  As new technologies rapidly reshape patterns of political communication,
platforms like Twitch are transforming how people consume political
information. This entertainment-oriented live streaming platform allows us to
observe the impact of technologies such as ``live-streaming'' and
``streaming-chat'' on political communication. Despite its entertainment focus,
Twitch hosts a variety of political actors, including politicians and pundits.
This study explores Twitch politics by addressing three main questions: 1) Who
are the political Twitch streamers? 2) What content is covered in political
streams? 3) How do audiences of political streams interact with each other? To
identify political streamers, I leveraged the Twitch API and supervised
machine-learning techniques, identifying 574 political streamers. I used topic
modeling to analyze the content of political streams, revealing seven broad
categories of political topics and a unique pattern of communication involving
context-specific ``emotes.'' Additionally, I created user-reference networks to
examine interaction patterns, finding that a small number of users dominate the
communication network. This research contributes to our understanding of how
new social media technologies influence political communication, particularly
among younger audiences.
