Friends influence each other in their opinion of many aspects of life. In this video we describe how the level of connectedness in a social network relates to the extent in which individuals in it influence each other.
One of the main building blocks of modern AI-tools are artificial neural networks, abstract models inspired by the structure and functions of biological neural networks which enable machines to "learn". In this article, I will discuss some thoughts on this topic.
An echo chamber is a community wherein the same opinions are bounced around, endlessly ‘echoing’ with barely any change. And as they do, any other opinion is shunned, pushed aside, and eventually just rejected without consideration.
In this article, dear reader, I am going to show you in which way the development of your opinion during the last political issue, the spread of a virus among your acquaintances during the current pandemic, and the alignment of some particles lying inside the device from which you are reading this article are extremely comparable phenomena.
Applications of machine learning models are everywhere, with many online platforms and major science fields using tools relying on machine learning. Take, for example, image recognition and computer vision. But did you know that the results of supposedly perfect and accurate machine learning models can be deceived by slight perturbations in the data?
Phenomena like social cohesion and polarisation emerge from individual interactions on the social network of relationships between people. So, what does this network look like?