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Recruiting for the Disinformation Detection Team.

We believe in a world where truth matters. That's why our goal is to create an info vaccine against online disinformation. We offer an exclusive online course on building a disinformation-resistant society. In it, we will use artificial intelligence to provide feedback after training AI to detect disinformation. To train AI, we need to create a training set of online articles annotated as disinformation or credible articles. This is the goal of the Disinformation Detection Team.

Acceptance of applications: until May 17, 2024.


Benefits for students selected for the Disinformation Detection Team:

  • Receive training from debunking experts (June 4-5, 2024, online)
  • You will receive a certificate confirming your qualification in debunking false information
  • You will work with experts across Europe to search for disinformation
  • All participating students will be included in the teams' online reports
  • The five most active students will have the opportunity to attend the project's winter school in Cyprus, where they will evaluate a course on disinformation detection (February 2026).
  • Earn extra money
  • You can use the results of the project in your thesis

Recruitment criteria:

  • Second semester full-time engineering (undergraduate) student
    will be given priority over other applicants
  • Good internet skills
  • Ability to critically evaluate web content in English (
    level of language at least B2)
  • Opportunity to allocate a certain amount of time to evaluate online articles
    from June 2024 to March 2025.
  • Interest in data science and NLP if you want to use the results of the project in your diploma

CONTACT

Contact person: Mateusz Zadroga, mzadroga1993@pjwstk.edu.pl
In a few sentences, send to the above address:

  • A brief description of yourself (interests, etc.),
  • Why you are interested in this project,
  • what preliminary knowledge you have about disinformation (if any).
    Planned dates and place of recruitment: May 20 - 23, 2024, room A467