In this episode of #aBitOfCCS, Jana Bernhard-Harrer interviews Said Unger from the University of Münster about his research on combating disinformation through prebunking interventions. Said’s study, "Immunize the Public against Disinformation Campaigns: Developing a Framework for Analyzing the Macrosocial Effects of Prebunking Interventions," explores how Agent-Based Modeling (ABM) can help identify key turning points for preventing the spread of disinformation at a societal level. Don’t miss this conversation on the challenges and innovations in combating disinformation at scale!

Additional Resources:

• Study Link: Immunize the Public against Disinformation Campaigns

• Learn ABM with Python: ABM Python Tutorial by Mariuzka

For further insights, you can reach out to Said Unger at said.unger@uni-muenster.de.

Podden och tillhörande omslagsbild på den här sidan tillhör Emese Domahidi & Mario Haim. Innehållet i podden är skapat av Emese Domahidi & Mario Haim och inte av, eller tillsammans med, Poddtoppen.

What is it about computational communication science?

#aBitOfCCS on ABM with Said Unger hosted by Jana Bernhard-Harrer

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