# Sora OpenAI's Prelude: Social Media Perspectives on Sora OpenAI and the Future of AI Video Generation

arXiv: https://arxiv.org/abs/2403.14665 · HTML: https://mlsanity.com/paper/2403.14665/

## Key facts

- Cited by 8 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 2 Mar 2024.

## Built on by (most cited first, 8 of 8)

- [The Dawn of Video Generation: Preliminary Explorations with SORA-like Models](https://mlsanity.com/paper/2410.05227/) (2024)
- [Bora: Biomedical Generalist Video Generation Model](https://mlsanity.com/paper/2407.08944/) (2024)
- [The Great AI Witch Hunt: Reviewers Perception and (Mis)Conception of Generative AI in Research Writing](https://mlsanity.com/paper/2407.12015/) (2024)
- ["Sora is Incredible and Scary": Emerging Governance Challenges of Text-to-Video Generative AI Models](https://mlsanity.com/paper/2406.11859/) (2024)
- [Generative AI for Video Trailer Synthesis: From Extractive Heuristics to Autoregressive Creativity](https://mlsanity.com/paper/2604.04953/) (2026)
- [SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models](https://mlsanity.com/paper/2603.00194/) (2026)
- [Who is Responsible When AI Fails? Mapping Causes, Entities, and Consequences of AI Privacy and Ethical Incidents](https://mlsanity.com/paper/2504.01029/) (2025)
- [User Negotiations of Authenticity, Ownership, and Governance on AI-Generated Video Platforms: Evidence from Sora](https://mlsanity.com/paper/2512.05519/) (2025)

## Abstract (arXiv)

The rapid advancement of Generative AI (Gen-AI) is transforming Human-Computer Interaction (HCI), with significant implications across various sectors. This study investigates the public's perception of Sora OpenAI, a pioneering Gen-AI video generation tool, via social media discussions on Reddit before its release. It centers on two main questions: the envisioned applications and the concerns related to Sora's integration. The analysis forecasts positive shifts in content creation, predicting that Sora will democratize video marketing and innovate game development by making video production more accessible and economical. Conversely, there are concerns about deepfakes and the potential for disinformation, underscoring the need for strategies to address disinformation and bias. This paper contributes to the Gen-AI discourse by fostering discussion on current and future capabilities, enriching the understanding of public expectations, and establishing a temporal benchmark for user anticipation. This research underscores the necessity for informed, ethical approaches to AI development and integration, ensuring that technological advancements align with societal values and user needs.