CORONA - QURATOR - PANQURA - a technology platform for more information transparency in times of crisis; subproject 3: Validation of sources, content, facts.

  • Funded by Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)
  • Total publications:0 publications

Grant number: 03COV03C

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Key facts

  • Disease

    COVID-19
  • Start & end year

    2021
    2022
  • Known Financial Commitments (USD)

    $613,553.28
  • Funder

    Bundesministerium für Bildung und Forschung [German Federal Ministry of Education and Research] (BMBF)
  • Principal Investigator

    Rolf Fricke
  • Research Location

    Germany
  • Lead Research Institution

    Condat Aktiengesellschaft
  • Research Priority Alignment

    N/A
  • Research Category

    Policies for public health, disease control & community resilience

  • Research Subcategory

    Communication

  • Special Interest Tags

    Innovation

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

The current Corona pandemic has shown that with the emergence of a crisis, an overflowing amount of information is published on effects, affected persons, regulations, medications and measures, the truthfulness and relevance of which is difficult to assess. This is also due to the fact that various forums with diverging opinions are formed on the emerging issues, for which there are neither established reliable sources nor a recognized circle of experts available. As a result, in the media and many other fields, time-consuming, manual analyses are increasingly being carried out to examine and evaluate information from the web and social media before it is used or further published. Against this background, Condat is researching and developing new services for the analysis and validation of sources, content, and facts based on AI and Semantic Web technologies in the present subproject, with which users can evaluate information from the Web more quickly and reliably.