Atomkraft alá SEABORG

Det færdige projekt.

Anbefalings systemer/modeller

YouTube has been accused of radicalizing users on their platform, through the unforeseen
consequence of the concept of the so-called filter bubbles. Through a series of experiments and case
studies, based on general implications of machine learning, black boxes and surveillance capitalism,
this research team has explored the validity of filter bubbles as a theory. By developing a model for
measuring nuttiness based on elements of structured observation, the team is able to determine the
general nut-number of any given YouTube video and measure the influence of clicks on the
recommender system

Stigen

This project seeks to confirm or deny the hypothesis that students at Roskilde University in Denmark have an overall negative perception of the future. Based on the negative rhetoric and scaring artifacts concerning the future, not to mention the substantial research supporting the fact that there is an overwhelming fear with particularly young people, who are concerned about what the future holds. With doomsdays prophecies from everything from the climate crisis to the corona crisis. But is this fear truly justified? What does the data show us about the future?

Mikkel isn't working on any live projects right now.