Introduction:

In this episode, I talk to Dominik Presl who currently works in the field of misinformation and disinformation as an analyst, researcher and advisor.


Outline:

(01:25) - What do you do

(04:40) - What is misinformation and disinformation and what isn't

(09:39) - Sources of disinformation and misinformation

(18:15) - Finland’s resilience to misinformation and disinformation

(20:19) - Tackling mis/disinformation

(27:12) - Change of attitude towards the lab leak theory

(31:53) - For-profit organizations and their role in mis/disinformation

(38:50) - Power of a large number of weak predictors (please see Reference 1)

(41:02) - Open source software

(41:57) - Thought experiment to make algorithms more public to fight mis/disinformation

(43:43) - Examples of innovative solutions to tackle misinformation and disinformation

(45:50) - On biases and opinion confirmations

(50:47) - Incentives in the private sector being misaligned with what is the best for the society

(55:18) - Regulation to align incentives of private companies and the society

(58:38) - How to measure level of mis/disinformation

(60:32) - Why measuring level mis/disinformation is so hard

(01:10:05) - Dominik’s path to the field of misinformation

(01:18:00) - Dominik’s path to studying Modern Middle Eastern Studies at Oxford

(01:23:56) - How I discovered data science

(01:32:20) - Why I liked statistics so much

(01:37:20) - Data manipulation used for misleading

(01:39:14) - Why taking statistics classes at university

(01:41:47) - What's needed to work in mis/disinformation research/analysis and general advice

(01:49:37) - Dominik’s decision making mindset

(01:54:19) - Dominik’s future plans

(02:00:56) - Contacting Dominik


Guest Info:

Dominik's Linkedin

Dominik's Twitter


Podcast Info:

Anchor


Apple Podcast


Google Podcast


Instagram


Robin's Linkedin


References:
Reference 1:

In this episode, I used the term "group think", which is completely confusing and wrong. I was not aware of the meaning. Nevertheless, what I was saying is correct, I believe. Please see this document I made to explain further the phenomena I was referring to using a hypothetical example and the Central Limit Theorem- Google Docs Link

Twitter Mentions