This study examines climate change discourse on Twitch, a popular streaming platform among young adults. Unlike previous research focusing solely on user comments, this work analyzes both video content and chat logs using automatic speech recognition (ASR) and natural language processing (NLP). The findings reveal Twitch as a vibrant hub for climate discussions among young users, challenging the notion that platform architecture significantly shapes circulating topics. The research contributes to the literature by expanding the empirical base for studying online climate change communication, especially among young audiences, and introduces a novel, objective, and repeatable methodology for analyzing large video datasets.
Publisher
Humanities and Social Sciences Communications
Published On
Nov 20, 2023
Authors
Andrés Navarro, Francisco J. Tapiador
Tags
climate change
Twitch
young adults
discourse analysis
natural language processing
automatic speech recognition
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