{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Kim S"],"funding":["Swiss National Science Foundation"],"pagination":["e0314429"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11602016"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["19(11)"],"pubmed_abstract":["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."],"journal":["PloS one"],"pubmed_title":["Understanding political communication and political communicators on Twitch."],"pmcid":["PMC11602016"],"funding_grant_id":["209250"],"pubmed_authors":["Kim S"],"additional_accession":[]},"is_claimable":false,"name":"Understanding political communication and political communicators on Twitch.","description":"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.","dates":{"release":"2024-01-01T00:00:00Z","publication":"2024","modification":"2025-04-04T01:45:42.406Z","creation":"2025-04-04T01:45:42.406Z"},"accession":"S-EPMC11602016","cross_references":{"pubmed":["39602443"],"doi":["10.1371/journal.pone.0314429"]}}