Machine learning comes in a myriad of different flavours, designs, and approaches. During this talk we'll explore a common classification task of spotting a needle in a social media haystack. Approaching threat intelligence from a different angle, this talk will explore James' PhD research into identify and understanding the world of ideologically motivated cyber crime and far-right extremism on the Parler social network. Come to this talk if you're interested in where machine learning intersects with understanding threat actors, and on how ideologically motivated cyber crime originates. We'll cover: - Machine learning techniques - Why exploring ideologically motivated cyber crime is important - Understanding online extremism on the Parler social network