  The recent introduction of OpenAI's text-to-video model Sora has sparked
widespread public discourse across online communities. This study aims to
uncover the dominant themes and narratives surrounding Sora by conducting topic
modeling analysis on a corpus of 1,827 Reddit comments from five relevant
subreddits (r/OpenAI, r/technology, r/singularity, r/vfx, and r/ChatGPT). The
comments were collected over a two-month period following Sora's announcement
in February 2024. After preprocessing the data, Latent Dirichlet Allocation
(LDA) was employed to extract four key topics: 1) AI Impact and Trends in Sora
Discussions, 2) Public Opinion and Concerns about Sora, 3) Artistic Expression
and Video Creation with Sora, and 4) Sora's Applications in Media and
Entertainment. Visualizations including word clouds, bar charts, and t-SNE
clustering provided insights into the importance of topic keywords and the
distribution of comments across topics. The results highlight prominent
narratives around Sora's potential impact on industries and employment, public
sentiment and ethical concerns, creative applications, and use cases in the
media and entertainment sectors. While limited to Reddit data within a specific
timeframe, this study offers a framework for understanding public perceptions
of emerging generative AI technologies through online discourse analysis.
