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LIN3046: Group O's Project
Project Title: A Curated Dataset of Annotated Spoken Features in Pop-Culture Video Essay Transcripts
Abstract: Pop culture video essays have progressively become a dominant form of entertainment in the last few years on platforms like YouTube, often blending informal narration, internet-driven vernacular, and specific delivery styles. Despite the growing popularity, there are few publicly available datasets that document the discourse and linguistic features characterizing this genre. This paper introduces a curated dataset of manually annotated transcript segments collected from publicly available YouTube video essays. The dataset focuses on phenomena such as rhetorical questions, meme syntax, asides, pseudo-academic framing, along with prosodic styles. All annotations are embedded directly in the transcript text and distributed in a structured, reusable format. With this, the dataset aims to support research into digital discourse, creator culture, and informal online language use.
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