@Article{info:doi/10.2196/43646,
author="Boender, T Sonia
and Schneider, Paula Helene
and Houareau, Claudia
and Wehrli, Silvan
and Purnat, Tina D
and Ishizumi, Atsuyoshi
and Wilhelm, Elisabeth
and Voegeli, Christopher
and Wieler, Lothar H
and Leuker, Christina",
title="Establishing Infodemic Management in Germany: A Framework for Social Listening and Integrated Analysis to Report Infodemic Insights at the National Public Health Institute",
journal="JMIR Infodemiology",
year="2023",
month="Jun",
day="1",
volume="3",
pages="e43646",
keywords="infodemic; social listening; communication; infodemiology; public health; health promotion; misinformation; integrated analysis; infodemic insights",
abstract="Background: To respond to the need to establish infodemic management functions at the national public health institute in Germany (Robert Koch Institute, RKI), we explored and assessed available data sources, developed a social listening and integrated analysis framework, and defined when infodemic management functions should be activated during emergencies. Objective: We aimed to establish a framework for social listening and integrated analysis for public health in the German context using international examples and technical guidance documents for infodemic management. Methods: This study completed the following objectives: identified (potentially) available data sources for social listening and integrated analysis; assessed these data sources for their suitability and usefulness for integrated analysis in addition to an assessment of their risk using the RKI's standardized data protection requirements; developed a framework and workflow to combine social listening and integrated analysis to report back actionable infodemic insights for public health communications by the RKI and stakeholders; and defined criteria for activating integrated analysis structures in the context of a specific health event or health emergency. Results: We included and classified 38{\%} (16/42) of the identified and assessed data sources for social listening and integrated analysis at the RKI into 3 categories: social media and web-based listening data, RKI-specific data, and infodemic insights. Most data sources can be analyzed weekly to detect current trends and narratives and to inform a timely response by reporting insights that include a risk assessment and scalar judgments of different narratives and themes. Conclusions: This study identified, assessed, and prioritized a wide range of data sources for social listening and integrated analysis to report actionable infodemic insights, ensuring a valuable first step in establishing and operationalizing infodemic management at the RKI. This case study also serves as a roadmap for others. Ultimately, once operational, these activities will inform better and targeted public health communication at the RKI and beyond. ",
issn="2564-1891",
doi="10.2196/43646",
url="https://infodemiology.jmir.org/2023/1/e43646",
url="https://doi.org/10.2196/43646",
url="http://www.ncbi.nlm.nih.gov/pubmed/37261891"
}