Title: Anticheat, Antitox, and the Bottom Line
Abstract: It seems like a no-brainer that keeping cheaters out of games would be a good idea for companies (and it's why jobs like mine exist). However, tensions appear when the population of cheaters overlaps with the population of spenders in games. This problem becomes even worse for Antitox, because the perceived harm is lower, often goes unreported, and does not have an obvious solution. For these reasons, investment in antitox is often below investment in anticheat, which means the solutions are often more heavy-handed, and less likely to be implemented because it is even more common for toxic players and spenders to overlap. In this talk, I will cover these issues from my standpoint as a data scientist, addressing the tensions and discussing the relative effects on our player populations.
Bio: I am a Philosopher-turned-Data Scientist. I received my PhD from Florida State University in 2019, but after attempting the academic job market for two years unsuccessfully, pivoted to Data Science in 2021. I have been an Anticheat Data Scientist for Activision Publishing since August 2021. I live in Denver, Colorado and have a wife and three kids who keep me busy when I'm not detecting cheaters, speed running retro games, or playing Rocket League.
The seminar will be held online.