‘Sora is incredible and scary’: public perceptions and governance challenges of text-to-video generative AI models
Introduction. Text-to-video generative AI models such as Sora OpenAI have the potential to disrupt multiple industries. In this paper, we report a qualitative social media analysis aiming to uncover people’s perceived impact of and concerns about Sora’s integration. Method. We collected and anal...
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| Format: | Article |
| Language: | English |
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University of Borås
2025-03-01
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| Series: | Information Research: An International Electronic Journal |
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| Online Access: | https://publicera.kb.se/ir/article/view/47290 |
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| author | Kyrie Zhixuan Zhou Abhinav Choudhry Ece Gumusel Madelyn Rose Sanfilippo |
| author_facet | Kyrie Zhixuan Zhou Abhinav Choudhry Ece Gumusel Madelyn Rose Sanfilippo |
| author_sort | Kyrie Zhixuan Zhou |
| collection | DOAJ |
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Introduction. Text-to-video generative AI models such as Sora OpenAI have the potential to disrupt multiple industries. In this paper, we report a qualitative social media analysis aiming to uncover people’s perceived impact of and concerns about Sora’s integration.
Method. We collected and analysed comments (N=292) under popular posts about (1) Sora generated videos, (2) a comparison between Sora videos and Midjourney images, and (3) artists’ complaints about copyright infringement by Generative AI.
Analysis. We employed a thematic analysis to analyse the collected comments.
Results. We found that people were most concerned about Sora’s impact on content creation-related industries. Governance challenges included the for-profit nature of OpenAI, the blurred boundaries between real and fake content, human autonomy, data privacy, copyright issues, and environmental impact. Potential regulatory solutions proposed by people included law-enforced labelling of AI content and AI literacy education for the public.
Conclusions. Based on the findings, we discuss the importance of gauging people’s tech perceptions early and propose policy recommendations to regulate Sora before its public release.
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| format | Article |
| id | doaj-art-fe37793560a14914bd67df652ade3c40 |
| institution | OA Journals |
| issn | 1368-1613 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | University of Borås |
| record_format | Article |
| series | Information Research: An International Electronic Journal |
| spelling | doaj-art-fe37793560a14914bd67df652ade3c402025-08-20T01:57:20ZengUniversity of BoråsInformation Research: An International Electronic Journal1368-16132025-03-0130iConf10.47989/ir30iConf47290‘Sora is incredible and scary’: public perceptions and governance challenges of text-to-video generative AI modelsKyrie Zhixuan Zhou0Abhinav Choudhry1Ece Gumusel2Madelyn Rose Sanfilippo3University of Illinois Urbana-Champaign, USAUniversity of Illinois Urbana-Champaign, USAIndiana University Bloomington, USAUniversity of Illinois Urbana-Champaign, USA Introduction. Text-to-video generative AI models such as Sora OpenAI have the potential to disrupt multiple industries. In this paper, we report a qualitative social media analysis aiming to uncover people’s perceived impact of and concerns about Sora’s integration. Method. We collected and analysed comments (N=292) under popular posts about (1) Sora generated videos, (2) a comparison between Sora videos and Midjourney images, and (3) artists’ complaints about copyright infringement by Generative AI. Analysis. We employed a thematic analysis to analyse the collected comments. Results. We found that people were most concerned about Sora’s impact on content creation-related industries. Governance challenges included the for-profit nature of OpenAI, the blurred boundaries between real and fake content, human autonomy, data privacy, copyright issues, and environmental impact. Potential regulatory solutions proposed by people included law-enforced labelling of AI content and AI literacy education for the public. Conclusions. Based on the findings, we discuss the importance of gauging people’s tech perceptions early and propose policy recommendations to regulate Sora before its public release. https://publicera.kb.se/ir/article/view/47290SoraGenerative AISocial media perspectiveGovernance |
| spellingShingle | Kyrie Zhixuan Zhou Abhinav Choudhry Ece Gumusel Madelyn Rose Sanfilippo ‘Sora is incredible and scary’: public perceptions and governance challenges of text-to-video generative AI models Information Research: An International Electronic Journal Sora Generative AI Social media perspective Governance |
| title | ‘Sora is incredible and scary’: public perceptions and governance challenges of text-to-video generative AI models |
| title_full | ‘Sora is incredible and scary’: public perceptions and governance challenges of text-to-video generative AI models |
| title_fullStr | ‘Sora is incredible and scary’: public perceptions and governance challenges of text-to-video generative AI models |
| title_full_unstemmed | ‘Sora is incredible and scary’: public perceptions and governance challenges of text-to-video generative AI models |
| title_short | ‘Sora is incredible and scary’: public perceptions and governance challenges of text-to-video generative AI models |
| title_sort | sora is incredible and scary public perceptions and governance challenges of text to video generative ai models |
| topic | Sora Generative AI Social media perspective Governance |
| url | https://publicera.kb.se/ir/article/view/47290 |
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