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PhD2022-02 - Social listening – Using social media to address public health issues


Social media has deeply penetrated people’s lives in many aspects. For public health professionals and organizations, social media serves as a multifunctional tool to launch interventions to reach a wide array of the population efficiently. Innovative AI-based solutions are needed to analyse the large and unstructured data sets. For the general public, social media is used to satisfy its orientation for health information, linking with health services and communication with others who share the same health interests. However, growing digitalisation and social media can also serve as a catalyst of misinformation, which often spills over to the offline domain. Therefore, risk communication and community engagement are essential throughout the prevention, preparedness, response and recovery phases of a serious public health event.


The first aim of the project is to develop a strategy to integrate social media data into health monitoring research. Secondly, an AIpowered online social listening tool according to the World Health Organization (WHO) model should be developed. These tools will help us to better use the potential of social media to address public health issues.

AI Methods

You will apply and develop (un-)supervised learning methods. For the analysis of social media data, you will use various methods from the field of natural language processing and from the field of deep learning and spatio-temporal analysis.

Apply via email here: [email protected]

Stand: 12.05.2022







Das Robert Koch-Institut ist ein Bundesinstitut im Geschäftsbereich des Bundesministeriums für Gesundheit

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