Social Media Viral Movement Risk

Reduce the reputational harm created by the viral acceleration of hate and defamation.

This Challenge is currently inactive.
Please see our Challenges page to discover other Challenges your innovation/expertise could be applicable to.

Munich Re is looking for technology partners that help protect organisations against the viral acceleration of hate on social media.

Application Deadline
April 22nd, 2022
Share this Challenge



About Munich Re: Munich Re is the world’s leading providers of reinsurance, primary insurance and insurance-related risk solutions. Munich Re is globally active and operates in all lines of the insurance business. Since it was founded in 1880, Munich Re has been known for its unrivalled risk-related expertise and its sound financial position. It offers customers financial protection when faced with exceptional levels of damage – from the 1906 San Francisco earthquake to the 2021 cyber ransom attacks. Munich Re possesses outstanding innovative strength, which enables us to provide coverage for extraordinary risks such as rocket launches, renewable energies, artificial intelligence, or pandemics. We are playing a key role in driving forward the digital transformation of the insurance industry, and in doing so has further expanded our ability to assess risks and the range of services that we are offering. Our tailor-made solutions and close proximity to its customers make Munich Re one of the world’s most sought-after risk partners for businesses, institutions, and private individuals.

About Munich Re Innovation: The Global Munich Re Innovation Unit seeks new ideas that help to shape emerging industries and markets, meet new demands and create tangible business value, in insurance and beyond. Munich Re enables internal and external entrepreneurs to transform ideas into successful new business models addressing future challenges.

Find out more


Munich Re have seen over the last years a rapidly spreading risk for organisations and individuals coming from the viral circulation of trends, hypes, and movements (largely driven by social media). It results increasingly often in reputational harm by viral acceleration of hate, defamation, or boycotts.

Our goal is to develop a risk solution that could prevent, mitigate, eliminate, or compensate for negative financial impacts to the targeted organizations who suffer losses from these viral movements. 

Munich Re is seeking startups with technology solutions (not consultancies) that can score vulnerability and/or provide early detections or warnings of viral movements that have the potential to harm the reputation of an organization. The reputational harm would lead to financial losses either through lost business or significant de-valuation of the organisation.

Your technology / analytics solutions could focus on:

  1. Analytics about trending (negative) sentiment on social media,
  2. Early detection of viral movements,
  3. Connecting viral movements to the reputational risk of specific organizations and scoring the vulnerability of organizations,
  4. Identification of fake or synthetic news targeting specific organizations,
  5. Analytics around characteristics of entities that have suffered the greatest reputational impacts in the last several years, as well as characteristics of those who lead and participate in viral movements, or
  6. Technology solutions that decrease the negative impact of viral movements or boycotts.

We are willing to consider early stage through mature startups in this space and look for a worldwide geographic boundary for the location of the startup/technology. 

We are also willing to consider technology and startups that may be in adjacent space but have technology that could be applied to assessment and or prediction of viral movements. We have no interest in solutions for reputational damage to political or celebrity figures.

What's in it for you?

Munich Re is looking for partners that provide scalable analytics services for viral movement risks. We are interested in buying the analytics results or co-developing new analytics solutions. We would also be interested in working together with universities, who have done research regarding this topic.