VET: A Framework for Analyzing AI Discourse
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arXiv
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| Format: | Preprint |
| Published: |
2026
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| _version_ | 1866914622231019520 |
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| author | Morris, Meredith Ringel |
| author_facet | Morris, Meredith Ringel |
| contents | Public discourse on AI has become polarized; exaggerated positions on AI in traditional and social media threaten the development of AI Literacy among the general public. In this article, I introduce the VET Framework, a method for categorizing AI discourse along the dimensions of valence, effectiveness, and trajectory. I show how this framework can be used to identify, compare, and critique prevalent narratives of AI Hype, AI Doom, AI Denial, and AI Normalcy. Using VET, I analyze how each of these four stances exaggerates some aspects of the current state and/or likely evolution of AI, and illustrate how the VET framework can serve as an AI Literacy tool by supporting the ``vetting'' of polarized AI discourse. |
| format | Preprint |
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arxiv_https___arxiv_org_abs_2606_01929 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | VET: A Framework for Analyzing AI Discourse Morris, Meredith Ringel Artificial Intelligence Public discourse on AI has become polarized; exaggerated positions on AI in traditional and social media threaten the development of AI Literacy among the general public. In this article, I introduce the VET Framework, a method for categorizing AI discourse along the dimensions of valence, effectiveness, and trajectory. I show how this framework can be used to identify, compare, and critique prevalent narratives of AI Hype, AI Doom, AI Denial, and AI Normalcy. Using VET, I analyze how each of these four stances exaggerates some aspects of the current state and/or likely evolution of AI, and illustrate how the VET framework can serve as an AI Literacy tool by supporting the ``vetting'' of polarized AI discourse. |
| title | VET: A Framework for Analyzing AI Discourse |
| topic | Artificial Intelligence |
| url | https://arxiv.org/abs/2606.01929 |