Student Scholar Symposium Abstracts and Posters

Document Type

Poster

Publication Date

Spring 5-1-2024

Faculty Advisor(s)

Dr. Jan Osborn

Abstract

In today’s era of information abundance, combating the proliferation of misinformation is paramount. The growing concern within the release of artificial intelligence–AI models–have exemplified concerns through Open AI’s new text-to-video learning language model: Sora, heightening the ever-present issue of how artificial intelligence will be a detriment to society. This project is a culmination of a comprehensive analysis regarding the ongoing discourse of the effects of this language learning text-to-video model and its impending effects of deception. Implementing James Paul Gee’s meticulous discourse analysis tools, I was able to meticulously examine online discussions spanning diverse social media platforms to unearth underlying concerns and themes. Specifically, by scrutinizing the ramifications of Sora-related misinformation, crucial issues, such as the erosion of public trust, copyright integrity, and authenticity challenges come to the fore. Illuminating these prevailing themes and areas of contention within the discourse, this study provides major insights for designing targeted interventions and educational initiatives aimed at fostering media literacy and critical thinking skills among society. This research contributes invaluable insights to a deeper comprehension of the intricate interaction between social media discourse and the magnification of misinformation in the domain of AI, providing valuable insights for mitigating its potential adverse effects and promoting more informed public discourse.

Comments

Presented at the Spring 2024 Student Scholar Symposium at Chapman University.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution-Noncommercial 4.0 License

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