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

This paper investigates the causes and consequences of cigarette butts in nature and smokers’ behavior of littering the butts. The subject is partly chosen because of our personal interest in environmental protection. The paper will account for our chosen approach towards the issue and the following development of a product solution that might help solve the issue. Qualitative interviews with professionals that study this field will be accounted for and analyzed, as well as quantitative surveys with the public. The analyses will be carried out based on relevant theory of the field, which in pr