与团队在培训结束时建立了社会倾听系统。团队根据他们的具体需求定制培训期间提供的知识。因此,团队开发的社会系统的结构、目标受众和目标略有不同。所有由此产生的社会倾听系统都遵循系统社会倾听的关键原则来收集和分析数据,并将这些新的见解用于进一步发展沟通策略。结论:本文描述了一种基于定性查询并适应当地优先事项和资源的信息学术管理系统和工作流程。这些项目的实施导致了针对目标风险沟通的内容开发,解决了语言多样化的人群。这些系统可以适应未来的流行病和大流行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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

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

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.

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